Azure BI LIVE Online Training

This impeccable Azure BI Training course is carefully designed for aspiring BI Developers, Consultants and Azure Professionals. This Azure BI Online Training includes basic to advanced Azure Data Factory (ADF), Azure Storage, Azure Data Lake (ADL) and Azure Analysis Services (AAS) concepts with Real-time Project on End to End Implementation. This Azure BI Online Training course also includes Azure Migrations, Azure DataWarehouse (ADW) [Azure Synapse], Azure Data Bricks for Big Data Analytics, helpful for your next Job as well as to reshape your resume.

Complete practical and realtime Azure BI Training course with 24x7 LIVE server, Resume Guidance, ONE Real-time Project with Interview & Placement Assistance.

Azure BI Training Plans

	PLAN A	PLAN B	PLAN C
	1. Azure Data Engineer 2. Power BI	1. Azure Data Engineer 2. Power BI 3. Python	1. SQL Server 2. Azure Data Engineer 3. Power BI 4. Python
Total Duration	11 Weeks	15 Weeks	18 Weeks
Power BI: Report Design, Visuals	✔	✔	✔
Power BI: M Lang, DX for ETL	✔	✔	✔
Power BI: Report Server, Admin	✔	✔	✔
ADF : Azure Data Factory	✔	✔	✔
ADF : Data Imports, ETL	✔	✔	✔
ADF : Data Flows, Wrangling	✔	✔	✔
ADF : Transformations, ETL	✔	✔	✔
Synapse: Configuration, Loads	✔	✔	✔
Synapse: ETL with ADF, DWH	✔	✔	✔
Synapse: Performance Tuning	✔	✔	✔
Synapse: MPP, cDWH, DIUs	✔	✔	✔
ADB : Azure Data Bricks	✔	✔	✔
ADB : Architecture, Data Loads	✔	✔	✔
ADB : Run Spark Jobs, Pools	✔	✔	✔
ADB : Workspace, Delta Tables	✔	✔	✔
Storage : Storage & Containers	✔	✔	✔
Storage: BLOB Imports	✔	✔	✔
Storage: Security	✔	✔	✔
DP 500 [ADE + Power BI]	✔	✔	✔
Python Jupyter Notebooks	❌	✔	✔
Python Functions, JSON	❌	✔	✔
Python for Big Data Analytics	❌	✔	✔
Python Data Frames, Pandas	❌	✔	✔
SQL: Database Basics, T-SQL	❌	❌	✔
SQL : Constraints, Joins, Queries	❌	❌	✔
T-SQL : Queries, SProcs, Lock Hints	❌	❌	✔
SQL: Views, Group By, Self Joins	❌	❌	✔
Total Course Fee*	INR 37000 USD 465	INR 59000 USD 725	INR 64000 USD 810

Trainer: Mr. Sai Phanindra T

All Session Are Completely Practical & Real Time

S No	Time (IST, Mon - Fri)	Start Date
SQL Server & T-SQL Schedules
1	6 AM - 7 AM	Dec 5th	Register
2	8 AM - 9 AM	Dec 13th	Register
3	6 PM - 7 PM	Nov 22nd	Register
4	8 PM - 9 PM	Jan 22nd	Register
5	9 PM - 10 PM	Dec 19th	Register

S No	Time (IST, Mon - Fri)	Start Date
Power BI Training Schedules
6	8 AM - 9 AM	Jan 3rd	Register
7	6 PM - 7 PM	Dec 11th	Register
8	8 PM - 9 PM	Dec 25th	Register

Azure BI Training Highlights :

✔ Azure Fundamentals	✔ Azure AD
✔ Azure SQL Concepts	✔ Azure Migrations
✔ Azure AD	✔ Azure Key Vaults
✔ Azure Monitor	✔ Azure Functions
✔ Azure Data Factory	✔ Azure Synapse
✔ Azure Synapse	✔ Azure Strorage
✔ Data Lake Storage	✔ Data Lake Analytics
✔ Stream Analytics	✔ IoT, Event Hubs
✔ Azure Cosmos DB	✔ Azure Databricks
✔ Azure Notebooks	✔ U-SQL & NoSQL
✔ Python, Scala	✔ Spark Clusters
✔✔ End to End Real-time Project @ Resume

Azure BI Training Course Contents:

Curriculum

Register Today

Module 1: SQL Server & T-SQL Basics Training Content For Plan C

Ch 1: DATABASE INTRODUCTION

Data, Databases and RDBMS Software
Database Types : OLTP, DWH, OLAP
Microsoft SQL Server Advantages, Use
Versions and Editions of SQL Server
SQL : Purpose, Real-time Usage Options
SQL Versus Microsoft T-SQL [MSSQL]
Microsoft SQL Server - Career Options

SQL Server Components and Usage
Database Engine Component and OLTP
BI Components, Data Science Components
ETL, MSBI and Power BI Components
Course Plan, Concepts, Resume, Project
24 x 7 Online Lab for Remote DB Access
Software Installation Pre-Requisites

Ch 6: CONSTRAINTS, INDEXES

Constraints and Keys - Data Integrity
NULL, NOT NULL Property on Tables
UNIQUE KEY Constraints: Importance
PRIMARY KEY Constraint: Importance
FOREIGN KEY Constraint: Importance
REFERENCES, CHECK & DEFAULT
Candidate Keys and Identity Property

Database Diagrams and ER Models
Relationships Verification and Links
Indexes : Basic Types and Creation
Index Sorting and Search Advantages
Clustered and NonClustered Indexes
Primary Key and Unique Key Indexes
Need for Indexes - working with Keys

Ch 11: TRIGGERS & TRANSACTIONS

Triggers - Purpose, Real-world Usage
FOR/AFTER Triggers - Real time Use
INSTEAD OF Triggers - Real time Use
INSERTED, DELETED Memory Tables
Using Triggers for Data Replication
Enable Triggers and Disable Triggers
Database Level, Server Level Triggers

Transactions : Types, ACID Properties
Transaction Types and AutoCommit
EXPLICIT & IMPLICIT Transactions
COMMIT and ROLLBACK Statements
Batch Concept and Go Statement
Using Transactions in Real-time
Using Conditional Commits, Rollbacks

Ch 2: SQL SERVER INSTALLATIONS

SQL Server & SSMS Installation Plan
SQL Server Pre-requisites : S/W, H/W
SQL Server 2022 & 2019 Installation
Instance Name and Server Features
Instances : Types and Properties
Default Instance, Named Instances
Service and Service Account Use

Authentication Modes and Logins
Windows Logins and SQL Logins
SQL Server Management Studio
Server Connections with SSMS Tool
Local and Remote Connections
System Databases: Master and Model
MSDB, TempDB, Resource Databases

Ch 7: JOINS BASICS, TSQL QUIRIES

JOINS - Table Comparisons Queries
INNER JOINS For Matching Data
OUTER JOINS For (non) Match Data
Join Queries with "ON" Conditions
Left Outer Joins - Example Queries
Right Outer Joins - Example Queries
FULL Outer Joins: Realtime Scenarios

CROSS JOIN and CROSS APPLY
One-way, Two way Data Comparisons
Table Aliases with Join Queries
Using Table Aliases & Column Aliases
Optimizing Join Queries with Indexes
Choosing Correct Comparison Columns
Joining Unrelated Tables in TSQL

Ch 12: NORMAL FORMS, MERGE

First Normal Form and Atomicity
Third Normal Form and MVD Property
Boycee-Codd Normal Form : BNCF
Fourth Normal Form : Advantages
Self Reference Keys and 4 NF Usage
1:1, 1:M, M:1, M:M Relationship Types
MERGE Statement - Comparing Tables

WHEN MATCHED and NOT MATCHED
Incremental Load & MERGE Statement
UPSERT Operations with MERGE
DML Operations with ON Keyword
Comparing JOINS with MERGE
Stored Procedures for Merge Statement

Ch 3: SSMS Tool, SQL BASICS - 1

Creating Databases: Files [MDF, LDF]
Creating Tables in User Interface
Data Insertion & Report in User Interface
SQL : Purpose and Real-time Usage
SQL Versus T-SQL : Basic Differences
DDL, DML, SELECT, DCL and TCL
Creating SSMS Sessions : SPID

Create, Connect Databases using SQL
Creating Tables with INT, CHAR
Data Storage, Inserts - Basic Level
Table Data Verifications with Select
SELECT Statement for Table Retrieval
Identify Databases and Tables
Identify Sessions and Session ID

Ch 8: GROUP BY, LINKED SERVERS

GROUP BY: Importance, Realtime Use
GROUP BY Queries and Aggregations
Group By Queries with Having Clause
Group By Queries with Where Clause
Using WHERE and HAVING in T-SQL
Using Group By in Data Audits
Using Group By with Joins - 2 Tables

Linked Servers Configurations
Linked Servers: RPC Settings & Tests
Data Access & Windows Security
Linked Servers, Remote Joins in TSQL
Multi Server Connections, DB Access
2 Part, 3 Part, 4 Part Naming Styles
Remote Joins Queries and Aliases

Ch 13: TSQL Queries: Group By, Joins

Joins with Group By Queries in TSQL
Joining 4 Tables with Group By
Multi Table Joins with Table Aliases
Query Execution Order & Aliases
Joins with HAVING Conditions
Joins with WHERE & Aggregations
Joins with Sub Queries, Formatting

Joins with IIF() Function, Conditions
Joins with CASE Statement Conditions
UNION and UNION ALL Operator
Storing Queries in Database Views
Excel Office Data Connection Reports
Manual Data Refresh in Excel Reports

Ch 4: SQL BASICS - 2

Creating Tables: VARCHAR, FLOAT
Single Row Inserts, Multi Row Inserts
Rules for Data Insertion Statements
SELECT with WHERE Conditions
AND and OR Operators Usage
IN Operator and NOT IN Operator
Between, Not Between Operators

LIKE and NOT LIKE Operators
ORDER BY, TOP & OFFSET
Basic Sub Queries with SELECT
UPDATE Statement & Conditions
DELETE & TRUNCATE Statements
ALTER, ADD COLUMN Statements
DROP Statements: Table, Database

Ch 9: VIEWS - BASICS, DATA TYPES

Database Objects: Overview & Usage
Views: Types, Usage in Real-time
Creating, Executing & Verifying Views
DML Operatons with Views
Using WITH CHECK OPTION in Views
System Predefined Views and Audits
databases, sys.schemas, sys.tables

Variables - Purpose & Usage
Variables - Declaration and Data Retreival
Table Variables : Declaration, Usage
Data Types - Numeric, Character Types
Data Types - Decimal, Floating Types
Data Types - Date and Time Data Types
Cursor Data Type and Realtime Use

Ch 14: Architecture, Cursors & CTEs

Database Architecture : Data & Log Files
Secondary Data Files (ndf) & Table Data
Filegroups: Realtime Use, Data Mapping
Using Filegroups for Table Creations
File Size, Max Size and Auto Growth
Log Files (ldf) : Realtime Usage, Sizing
Cursors - Benefits, Cursors in SProcs

Using Cursors in Real-world Scenarios
Cursors : Declaring Variables, Life Cycle
Declaration, Open / Close Cursors
CTE: Common Table Expressions
Real-time Scenarios with CTEs - Usage
Using CTEs for Data Retrieval, SELECT

Ch 5: SQL Basics - 3, TSQL INTRO

Database Objects : Tables and Schemas
Schemas : Group Tables in Database
Schemas : Security Management Object
Creating Schemas & Batch Concept
Using Schemas for Table Creation
Data Storage in Tables with Schemas
Data Retrieval & Usage with Schemas

Table Migrations across Schemas
Import and Export Wizard in SSMS
Data Imports with Excel File Data
Performing Bulk Operations in SSMS
Temporary Tables : Real-time Use
Local and Global Temporary Tables
# and ## Prefix, Scope of Usage

Ch 10: FUNCTIONS, PROCEDURES BASICS

Using Variables in Real-time
Understand & Use Parameters
Procedures: Usage in Real-time
Creating and Executing Stored Procs
Using Parameters in SQL Server
Functions: Creation, Usage in Real-time
Using table Data Type with Functions

Functions for Dynamic, Condition Joins
Implement Parameterized Joins
Data and Time Functions with Queries
String Functions & Usage in TSQL
Verify Database Objects; sp_helpdb
sp_help, sp_helptext, sp_helpindex
sp_help, sp_rename, sp_recompile

Case Study 1 - Database, Table Design
(Involves All concepts from Ch 1 to 7)

Case Study 2 - Query Writing
(Involves All concepts from Ch 1 to 14)

Module 2: Power BI Training Content For Plan A, B,C

Part 1: Power BI Report Design	Part 2: ETL, Data Modeling, DAX	Part 3: Power BI Cloud, Admin
Ch 1 : POWER BI BASICS Power BI Job Roles in Real-time Power BI Data Analyst Job Roles Business Analyst - Job Roles Power BI Developer - Job Roles Power BI for Data Scientists Comparing MSBI and Power BI Comparing Tableau and Power BI MCSA 70-778, MCSA 70-779 Exam Types of Reports in Real-World Interactive & Paginated Reports Analytical & Mobile Reports Data Sources Types in Power BI Power BI Licensing Plans - Types Power BI Training : Lab Plan Power BI Dev & Prod Environments	Ch 7 : POWER QUERY LEVEL 1 Power Query M Language Purpose Power Query Architecture and ETL Data Types, Literals and Values Power Query Transformation Types Table & Column Transformations Text & Number Transformations Date, Time and Structured Data List, Record and Table Structures let, source, in statements @ M Lang Power Query Functions, Parameters Invoke Functions, Execution Results Get Data, Table Creations and Edit Merge and Append Transformations Join Kinds, Advanced Editor, Apply ETL Operations with Power Query	Ch 13 : POWER BI CLOUD - 1 Power BI Service Architecture Power BI Cloud Components, Use App Workspaces, Report Publish Reports & Related Datasets Cloud Creating New Reports in Cloud Report Publish and Report Uploads Dashboards Creation and Usage Adding Tiles to Dashboards Pining Visuals and Report Pages Visual Pin Actions in Dashboards LIVE Page Interaction in Dashboard Adding Media: Images, Custom Links Adding Chs and Embed Links API Data Sources, Streaming Data Streaming Dataset Tiles (REST API)
Ch 2: BASIC REPORT DESIGN Power BI Desktop Installation Data Sources & Visual Types Canvas, Visualizations and Fields Get Data and Memory Tables In-Memory xvelocity Database Table and Tree Map Visuals Format Button and Data Labels Legend, Category and Grid PBIX and PBIT File Formats Visual Interaction, Data Points Disabling Visual Interactions Edit Interactions - Format Options SPOTLIGHT & FOCUSMODE CSV and PDF Exports. Tooltips Power BI EcoSystem, Architecture	Ch 8 : POWER QUERY LEVEL 2 Query Duplicate, Query Reference Group By and Advanced Options Aggregations with Power Query Transpose, Header Row Promotion Reverse Rows and Row Count Data Type Changes & Detection Replace Columns: Text, NonText Replace Nulls: Fill Up, Fill Down PIVOT, UNPIVOT Transformations Move Column and Split Column Extract, Format and Numbers Date & Time Transformations Deriving Year, Quarter, Month, Day Add Column : Query Expressions Query Step Inserts and Step Edits	Ch 14 : POWER BI CLOUD - 2 Dashboards Actions,Report Actions DataSet Actions: Create Report Share, Metrics and Exports Mobile View & Dashboard Themes Q & A [Cortana] and Pin Visuals Export, Subscribe, Subscribe Favorite, Insights, Embed Code Featured Dashboards and Refresh Gateways Configuration, PBI Service Gateway Types, Cloud Connections Gateway Clusters, Add Data Sources Data Refresh : Manual, Automatic PBIEngw Service, ODG Logs, Audits DataFlows, Power Query Expressions Adding Entities and JSON Files
Ch 3 : Visual Sync, Grouping Slicer Visual : Real-time Usage Orientation, Selection Properties Single & Multi Select, CTRL Options Slicer : Number, Text and Date Data Slicer List and Slicer Dropdowns Visual Sync Limitations with Slicer Disabling Slicers,Clear Selections Grouping : Real-time Use, Examples List Grouping and Binning Options Grouping Static / Fixed Data Values Grouping Dynamic / Changing Data Bin Size and Bin Limits (Max, Min) Bin Count and Grouping Options Grouping Binned Data, Classification	Ch 9 : POWER QUERY LEVEL 3 Creating Parameters in Power Query Parameter Data Types, Default Lists Static/Dynamic Lists For Parameters Removing Columns and Duplicates Convert Tables to List Queries Linking Parameters to Queries Testing Parameters and PBI Canvas Multi-Valued Parameter Lists Creating Lists in Power Query Converting Lists to Table Data Advanced Edits and Parameters Data Type Conversions, Expressions Columns From Examples, Indexes Conditional Columns, Expressions	Ch 15 : EXCEL & RLS Import and Upload Options in Excel Excel Workbooks and Dashboards Datasets in Excel and Dashboards Using Excel Analyzer in Power BI Using Excel Publisher in PBI Cloud Excel Workbooks, PINS in Power BI Excel ODC Connections, Power Pivot Row Level Security (RLS) with DAX Need for RLS in Power BI Cloud Data Modeling in Power BI Desktop DAX Roles Creation and Testing Adding Power BI Users to Roles Custom Visualizations in Cloud Histogram,Gantt Chart,Infographics
Ch 4 : Hierarchies, Filters Creating Hierarchies in Power BI Independent Drill-Down Options Dependant Drill-Down Options Conditional Drilldowns, Data Points Drill Up Buttons and Operations Expand & Show Next Level Options Dynamic Data Drills Limitations Show Data and See Records Filters : Types and Usage in Real-time Visual Filter, Page Filter, Report Filter Basic, Advanced and TOP N Filters Category and Summary Level Filters DrillThru Filters, Drill Thru Reports Keep All Filters" Options in DrillThru CrossReport Filters, Include, Exclude	Ch 10 : DAX Functions - Level 1 DAX : Importance in Real-time Real-world usage of Excel, DAX DAX Architecture, Entity Sets DAX Data Types, Syntax Rules DAX Measures and Calculations ROW Context and Filter Context DAX Operators, Special Characters DAX Functions, Types in Real-time Vertipaq Engine, DAX Cheat Sheet Creating, Using Measures with DAX Creating, Using Columns with DAX Quick Measures and Summaries Validation Errors, Runtime Errors SUM, AVERAGEX, KEEPFILTERS Dynamic Expressions, IF in DAX	Ch 16 : Report Server, RDL Need for Report Server in PROD Install, Configure Report Server Report Server DB, Temp Database Webservice URL, Webportal URL Creating Hybrid Cloud with Power BI Using Power BI DesktopRS Uploading Interactive Reports Report Builder For Report Server Report Builder For Power BI Cloud Designing Paginated Reports (RDL) Deploy to Power BI Report Server Data Source Connections, Report Power BI Report Server to Cloud Tenant IDs Generation and Use Mobile Report Publisher, Usage
Ch 5 : Bookmarks, Azure, Modeling Drill-thru Filters, Page Navigations Bookmarks : Real-time Usage Bookmarks for Visual Filters Bookmarks for Page Navigations Selection Pane with Bookmarks Buttons, Images with Actions Buttons, Actions and Text URLs Bookmarks View & Selection Pane OLTP Databases, Big Data Sources Azure Database Access, Reports Import & Direct Query with Power BI SQL Queries and Enter Data Data Modeling : Currency, Relations Summary, Format, Synonyms Web View & Mobile View in PBI	Ch 11 : DAX Functions - Level 2 Data Modeling Options in DAX Detecting Relations for DAX Using Calculated Columns in DAX Using Aggregated Measures in DAX Working with Facts & Measures Modeling : Missing Relations Modeling : Relation Management CALCULATE Function Conditions CALCULATE & ALL Member Scope RELATED & COUNTROWS in DAX Entity Sets and Slicing in DAX Dynamic Expressions, RETURN Date, Time and Text Functions Logical, Mathematical Functions Running Total & EARLIER Function	Ch 17: MSBI Integrations Power BI with SQL Server Source Power BI with SQL Data Warehouse Power BI with SSAS OLAP Server Power BI with Azure SQL DB Source Power BI with Azure SQL Warehouse Power BI with Azure Analysis Server Power BI with SSRS (RDL) Reports Power BI Report Builder Tool Installation & Configuration Paginated Reports Design, Use Data Sources, Datasets, RDL Report Publish (RDL) to Cloud Report Verifications, Data Sync Interactive Vs Paginated Reports Creating, Managing Alerts in Cloud
Ch 6 : Visualization Properties Stacked Charts and Clustered Charts Line Charts, Area Charts, Bar Charts 100% Stacked Bar & Column Charts Map Visuals: Tree, Filled, Bubble Cards, Funnel, Table, Matrix Scatter Chart : Play Axis, Labels Series Clusters & Selections Waterfall Chart and ArcGIS Maps Infographics, Icons and Labels Color Saturation, Sentiment Colors Column Series, Column Axis in Lines Join Types : Round, Bevel, Miter Shapes, Markers, Axis, Plot Area Display Units,Data Colors,Shapes Series, Custom Series and Legends	Ch 12 : DAX FUNCTIONS Level 3 1:1, 1:M and M:1 Relations Connection with CSV, MS Access AVERAGEX and AVERAGE in DAX KEEPFILTERS and CALCUALTE COUNTROWS, RELATED, DIVIDE PARALLELPERIOD, DATEDADD CALCULATE & PREVIOUSMONTH USERELATIONSHIP, DAX Variables TOTALYTD , TOTALQTD DIVIDE, CALCULATE, Conditions IF..ELSE..THEN Statement SELECTEDVALUE, FORMAT SUM, DATEDIFF Examples in DAX TODAY, DATE, DAY with DAX Time Intelligence Functions - DAX	Ch 18 : REAL-TIME PROJECT Project Requirement Analysis Implementing SDLC Phases Requirement Gathering, FSA Phase 1: PBIX Report Design Visualizations, Properties Analytics and Formating Phase 2: Data Modeling, Power Query Dynamic Connections, Azure DB Parameters and M Lang Scripts Phase 3: DAX Requriements, Analysis Cloud and Report Server Project FAQs and Solutions

Part 1: Power BI Report Design

Part 2: ETL, Data Modeling, DAX

Part 3: Power BI Cloud, Admin

Ch 1 : POWER BI BASICS

Power BI Job Roles in Real-time
Power BI Data Analyst Job Roles
Business Analyst - Job Roles
Power BI Developer - Job Roles
Power BI for Data Scientists
Comparing MSBI and Power BI
Comparing Tableau and Power BI
MCSA 70-778, MCSA 70-779 Exam

Types of Reports in Real-World
Interactive & Paginated Reports
Analytical & Mobile Reports
Data Sources Types in Power BI
Power BI Licensing Plans - Types
Power BI Training : Lab Plan
Power BI Dev & Prod Environments

Ch 7 : POWER QUERY LEVEL 1

Power Query M Language Purpose
Power Query Architecture and ETL
Data Types, Literals and Values
Power Query Transformation Types
Table & Column Transformations
Text & Number Transformations
Date, Time and Structured Data
List, Record and Table Structures

let, source, in statements @ M Lang
Power Query Functions, Parameters
Invoke Functions, Execution Results
Get Data, Table Creations and Edit
Merge and Append Transformations
Join Kinds, Advanced Editor, Apply
ETL Operations with Power Query

Ch 13 : POWER BI CLOUD - 1

Power BI Service Architecture
Power BI Cloud Components, Use
App Workspaces, Report Publish
Reports & Related Datasets Cloud
Creating New Reports in Cloud
Report Publish and Report Uploads
Dashboards Creation and Usage
Adding Tiles to Dashboards

Pining Visuals and Report Pages
Visual Pin Actions in Dashboards
LIVE Page Interaction in Dashboard
Adding Media: Images, Custom Links
Adding Chs and Embed Links
API Data Sources, Streaming Data
Streaming Dataset Tiles (REST API)

Ch 2: BASIC REPORT DESIGN

Power BI Desktop Installation
Data Sources & Visual Types
Canvas, Visualizations and Fields
Get Data and Memory Tables
In-Memory xvelocity Database
Table and Tree Map Visuals
Format Button and Data Labels
Legend, Category and Grid

PBIX and PBIT File Formats
Visual Interaction, Data Points
Disabling Visual Interactions
Edit Interactions - Format Options
SPOTLIGHT & FOCUSMODE
CSV and PDF Exports. Tooltips
Power BI EcoSystem, Architecture

Ch 8 : POWER QUERY LEVEL 2

Query Duplicate, Query Reference
Group By and Advanced Options
Aggregations with Power Query
Transpose, Header Row Promotion
Reverse Rows and Row Count
Data Type Changes & Detection
Replace Columns: Text, NonText
Replace Nulls: Fill Up, Fill Down

PIVOT, UNPIVOT Transformations
Move Column and Split Column
Extract, Format and Numbers
Date & Time Transformations
Deriving Year, Quarter, Month, Day
Add Column : Query Expressions
Query Step Inserts and Step Edits

Ch 14 : POWER BI CLOUD - 2

Dashboards Actions,Report Actions
DataSet Actions: Create Report
Share, Metrics and Exports
Mobile View & Dashboard Themes
Q & A [Cortana] and Pin Visuals
Export, Subscribe, Subscribe
Favorite, Insights, Embed Code
Featured Dashboards and Refresh

Gateways Configuration, PBI Service
Gateway Types, Cloud Connections
Gateway Clusters, Add Data Sources
Data Refresh : Manual, Automatic
PBIEngw Service, ODG Logs, Audits
DataFlows, Power Query Expressions
Adding Entities and JSON Files

Ch 3 : Visual Sync, Grouping

Slicer Visual : Real-time Usage
Orientation, Selection Properties
Single & Multi Select, CTRL Options
Slicer : Number, Text and Date Data
Slicer List and Slicer Dropdowns
Visual Sync Limitations with Slicer
Disabling Slicers,Clear Selections

Grouping : Real-time Use, Examples
List Grouping and Binning Options
Grouping Static / Fixed Data Values
Grouping Dynamic / Changing Data
Bin Size and Bin Limits (Max, Min)
Bin Count and Grouping Options
Grouping Binned Data, Classification

Ch 9 : POWER QUERY LEVEL 3

Creating Parameters in Power Query
Parameter Data Types, Default Lists
Static/Dynamic Lists For Parameters
Removing Columns and Duplicates
Convert Tables to List Queries
Linking Parameters to Queries
Testing Parameters and PBI Canvas

Multi-Valued Parameter Lists
Creating Lists in Power Query
Converting Lists to Table Data
Advanced Edits and Parameters
Data Type Conversions, Expressions
Columns From Examples, Indexes
Conditional Columns, Expressions

Ch 15 : EXCEL & RLS

Import and Upload Options in Excel
Excel Workbooks and Dashboards
Datasets in Excel and Dashboards
Using Excel Analyzer in Power BI
Using Excel Publisher in PBI Cloud
Excel Workbooks, PINS in Power BI
Excel ODC Connections, Power Pivot

Row Level Security (RLS) with DAX
Need for RLS in Power BI Cloud
Data Modeling in Power BI Desktop
DAX Roles Creation and Testing
Adding Power BI Users to Roles
Custom Visualizations in Cloud
Histogram,Gantt Chart,Infographics

Ch 4 : Hierarchies, Filters

Creating Hierarchies in Power BI
Independent Drill-Down Options
Dependant Drill-Down Options
Conditional Drilldowns, Data Points
Drill Up Buttons and Operations
Expand & Show Next Level Options
Dynamic Data Drills Limitations
Show Data and See Records

Filters : Types and Usage in Real-time
Visual Filter, Page Filter, Report Filter
Basic, Advanced and TOP N Filters
Category and Summary Level Filters
DrillThru Filters, Drill Thru Reports
Keep All Filters" Options in DrillThru
CrossReport Filters, Include, Exclude

Ch 10 : DAX Functions - Level 1

DAX : Importance in Real-time
Real-world usage of Excel, DAX
DAX Architecture, Entity Sets
DAX Data Types, Syntax Rules
DAX Measures and Calculations
ROW Context and Filter Context
DAX Operators, Special Characters
DAX Functions, Types in Real-time

Vertipaq Engine, DAX Cheat Sheet
Creating, Using Measures with DAX
Creating, Using Columns with DAX
Quick Measures and Summaries
Validation Errors, Runtime Errors
SUM, AVERAGEX, KEEPFILTERS
Dynamic Expressions, IF in DAX

Ch 16 : Report Server, RDL

Need for Report Server in PROD
Install, Configure Report Server
Report Server DB, Temp Database
Webservice URL, Webportal URL
Creating Hybrid Cloud with Power BI
Using Power BI DesktopRS
Uploading Interactive Reports

Report Builder For Report Server
Report Builder For Power BI Cloud
Designing Paginated Reports (RDL)
Deploy to Power BI Report Server
Data Source Connections, Report
Power BI Report Server to Cloud
Tenant IDs Generation and Use
Mobile Report Publisher, Usage

Ch 5 : Bookmarks, Azure, Modeling

Drill-thru Filters, Page Navigations
Bookmarks : Real-time Usage
Bookmarks for Visual Filters
Bookmarks for Page Navigations
Selection Pane with Bookmarks
Buttons, Images with Actions
Buttons, Actions and Text URLs
Bookmarks View & Selection Pane

OLTP Databases, Big Data Sources
Azure Database Access, Reports
Import & Direct Query with Power BI
SQL Queries and Enter Data
Data Modeling : Currency, Relations
Summary, Format, Synonyms
Web View & Mobile View in PBI

Ch 11 : DAX Functions - Level 2

Data Modeling Options in DAX
Detecting Relations for DAX
Using Calculated Columns in DAX
Using Aggregated Measures in DAX
Working with Facts & Measures
Modeling : Missing Relations
Modeling : Relation Management

CALCULATE Function Conditions
CALCULATE & ALL Member Scope
RELATED & COUNTROWS in DAX
Entity Sets and Slicing in DAX
Dynamic Expressions, RETURN
Date, Time and Text Functions
Logical, Mathematical Functions
Running Total & EARLIER Function

Ch 17: MSBI Integrations

Power BI with SQL Server Source
Power BI with SQL Data Warehouse
Power BI with SSAS OLAP Server
Power BI with Azure SQL DB Source
Power BI with Azure SQL Warehouse
Power BI with Azure Analysis Server
Power BI with SSRS (RDL) Reports

Power BI Report Builder Tool
Installation & Configuration
Paginated Reports Design, Use
Data Sources, Datasets, RDL
Report Publish (RDL) to Cloud
Report Verifications, Data Sync
Interactive Vs Paginated Reports
Creating, Managing Alerts in Cloud

Ch 6 : Visualization Properties

Stacked Charts and Clustered Charts
Line Charts, Area Charts, Bar Charts
100% Stacked Bar & Column Charts
Map Visuals: Tree, Filled, Bubble
Cards, Funnel, Table, Matrix
Scatter Chart : Play Axis, Labels
Series Clusters & Selections

Waterfall Chart and ArcGIS Maps
Infographics, Icons and Labels
Color Saturation, Sentiment Colors
Column Series, Column Axis in Lines
Join Types : Round, Bevel, Miter
Shapes, Markers, Axis, Plot Area
Display Units,Data Colors,Shapes
Series, Custom Series and Legends

Ch 12 : DAX FUNCTIONS Level 3

1:1, 1:M and M:1 Relations
Connection with CSV, MS Access
AVERAGEX and AVERAGE in DAX
KEEPFILTERS and CALCUALTE
COUNTROWS, RELATED, DIVIDE
PARALLELPERIOD, DATEDADD
CALCULATE & PREVIOUSMONTH

USERELATIONSHIP, DAX Variables
TOTALYTD , TOTALQTD
DIVIDE, CALCULATE, Conditions
IF..ELSE..THEN Statement
SELECTEDVALUE, FORMAT
SUM, DATEDIFF Examples in DAX
TODAY, DATE, DAY with DAX
Time Intelligence Functions - DAX

Ch 18 : REAL-TIME PROJECT

Project Requirement Analysis
Implementing SDLC Phases
Requirement Gathering, FSA

Phase 1:

PBIX Report Design
Visualizations, Properties
Analytics and Formating

Phase 2:

Data Modeling, Power Query
Dynamic Connections, Azure DB
Parameters and M Lang Scripts

Phase 3:

DAX Requriements, Analysis
Cloud and Report Server
Project FAQs and Solutions

Module 3: Azure Data Engineer Training Content For Plan A, B,C

Mod 1: Azure Data Factory [ADF], Synapse	Mod 2: Azure Storage & Stream Analytics	Mod 3: Azure Databricks & SparkSQL
Chapter 1: Cloud Basics, Azure SQL DB Cloud Introduction and Azure Basics Azure Implementation: IaaS, PaaS, SaaS Benefits of Azure Cloud Environment Azure Data Engineer: Job Roles Azure Storage Components Azure ETL & Streaming Components Need for Azure Data Factory (ADF) Need for Azure Synapse Analytics Azure Resources and Resource Types Resource Groups in Azure Portal Azure SQL Server [Logical Server] Firewall Rules and Azure Services Connections with SSMS & ADS Tools Working with Azure Portal Resource Group Navigations, Options	Chapter 1: Azure Storage & Containers Storage Components in Microsoft Azure Azure Storage Services and Types - Uses High Availability, Durability & Scalability Blob: Binary Large Object Storage General Purpose: Gen 1 & Gen 2 Versions Blobs, File Share, Queues and Tables Data Lake Gen 2 Operations with Azure Azure Storage Account Creation Azure Storage Container: Usage Azure Data Explorer: Operations File Uploads, Edits and Access URLs Azure Storage Explorer Tool Usage Azure Account Options in Explorer Directory Creation, File Operations End User Access Options With Files Data Explorer Vs Storage Explorer Tool	Chapter 1: Azure Intro, Azure Databricks Azure Databricks : Purpose & Config Need for Azure Databricks (ADB) Azure Databricks Service Creation Azure Databricks Workspace & Usage Spark Cluster Configurations & Capacity Driver Nodes and Worker Nodes in Spark Master Node & Cluster Creation Process Cluster Types and Capacity Options Standard, High Concurrency Clusters Databricks Runtime Service & DBUs Databricks File System (DBFS) and Usage Azure Databricks Workspace Operations ETL and Data Storage Components Spark Concepts and Spark SQL Spark Context and Spark Session DataFrame, Dataset and Real-time Use
Chapter 2: Synapse SQL Pools (DWH) Dedicated SQL Pools in Azure Enterprise Data Warehouse with Synapse DWU: Data Warehouse Units, Resources Massively Parallel Processing (MPP) Control Nodes and Compute Nodes SQL Pool Access from SSMS Tool T-SQL Queries @ SQL Pools Start/Resume/Pause, Scaling Options Creating Tables in Azure SQL Pool Compression, MAX DOP & Indexes Distributions: Round Robin, Hash Distributions: Replicate and Usage Data Imports with COPY Table Dynamic Views (DMV) with PDW Data Loads Monitoring, Resource Class	Chapter 2: Azure Migration, BLOB Imports SQL Server (On-Premise) to Azure Migration Source Database Scripts & Validations BACPAC File Generation From SSMS Tool Azure Data Lake Storage and SSMS Access Azure Storage Container, BACPAC Files Azure SQL Server Creation From Portal Azure SQL DB Imports, Storage SAS Keys Azure SQL Database Migrations, Verification BLOB Data Access from On-Premise Data Imports From Excel and CSV Files BLOB Data Imports using T-SQL Queries SAS - Shared Access Signature Generation CSV File - Uploads, Downloads, Edits, Keys Master Keys, Credentials, External Sources BULK INSERT Statement and Data Imports T-SQL Imports : Practical Limitations	Chapter 2: SQL Notebooks & Python Notebooks: Concept, Usage Options Creating SQL Notebooks in Databricks Using DBFS Tables in SQL Notebooks Data Access and Analytics Options SparkSQL Queries: SELECT, GROUP BY SparkSQL Queries: Aggregates, Conditions Notebook Operations: Download, Clone Notebook Operations: Upload, Reuse SQL Notebooks with Python Code Using DBFS Sample Data Sources (CSV) Dataframes: Creation and Real-time Use Pandas Dataframe, Virtual Table Creation Dataframe Data Access, Caching Options Take() and Display() Functions in PySpark Temporary View Creation and Access SparkSQL Queries, Analytics, Chart Reports
Chapter 3: Azure Data Factory Concepts Azure Data Factory (ADF) Concepts Hybrid Data Integration at Scale ADF Pipeline Components & Usage Configure ADF Resource in Azure Understanding ADF Portal and IR Linked Services and Connections Datasets and Tables / Files for ETL ADF Pipelines: Design, Publish & Trigger ADF Pipeline with Copy Data Tool Creating Azure Storage Account Storage Container, BLOB File Uploads Data Loads with Azure BLOB Files DIU Allocations and Concurrency Creating Linked Services, Datasets Pipeline Trigger, Author and Monitor	Chapter 3: Azure Tables, Shares Azure Tables - Real-time Usage Schema-less Design and Access Options Structured and Relational Data Storage Tables, Entities and Properties Concepts Azure Tables: Creation and Data Inserts Azure Tables in Portal - GUI and Data Types Azure Tables: Data Imports in Explorer Data Edits, Queries & Delete Operations Azure Files - SMB Protocol, Creation, Usage Shared Access, Fully Managed & Resiliency Performance, Size Requirements for Shares Azure Storage Explorer Tool for File Shares Azure Queues: Message Queues, Limitations Adding Messages, Queuing and De-Queuing Data Access & Clear Queue from Explorer End Points for Azure Message Queues	Chapter 3: Python Notebooks Azure SQL Server Configurations Azure SQL Database Creation Azure Firewall Rules and IP Address Allow Azure Services, Remote Access Connection Tests with SSMS Tool Python Notebooks with Azure Databricks Data Imports and Table Creations (Code) Parquet Files and Usage in Databricks Using Dataframes for Data Operations SparkSQL Queries with SELECT, TOP Establishing Connections to Azure SQL DB JDBC Connection Strings, DataframeWriter JDBC Properties, Port Settings & Options Data Extraction, SQLContext & Dataframes Pandas Data Frame for Big Data Analytics JDBC URL Options & PySparkSQL Modules
Chapter 4: ADF Pipelines, Polybase Copy Data Tool For ETL Operations Azure SQL DB to Synapse Data Loads Working with Multi Tables Data Loads Query Options for Source Datasets Transformations with Copy Data Tool Rename, Rearrange & Remove Options Pipeline Execution: DTU & DOCP ADF Pipeline Monitoring Options ADF Pipelines: Execution Settings ADF Logging Options, Consistency Check Compression Option, DOP and DOCP ETL Staging Advantages & Performance Staging with Storage Account, Container ADF Pipeline Triggers and Monitoring Polybase For Azure Synapse, Advantages	Chapter 4: Azure Storage Security, Admin Azure Data Lake Storage Security Options Shared Access Keys - Primary, Secondary Keys SAS Key Generation: Container, Tables, Files SAS Key Permissions, Validation Options Access Keys: Account Level Permissions Azure Active Directory (AAD): Users, Groups Azure AD Security: RBAC with IAM, ACLs Owner Role, Contributor and Reader Role Azure Data Lake Storage Security Options ACL : Access Control Lists & Security Azure BLOB Storage Containers & ACLs Folder Level and File Level Security ACL Permissions: Read, Write & Execute Access Policy: Creation and Realtime Use Permissions: rwacdl; Azure Principals, CORS Comparing IAM and ACLs in Data Lake Store	Chapter 4: Open Data Sources, DeltaLakes Creating Python Notebooks with Databricks Spark Dataframes with Azure OpenDatasets Windows Azure Storage Blob [wasb] Sources Creating Dataframes & Temporary Views Using Print and Display Functions with ADB Big Data Analysis with BLOB Data & Charts Keys, Values, Aggregations, Display Type Databricks Notebooks, Jobs and Stages Azure DeltaLake Implementation ACID Properties and Upsert Advantages Delta Engine Optimizations & Uses Pipeline Creation with JSON Files in DBFS Delta Tables Creation, Data Loads Spark Cluster Settings: Auto Optimize Auto Compact and Delta Table Optimize Delta Locations; Data Retrieval, Versions
Chapter 5: OnPremise Data with ADF On-Premise Data Sources with Azure Self Hosted Integration Runtime (IR) Access Keys, Remote Linked Services Synapse SQL Pool (DW) with OnPremise Staged Data Copy and Performance Pipeline Executions and Monitoring Pipeline RunIDs and Audits / Tracing Incompatible Rows Skips, Fault Tolerance Incremental Loads with Files (BLOB) Pipeline Executions and Schedules Regular Schedules and Tumbling Window Execution Retry and Delay Options Binary Copy, Last Modified Date in Blob Automated Loops and Trigger Schedules Incremental Loads Verification Tests	Chapter 5: Azure Monitoring, Power BI Azure Monitor, Metrics & Logs Monitoring Azure Storage Namespaces Add KQL Metrics; Account, Blob and File Total Ingress and Egress Metrics: Charts Average Latency, Transaction Count Request Breakdowns, Signal Logic Options Azure Alerts and Conditions, Notifications Signal Logic Conditions and Emails Power BI Desktop Tool Installation Binary Data and Record Data Access Azure Data Lake Storage: Access Keys Azure Data Lake Storage with Power BI BLOB File Access with Power BI Azure Tables Creation and File Imports Azure Table Access with Power BI	Chapter 5: Databricks Security & Jobs Azure Databricks Security Operations Azure Active Directory (Azure AD) AD Users and RBAC with IAM Owner, Contributor & Reader Roles Workspace Admin Permissions Notebook Permissions and Share Options Shared Notebooks, User Access Options Notebook Operations: Clone & Export Databricks Jobs: Creation Options, Usage Job Limits, Workspace, Concurrency Limits Notebooks with and without Parameters Jobs with Default Parameters, Executions Interactive, Automated Clusters for Jobs Job Schedules and Manual Executions Active Jobs, Recently Run Jobs, Monitoring ADB Jobs with Azure OData Sources, BLOB
Chapter 6: ADF Data Flow - 1 Limitations with Copy Data Tool Data Flow Task, Data Flow Activity Transformations with Data Flow Spark Cluster For Debugging Cluster Node Configurations Data Preview Options with DFT SELECT Transformation & Options JOIN Transformation and Usage Conditional Split Transformation Aggregate & Group By Transformations Synapse Sink Options with DFT DFT Optimization Techniques Pipeline Debug Runs and ETL Testing Spark Cluster For Pipeline Executions Pipeline Monitoring & Run IDs	Chapter 6: Azure Stream Analytics, IoT Azure Stream Analytics: Real-time Usage Real-time Data Processing, Event Tracking\ Ingest, Deliver and Analysis Operations Azure Stream Analytics Jobs Concept Understanding Input & Output Options SAQL Queries for Stream Analytics Jobs IoT: Internet Of Things For Real-time Data Need for IoT Hubs and Event Hubs Creating IoT Device for Data Inputs Creating Azure Strean Analytics Resource Stream Analytics Jobs for Historical Data Azure SQL Database Options for ASA Jobs SAQL: Query Formatting and Validation Historical Data Uploads, ASA Job Execution Stream Analytics Job Monitoring Options	Chapter 6: Databricks @ BLOB, Power BI BLOB Data Access with Databricks Accessing Storage Account, Container Gerate, Use SAS: Shared Access Signature dbutils.fs.mount() with DBFS Store fs.azure.sas.container.strorageaccount spark.read() and DBFS Mounts Scala Transformations, Create Temp View Spark SQL Queries with Temp Views dataframe.write.jdbc() & JVM Properties spark.read.jdbc() with Azure SQL DB Power BI Integration with Databricks Server Host Name, Port and Http Path Cluster Configurations and JDBC User Access Token Generation, Usage Spark ClusterAccess, Power BI Analytics
Chapter 7: ADF Data Flow - 2 ADF Pipelines For ETL Operations Data Flow Tasks and Activities in Synapse Pivot Transformation For Normalization Generating Pivot Column, Aggregations Pivot Transformation and Pivot Settings Pivot Key Selection, Value and Nulls Pivoted Columns and Column Pattern Column Prefix, Help Graphic & Metadata Window Functions & Usage in Data Flow Rank / DenseRank / Row Number Over Clause and Input Options Derived Column Transformations Exists & Lookup Transformations Reusing Data Flow Tasks in Synapse Pipeline Validations & Executions	Chapter 7: IoT Hubs & Event Hubs Azure Stream Analytics For API Data IoT Hubs & IoT Devices, Connection Strings Rasberry APP Connections with IoT Hub Azure Storage Account and Container Creating Azure Stream Analytics Job Configuring Input Aliases with IoT Hub Configuring Output Alias with ADLS Gen 2 SAQL Query and Job Executions; Monitoring Azure Event Hubs and Event Instances Event Hub Namespaces, Partition Counts Access Policies, Permissions & Defaults RootManageSharedAccessKey & Options Connection Strings & Event Service Bus Telco App Installation, Executions. LIVE Data On-Premise App Integration with ASA Jobs	Chapter 7: Databricks Integrations Azure Databricks with Data Lake Storage Handling Unstructured Data in Azure Data Preparation and Staging Operations Azure App (Service Principal) Registration Azure Key Vault Creation & Key Usage Service Principal Permissions @ Data Loads Tenants and Authorization Settings Client Credentials, Token Provider Options Spark Notebooks For Dynamic Connections Parameterized Options & Blob Access Data Preparation & Big Data Ingestion Data Extraction and ADLS Storage show(), transformations, wasbs Options Azure SQL Server & Synapse Creations Data Loads with Incremental Changes
Chapter 8: Azure Synapse Analytics Azure Synapse Analytics Resource Azure Synapse Analytics Workspace Managed Resource Group, SQL Account SQL Admin Account and its Purpose Operations with Synapse Workspace ADLS Gen 2 Storage Account, Container Synapse Studio (Synapse Portal) Dedicated SQL Pools & Spark Pools Creating Dedicated SQL Pools Synapse Tables, Data Loads with T-SQL COPY INTO Statements with T-SQL Clustered Column Store Indexes Row Terminator and Compressions T-SQL Queries and Aggregations Aggregation Data Loads in Synapse	Chapter 8: Azure Stream Analytics Security Azure Key Vaults & ADLS [Data Lake] Security Azure Passwords, Keys and Certificates Azure Key Vaults - Name and Vault URI Inbuilt Managed Key and Azure Key Vault Standard Type, Premium Type Azure Key Vaults Secret Page, Key Backups and Key Restores Adding Keys to Azure Vaults. Key Type, Size Using Azure Key Vaults to secure Resources Azure Storage: Replications and DR Options LRS: Locally Redundant Storage GRS: Globally Redundant Storage ZRS: Zone Redundant Storage Replication Options and Advantages Replication Verification and Modifications Azure Storage Endpoints, Failover Partner	ADF Integration, Real-time Project Azure Databricks Integrations with ADF Defining Scala Notebooks in ADB Using Notebooks in Azure Data Factory spark.conf.set & fs.azure.account.key spark.read.format, Option() and Head() Online Retail Database Data Source Azure Migrations and ETL Concepts Azure SQL Pool (Synapse DWH) Tables Apache Spark Pool : Databases, Tables Azure Data Lake Storage (ADLS Gen 2) Azure Stream Analytics Jobs with IoT Azure Data Bricks and DBFS, Notebooks Concept wise FAQs, Resume Guidance Project Requirement, Solution, FAQs DP 203 Certification Guidance
Chapter 9: Synapse Analytics with Spark Apache Spark Pool in Azure Synapse Spark Cluster Nodes: Vcores, Memory Creating Spark Clusters @ Synapse Studio Python Notebooks For Remote Access Creating Databases in Apache Spark Pool Data Loads from Dedicated SQL Pools Table Creations, Aggregation Operations PySpark Code for Data Operations, Writes Serverless Pool in Azure Synapse Connections, Usage with Serverless Pool Using Azure OpenDatasets in Synapse OPENROWSET and BULK Data Loads Azure Storage Account : Data Analysis Working with Parquet Files in Synapse Python Notebooks (Pyspark) in Synapse
Chapter 10: Incremental Loads @ Synapse Incremental Loads with Synapse Studio Multi Table Merge Operations On-Premise Data Sources & Timestamps Azure SQL DB Destinations, Watermarks Watermark Table Usage & Audits Stored Procedures for Timestamp Updates Table Data Type and Dynamic MERGE SQL Queries for Datasets and Fetch Lookup Activity and its Usage un Synapse Expressions in ADF Portal for Lookup Expressions in ADF Portal for Source Output Pipeline Expression, Data Window Concat Function, Run IDs Expressions JSON Parameters, Pipeline Scheduling Pipeline Validation, Trigger and Monitoring
Chapter 11: Optimizations, Power Query ADF ETL with GUI : Power Query Power Query Resoruce Creation, Use Source Data Configurations & Settings Rename, Remove, Pivot, Group By, Order Index, Filter, Remove Error Rows Using Power Query Activity, ADF Pipelines Spark Cluster Configurations for Pipelines Concurrency, Big Data Recommendations Storage Optimization Techniques ETL Optimization Techniques SQL Pool (Synapse) Optimizations Indexes, Partitions, Distributions, DOP Pipeline Optimization Techniques Partitions, DOCP, Compressions, DIU Staging, Polybase and Core Counts
Chapter 12: Pipeline Monitoring, Security Azure Monitor Resource and Usage Pipeline Monitoring Techniques ADF: Pipeline Monitoring and Alerts Synapse: Pipeline Monitoring and Alerts Synapse: Storage Monitoring and Alerts Conditions, Signal Rules and Metrics Email Notifications with Azure Concurrency, Big Data Recommendations Azure Active Directory (AAD) Users, Groups IAM: Identity & Access Management Synapse Workspace Security with RBAC ADF Security with RBAC: Owner, Contributor Azure Synapse SQL Pool Security: Logins Users, Roles and Resource Classes (RC) ADF V1 to V2 Migrations, Considerations

Mod 1: Azure Data Factory [ADF], Synapse

Mod 2: Azure Storage & Stream Analytics

Mod 3: Azure Databricks & SparkSQL

Chapter 1: Cloud Basics, Azure SQL DB

Cloud Introduction and Azure Basics
Azure Implementation: IaaS, PaaS, SaaS
Benefits of Azure Cloud Environment
Azure Data Engineer: Job Roles
Azure Storage Components
Azure ETL & Streaming Components
Need for Azure Data Factory (ADF)
Need for Azure Synapse Analytics

Azure Resources and Resource Types
Resource Groups in Azure Portal
Azure SQL Server [Logical Server]
Firewall Rules and Azure Services
Connections with SSMS & ADS Tools
Working with Azure Portal
Resource Group Navigations, Options

Chapter 1: Azure Storage & Containers

Storage Components in Microsoft Azure
Azure Storage Services and Types - Uses
High Availability, Durability & Scalability
Blob: Binary Large Object Storage
General Purpose: Gen 1 & Gen 2 Versions
Blobs, File Share, Queues and Tables
Data Lake Gen 2 Operations with Azure
Azure Storage Account Creation

Azure Storage Container: Usage
Azure Data Explorer: Operations
File Uploads, Edits and Access URLs
Azure Storage Explorer Tool Usage
Azure Account Options in Explorer
Directory Creation, File Operations
End User Access Options With Files
Data Explorer Vs Storage Explorer Tool

Chapter 1: Azure Intro, Azure Databricks

Azure Databricks : Purpose & Config
Need for Azure Databricks (ADB)
Azure Databricks Service Creation
Azure Databricks Workspace & Usage
Spark Cluster Configurations & Capacity
Driver Nodes and Worker Nodes in Spark
Master Node & Cluster Creation Process
Cluster Types and Capacity Options

Standard, High Concurrency Clusters
Databricks Runtime Service & DBUs
Databricks File System (DBFS) and Usage
Azure Databricks Workspace Operations
ETL and Data Storage Components
Spark Concepts and Spark SQL
Spark Context and Spark Session
DataFrame, Dataset and Real-time Use

Chapter 2: Synapse SQL Pools (DWH)

Dedicated SQL Pools in Azure
Enterprise Data Warehouse with Synapse
DWU: Data Warehouse Units, Resources
Massively Parallel Processing (MPP)
Control Nodes and Compute Nodes
SQL Pool Access from SSMS Tool
T-SQL Queries @ SQL Pools
Start/Resume/Pause, Scaling Options

Creating Tables in Azure SQL Pool
Compression, MAX DOP & Indexes
Distributions: Round Robin, Hash
Distributions: Replicate and Usage
Data Imports with COPY Table
Dynamic Views (DMV) with PDW
Data Loads Monitoring, Resource Class

Chapter 2: Azure Migration, BLOB Imports

SQL Server (On-Premise) to Azure Migration
Source Database Scripts & Validations
BACPAC File Generation From SSMS Tool
Azure Data Lake Storage and SSMS Access
Azure Storage Container, BACPAC Files
Azure SQL Server Creation From Portal
Azure SQL DB Imports, Storage SAS Keys
Azure SQL Database Migrations, Verification

BLOB Data Access from On-Premise
Data Imports From Excel and CSV Files
BLOB Data Imports using T-SQL Queries
SAS - Shared Access Signature Generation
CSV File - Uploads, Downloads, Edits, Keys
Master Keys, Credentials, External Sources
BULK INSERT Statement and Data Imports
T-SQL Imports : Practical Limitations

Chapter 2: SQL Notebooks & Python

Notebooks: Concept, Usage Options
Creating SQL Notebooks in Databricks
Using DBFS Tables in SQL Notebooks
Data Access and Analytics Options
SparkSQL Queries: SELECT, GROUP BY
SparkSQL Queries: Aggregates, Conditions
Notebook Operations: Download, Clone
Notebook Operations: Upload, Reuse

SQL Notebooks with Python Code
Using DBFS Sample Data Sources (CSV)
Dataframes: Creation and Real-time Use
Pandas Dataframe, Virtual Table Creation
Dataframe Data Access, Caching Options
Take() and Display() Functions in PySpark
Temporary View Creation and Access
SparkSQL Queries, Analytics, Chart Reports

Chapter 3: Azure Data Factory Concepts

Azure Data Factory (ADF) Concepts
Hybrid Data Integration at Scale
ADF Pipeline Components & Usage
Configure ADF Resource in Azure
Understanding ADF Portal and IR
Linked Services and Connections
Datasets and Tables / Files for ETL
ADF Pipelines: Design, Publish & Trigger

ADF Pipeline with Copy Data Tool
Creating Azure Storage Account
Storage Container, BLOB File Uploads
Data Loads with Azure BLOB Files
DIU Allocations and Concurrency
Creating Linked Services, Datasets
Pipeline Trigger, Author and Monitor

Chapter 3: Azure Tables, Shares

Azure Tables - Real-time Usage
Schema-less Design and Access Options
Structured and Relational Data Storage
Tables, Entities and Properties Concepts
Azure Tables: Creation and Data Inserts
Azure Tables in Portal - GUI and Data Types
Azure Tables: Data Imports in Explorer
Data Edits, Queries & Delete Operations

Azure Files - SMB Protocol, Creation, Usage
Shared Access, Fully Managed & Resiliency
Performance, Size Requirements for Shares
Azure Storage Explorer Tool for File Shares
Azure Queues: Message Queues, Limitations
Adding Messages, Queuing and De-Queuing
Data Access & Clear Queue from Explorer
End Points for Azure Message Queues

Chapter 3: Python Notebooks

Azure SQL Server Configurations
Azure SQL Database Creation
Azure Firewall Rules and IP Address
Allow Azure Services, Remote Access
Connection Tests with SSMS Tool
Python Notebooks with Azure Databricks
Data Imports and Table Creations (Code)
Parquet Files and Usage in Databricks

Using Dataframes for Data Operations
SparkSQL Queries with SELECT, TOP
Establishing Connections to Azure SQL DB
JDBC Connection Strings, DataframeWriter
JDBC Properties, Port Settings & Options
Data Extraction, SQLContext & Dataframes
Pandas Data Frame for Big Data Analytics
JDBC URL Options & PySparkSQL Modules

Chapter 4: ADF Pipelines, Polybase

Copy Data Tool For ETL Operations
Azure SQL DB to Synapse Data Loads
Working with Multi Tables Data Loads
Query Options for Source Datasets
Transformations with Copy Data Tool
Rename, Rearrange & Remove Options
Pipeline Execution: DTU & DOCP
ADF Pipeline Monitoring Options

ADF Pipelines: Execution Settings
ADF Logging Options, Consistency Check
Compression Option, DOP and DOCP
ETL Staging Advantages & Performance
Staging with Storage Account, Container
ADF Pipeline Triggers and Monitoring
Polybase For Azure Synapse, Advantages

Chapter 4: Azure Storage Security, Admin

Azure Data Lake Storage Security Options
Shared Access Keys - Primary, Secondary Keys
SAS Key Generation: Container, Tables, Files
SAS Key Permissions, Validation Options
Access Keys: Account Level Permissions
Azure Active Directory (AAD): Users, Groups
Azure AD Security: RBAC with IAM, ACLs
Owner Role, Contributor and Reader Role

Azure Data Lake Storage Security Options
ACL : Access Control Lists & Security
Azure BLOB Storage Containers & ACLs
Folder Level and File Level Security
ACL Permissions: Read, Write & Execute
Access Policy: Creation and Realtime Use
Permissions: rwacdl; Azure Principals, CORS
Comparing IAM and ACLs in Data Lake Store

Chapter 4: Open Data Sources, DeltaLakes

Creating Python Notebooks with Databricks
Spark Dataframes with Azure OpenDatasets
Windows Azure Storage Blob [wasb] Sources
Creating Dataframes & Temporary Views
Using Print and Display Functions with ADB
Big Data Analysis with BLOB Data & Charts
Keys, Values, Aggregations, Display Type
Databricks Notebooks, Jobs and Stages

Azure DeltaLake Implementation
ACID Properties and Upsert Advantages
Delta Engine Optimizations & Uses
Pipeline Creation with JSON Files in DBFS
Delta Tables Creation, Data Loads
Spark Cluster Settings: Auto Optimize
Auto Compact and Delta Table Optimize
Delta Locations; Data Retrieval, Versions

Chapter 5: OnPremise Data with ADF

On-Premise Data Sources with Azure
Self Hosted Integration Runtime (IR)
Access Keys, Remote Linked Services
Synapse SQL Pool (DW) with OnPremise
Staged Data Copy and Performance
Pipeline Executions and Monitoring
Pipeline RunIDs and Audits / Tracing
Incompatible Rows Skips, Fault Tolerance

Incremental Loads with Files (BLOB)
Pipeline Executions and Schedules
Regular Schedules and Tumbling Window
Execution Retry and Delay Options
Binary Copy, Last Modified Date in Blob
Automated Loops and Trigger Schedules
Incremental Loads Verification Tests

Chapter 5: Azure Monitoring, Power BI

Azure Monitor, Metrics & Logs
Monitoring Azure Storage Namespaces
Add KQL Metrics; Account, Blob and File
Total Ingress and Egress Metrics: Charts
Average Latency, Transaction Count
Request Breakdowns, Signal Logic Options
Azure Alerts and Conditions, Notifications
Signal Logic Conditions and Emails

Power BI Desktop Tool Installation
Binary Data and Record Data Access
Azure Data Lake Storage: Access Keys
Azure Data Lake Storage with Power BI
BLOB File Access with Power BI
Azure Tables Creation and File Imports
Azure Table Access with Power BI

Chapter 5: Databricks Security & Jobs

Azure Databricks Security Operations
Azure Active Directory (Azure AD)
AD Users and RBAC with IAM
Owner, Contributor & Reader Roles
Workspace Admin Permissions
Notebook Permissions and Share Options
Shared Notebooks, User Access Options
Notebook Operations: Clone & Export

Databricks Jobs: Creation Options, Usage
Job Limits, Workspace, Concurrency Limits
Notebooks with and without Parameters
Jobs with Default Parameters, Executions
Interactive, Automated Clusters for Jobs
Job Schedules and Manual Executions
Active Jobs, Recently Run Jobs, Monitoring
ADB Jobs with Azure OData Sources, BLOB

Chapter 6: ADF Data Flow - 1

Limitations with Copy Data Tool
Data Flow Task, Data Flow Activity
Transformations with Data Flow
Spark Cluster For Debugging
Cluster Node Configurations
Data Preview Options with DFT
SELECT Transformation & Options
JOIN Transformation and Usage

Conditional Split Transformation
Aggregate & Group By Transformations
Synapse Sink Options with DFT
DFT Optimization Techniques
Pipeline Debug Runs and ETL Testing
Spark Cluster For Pipeline Executions
Pipeline Monitoring & Run IDs

Chapter 6: Azure Stream Analytics, IoT

Azure Stream Analytics: Real-time Usage
Real-time Data Processing, Event Tracking\
Ingest, Deliver and Analysis Operations
Azure Stream Analytics Jobs Concept
Understanding Input & Output Options
SAQL Queries for Stream Analytics Jobs
IoT: Internet Of Things For Real-time Data
Need for IoT Hubs and Event Hubs

Creating IoT Device for Data Inputs
Creating Azure Strean Analytics Resource
Stream Analytics Jobs for Historical Data
Azure SQL Database Options for ASA Jobs
SAQL: Query Formatting and Validation
Historical Data Uploads, ASA Job Execution
Stream Analytics Job Monitoring Options

Chapter 6: Databricks @ BLOB, Power BI

BLOB Data Access with Databricks
Accessing Storage Account, Container
Gerate, Use SAS: Shared Access Signature
dbutils.fs.mount() with DBFS Store
fs.azure.sas.container.strorageaccount
spark.read() and DBFS Mounts
Scala Transformations, Create Temp View
Spark SQL Queries with Temp Views

dataframe.write.jdbc() & JVM Properties
spark.read.jdbc() with Azure SQL DB
Power BI Integration with Databricks
Server Host Name, Port and Http Path
Cluster Configurations and JDBC
User Access Token Generation, Usage
Spark ClusterAccess, Power BI Analytics

Chapter 7: ADF Data Flow - 2

ADF Pipelines For ETL Operations
Data Flow Tasks and Activities in Synapse
Pivot Transformation For Normalization
Generating Pivot Column, Aggregations
Pivot Transformation and Pivot Settings
Pivot Key Selection, Value and Nulls
Pivoted Columns and Column Pattern
Column Prefix, Help Graphic & Metadata

Window Functions & Usage in Data Flow
Rank / DenseRank / Row Number
Over Clause and Input Options
Derived Column Transformations
Exists & Lookup Transformations
Reusing Data Flow Tasks in Synapse
Pipeline Validations & Executions

Chapter 7: IoT Hubs & Event Hubs

Azure Stream Analytics For API Data
IoT Hubs & IoT Devices, Connection Strings
Rasberry APP Connections with IoT Hub
Azure Storage Account and Container
Creating Azure Stream Analytics Job
Configuring Input Aliases with IoT Hub
Configuring Output Alias with ADLS Gen 2
SAQL Query and Job Executions; Monitoring

Azure Event Hubs and Event Instances
Event Hub Namespaces, Partition Counts
Access Policies, Permissions & Defaults
RootManageSharedAccessKey & Options
Connection Strings & Event Service Bus
Telco App Installation, Executions. LIVE Data
On-Premise App Integration with ASA Jobs

Chapter 7: Databricks Integrations

Azure Databricks with Data Lake Storage
Handling Unstructured Data in Azure
Data Preparation and Staging Operations
Azure App (Service Principal) Registration
Azure Key Vault Creation & Key Usage
Service Principal Permissions @ Data Loads
Tenants and Authorization Settings
Client Credentials, Token Provider Options

Spark Notebooks For Dynamic Connections
Parameterized Options & Blob Access
Data Preparation & Big Data Ingestion
Data Extraction and ADLS Storage
show(), transformations, wasbs Options
Azure SQL Server & Synapse Creations
Data Loads with Incremental Changes

Chapter 8: Azure Synapse Analytics

Azure Synapse Analytics Resource
Azure Synapse Analytics Workspace
Managed Resource Group, SQL Account
SQL Admin Account and its Purpose
Operations with Synapse Workspace
ADLS Gen 2 Storage Account, Container
Synapse Studio (Synapse Portal)
Dedicated SQL Pools & Spark Pools

Creating Dedicated SQL Pools
Synapse Tables, Data Loads with T-SQL
COPY INTO Statements with T-SQL
Clustered Column Store Indexes
Row Terminator and Compressions
T-SQL Queries and Aggregations
Aggregation Data Loads in Synapse

Chapter 8: Azure Stream Analytics Security

Azure Key Vaults & ADLS [Data Lake] Security
Azure Passwords, Keys and Certificates
Azure Key Vaults - Name and Vault URI
Inbuilt Managed Key and Azure Key Vault
Standard Type, Premium Type Azure Key Vaults
Secret Page, Key Backups and Key Restores
Adding Keys to Azure Vaults. Key Type, Size
Using Azure Key Vaults to secure Resources

Azure Storage: Replications and DR Options
LRS: Locally Redundant Storage
GRS: Globally Redundant Storage
ZRS: Zone Redundant Storage
Replication Options and Advantages
Replication Verification and Modifications
Azure Storage Endpoints, Failover Partner

ADF Integration, Real-time Project
Azure Databricks Integrations with ADF
Defining Scala Notebooks in ADB
Using Notebooks in Azure Data Factory
spark.conf.set & fs.azure.account.key
spark.read.format, Option() and Head()
Online Retail Database Data Source
Azure Migrations and ETL Concepts
Azure SQL Pool (Synapse DWH) Tables

Apache Spark Pool : Databases, Tables
Azure Data Lake Storage (ADLS Gen 2)
Azure Stream Analytics Jobs with IoT
Azure Data Bricks and DBFS, Notebooks
Concept wise FAQs, Resume Guidance
Project Requirement, Solution, FAQs
DP 203 Certification Guidance

Chapter 9: Synapse Analytics with Spark

Apache Spark Pool in Azure Synapse
Spark Cluster Nodes: Vcores, Memory
Creating Spark Clusters @ Synapse Studio
Python Notebooks For Remote Access
Creating Databases in Apache Spark Pool
Data Loads from Dedicated SQL Pools
Table Creations, Aggregation Operations
PySpark Code for Data Operations, Writes

Serverless Pool in Azure Synapse
Connections, Usage with Serverless Pool
Using Azure OpenDatasets in Synapse
OPENROWSET and BULK Data Loads
Azure Storage Account : Data Analysis
Working with Parquet Files in Synapse
Python Notebooks (Pyspark) in Synapse

Chapter 10: Incremental Loads @ Synapse

Incremental Loads with Synapse Studio
Multi Table Merge Operations
On-Premise Data Sources & Timestamps
Azure SQL DB Destinations, Watermarks
Watermark Table Usage & Audits
Stored Procedures for Timestamp Updates
Table Data Type and Dynamic MERGE
SQL Queries for Datasets and Fetch

Lookup Activity and its Usage un Synapse
Expressions in ADF Portal for Lookup
Expressions in ADF Portal for Source
Output Pipeline Expression, Data Window
Concat Function, Run IDs Expressions
JSON Parameters, Pipeline Scheduling
Pipeline Validation, Trigger and Monitoring

Chapter 11: Optimizations, Power Query

ADF ETL with GUI : Power Query
Power Query Resoruce Creation, Use
Source Data Configurations & Settings
Rename, Remove, Pivot, Group By, Order
Index, Filter, Remove Error Rows
Using Power Query Activity, ADF Pipelines
Spark Cluster Configurations for Pipelines
Concurrency, Big Data Recommendations

Storage Optimization Techniques
ETL Optimization Techniques
SQL Pool (Synapse) Optimizations
Indexes, Partitions, Distributions, DOP
Pipeline Optimization Techniques
Partitions, DOCP, Compressions, DIU
Staging, Polybase and Core Counts

Chapter 12: Pipeline Monitoring, Security

Azure Monitor Resource and Usage
Pipeline Monitoring Techniques
ADF: Pipeline Monitoring and Alerts
Synapse: Pipeline Monitoring and Alerts
Synapse: Storage Monitoring and Alerts
Conditions, Signal Rules and Metrics
Email Notifications with Azure
Concurrency, Big Data Recommendations

Azure Active Directory (AAD) Users, Groups
IAM: Identity & Access Management
Synapse Workspace Security with RBAC
ADF Security with RBAC: Owner, Contributor
Azure Synapse SQL Pool Security: Logins
Users, Roles and Resource Classes (RC)
ADF V1 to V2 Migrations, Considerations

Module 4: Python For Plan A, B

Part 1: Python Fundamentals	Part 2: Python For Data Analytics - 1	Part 3: Python For Data Analytics - 2
Ch 1: Data Analytics Intro & Python Data and Databases : Introductions Data Analytics Job Role Python : Introduction & Advantages Python : Career Options, Scope Python for Big Data Analytics Why Python? Usage Options Python Installation : Multi OS Anaconda Software Installation Jupyter Interface for Python Python Activities with Jupyter Notebooks : Python Web Interface Notebooks and Cells: Introduction	Ch 7: Python Functions Python Functions : Realtime Use Function : Creation, Execution Call Function Parameters, Arguments Arguments Number, Arg keyword Arbitrary Keyword & **kwargss Default & List Value Parameters Python Lambda Functions Using Lamdba Options in Python Anonymous Functions in Python Arguments, Expressions Recursive Functions, Usage Return & Print with Lamdba	Ch 13: Data Analytics - Pandas Python Modules & Pandas Why Use Pandas? Pandas Codebase & Usage Installation of Pandas import & pandas.DataFrame Checking Pandas Version Pandas Series one-dimensional array Labels : Creation, Use series(), print() Pandas DataFrames Dataframes & Series
Ch 2: Basic Operations with Python Python Interface : Creating Notebook Adding Cells, Saving Notebook Executing Basic Cells; Result Window Single Line & Multi Line Comments Save, Open / Clone Notebooks Indentation Options with Python Python : Internal Architecture Code Editor, Source Files Compiler, Byte Code, Virtual Machine Program Execution : Py, PYC and PVM Python Libraries / Modules Compiler Versus Interpreter	Ch 8: Python Classes & Arrays Python Classes & Objects Python Classes : Usage __init__() Function __str__() Function Self Parameters & Usage Object Properties Options Python Inheritance & Classes Adding Parent & Child Classes Add __init__() Function Using super() Function Add Properties, Methods Polymorphism in Python	Ch 14: Data Analytics - DataFrames Pandas DataFrames in Python DataFrame() & Realtime Usage Indexes & Named Options Locate Row and Load Rows Row Index & Index Lists Load Files Into a DataFrame Pandas Read CSV pd.read_csv() Function pd.options.display.max_rows df.to_string() Function Dictionary as JSON tail() & null() Function
Ch 3: Data Types & Variables Integer / Int Data Types Float & String Data Types Boolean Data Types, Binary Types Sequence Types: List, Tuple Range, Complex & memoryview Retrieving Data Type: type() Python Variables: Naming Camel / Pascal / Snake Case Multi Assignments & Casting Multi Word Variables, PRINT Multiple Variables and Vales Unpack Collection, Outputs	Ch 9: Python Modules Python Modules : Creation Import Python Modules Using Variables in Modules Naming, Renaming Module Built In Modules & dir Using Modules, Properties datetime module in Python Date Objections, strftime Method import datetime, datetime.now() Using Python Constructors Conditional Columns, Expressions Disable / Enable Data Loads	Ch 15: Data Analytics - Pandas Pandas - Cleaning Data Removing Rows, Data Cleansing Replace, Transform Columns Data Discovery & Column Fill Identify & Remove Duplicates dropna(), fillna() Functions Pandas - Data Correlations Data Relations and Validations Good & Bad Correlation Perfect Correlation Scenarios Python Data Plotting Options matlib Module & Plotting
Ch 4: Python Operators, Conditions Python Operators : Arithmetic Assignment, Compare Operators Logical, Identity Operators Member & Bitwise Operators Operator Precedence Options Python Operator Expressions Python If ... Else Statement Short Hand If Statement, Use OR, AND and NOT Statements Pass Statement with Python ELIF and ELSE IF Statements Ternary Operators in Python	Ch 10: Python JSON & RegEx Python JSON Concepts, Usage Python Dictionary & import json Convert from Python to JSON Python Objects into JSON strings Result Formatting & Ordering json.dumps, print options Python Regular Expressions RegEx Module in Python RegEx Functions : findall search() Function & split span() function & Usage Using RegEx with JSON	Ch 16: SQL Server with Python - 1 Installing SQL Server DB Engine Install Machine Learning Services SQL Server Management Studio Install Azure Data Studio Tool sp_execute_external_script Input Data & Result Sets DDL & DML with Python SQL_out, SQL_in with Python Variables & Parameters in Python Python Version, Package List Script Parameters & Usage WITH RESULT SETS Options
Ch 5: Python Loops, Iterations Python Loop & Realtime Use Python While Loop Statement Break and Continue Statement Using Print with While() Iterations & Conditions Exit Conditions : Cautions Python For Loop Statement Break, Continue & Range Python Iterators : Creation __iter__() and __next__() Iterator vs Iterable iter() and Looping Options	Ch 11: Python User Inputs & TRY Python Try Except Python Exception Handling NameError Resolution Python Finally Block, Usage Raise an exception method TypeError, Scripting in Python Python User Inputs Python String Formatting Multiple Values & String Python Index Numbers Named Indexes, Usage input() & raw_input()	Ch 17: SQL Server with Python - 2 Using pandas.Series with SQL Server Indexing Methods and Realtime Use Convert series to data frame DataFrames with SQL Server Output values into data.frame Output Datasets and Usage pymssql package in SQL Server pip list & Package Manager Python runtime, Py Package Index pymssql.connect & Usage Query Execution & Result Cursor Variables & Usage
Ch 6: Python Collections Python Collections (Arrays) Python Collection Data Types List, Tuple, Set, Dictionary List Items, Ordered & Length list() Constructor, print() Python Tuples, Tuple Items tuple() Constructor, Usage Python Sets : Syntax Rules Duplicates, Types, Ordered Python Dictionaries: Usage Changeable, Ordered Data Dictionary Construct, type()	Ch 12: Python File Handling File Handling r, a, w, x modes t, b Operations File Activities Read Only Parts Loop, Close Files Python File Write Appending, Overwriting Create a New File import os, path.exists f.open, f.write f.read, f.close	Ch 18: Power BI with Python Installing Power BI Desktop Using Python Script Visual PyScript Options & Tuning Settings, Labelling Options Running and Testing Scripts Data Validations in Power BI Power BI Cloud : ipynb Scripts Python in Desktop Vs Cloud Interactive Reports with Python Power Query Options (M Lang) Data Formatting with Python Integrate SQL, Power BI, Python

Part 1: Python Fundamentals

Part 2: Python For Data Analytics - 1

Part 3: Python For Data Analytics - 2

Ch 1: Data Analytics Intro & Python

Data and Databases : Introductions
Data Analytics Job Role
Python : Introduction & Advantages
Python : Career Options, Scope
Python for Big Data Analytics
Why Python? Usage Options

Python Installation : Multi OS
Anaconda Software Installation
Jupyter Interface for Python
Python Activities with Jupyter
Notebooks : Python Web Interface
Notebooks and Cells: Introduction

Ch 7: Python Functions

Python Functions : Realtime Use
Function : Creation, Execution Call
Function Parameters, Arguments
Arguments Number, Arg keyword
Arbitrary Keyword & **kwargss
Default & List Value Parameters

Python Lambda Functions
Using Lamdba Options in Python
Anonymous Functions in Python
Arguments, Expressions
Recursive Functions, Usage
Return & Print with Lamdba

Ch 13: Data Analytics - Pandas

Python Modules & Pandas
Why Use Pandas?
Pandas Codebase & Usage
Installation of Pandas
import & pandas.DataFrame
Checking Pandas Version

Pandas Series
one-dimensional array
Labels : Creation, Use
series(), print()
Pandas DataFrames
Dataframes & Series

Ch 2: Basic Operations with Python

Python Interface : Creating Notebook
Adding Cells, Saving Notebook
Executing Basic Cells; Result Window
Single Line & Multi Line Comments
Save, Open / Clone Notebooks
Indentation Options with Python

Python : Internal Architecture
Code Editor, Source Files
Compiler, Byte Code, Virtual Machine
Program Execution : Py, PYC and PVM
Python Libraries / Modules
Compiler Versus Interpreter

Ch 8: Python Classes & Arrays

Python Classes & Objects
Python Classes : Usage
__init__() Function
__str__() Function
Self Parameters & Usage
Object Properties Options

Python Inheritance & Classes
Adding Parent & Child Classes
Add __init__() Function
Using super() Function
Add Properties, Methods
Polymorphism in Python

Ch 14: Data Analytics - DataFrames

Pandas DataFrames in Python
DataFrame() & Realtime Usage
Indexes & Named Options
Locate Row and Load Rows
Row Index & Index Lists
Load Files Into a DataFrame

Pandas Read CSV
pd.read_csv() Function
pd.options.display.max_rows
df.to_string() Function
Dictionary as JSON
tail() & null() Function

Ch 3: Data Types & Variables

Integer / Int Data Types
Float & String Data Types
Boolean Data Types, Binary Types
Sequence Types: List, Tuple
Range, Complex & memoryview
Retrieving Data Type: type()

Python Variables: Naming
Camel / Pascal / Snake Case
Multi Assignments & Casting
Multi Word Variables, PRINT
Multiple Variables and Vales
Unpack Collection, Outputs

Ch 9: Python Modules

Python Modules : Creation
Import Python Modules
Using Variables in Modules
Naming, Renaming Module
Built In Modules & dir
Using Modules, Properties

datetime module in Python
Date Objections, strftime Method
import datetime, datetime.now()
Using Python Constructors
Conditional Columns, Expressions
Disable / Enable Data Loads

Ch 15: Data Analytics - Pandas

Pandas - Cleaning Data
Removing Rows, Data Cleansing
Replace, Transform Columns
Data Discovery & Column Fill
Identify & Remove Duplicates
dropna(), fillna() Functions

Pandas - Data Correlations
Data Relations and Validations
Good & Bad Correlation
Perfect Correlation Scenarios
Python Data Plotting Options
matlib Module & Plotting

Ch 4: Python Operators, Conditions

Python Operators : Arithmetic
Assignment, Compare Operators
Logical, Identity Operators
Member & Bitwise Operators
Operator Precedence Options
Python Operator Expressions

Python If ... Else Statement
Short Hand If Statement, Use
OR, AND and NOT Statements
Pass Statement with Python
ELIF and ELSE IF Statements
Ternary Operators in Python

Ch 10: Python JSON & RegEx

Python JSON Concepts, Usage
Python Dictionary & import json
Convert from Python to JSON
Python Objects into JSON strings
Result Formatting & Ordering
json.dumps, print options

Python Regular Expressions
RegEx Module in Python
RegEx Functions : findall
search() Function & split
span() function & Usage
Using RegEx with JSON

Ch 16: SQL Server with Python - 1

Installing SQL Server DB Engine
Install Machine Learning Services
SQL Server Management Studio
Install Azure Data Studio Tool
sp_execute_external_script
Input Data & Result Sets

DDL & DML with Python
SQL_out, SQL_in with Python
Variables & Parameters in Python
Python Version, Package List
Script Parameters & Usage
WITH RESULT SETS Options

Ch 5: Python Loops, Iterations

Python Loop & Realtime Use
Python While Loop Statement
Break and Continue Statement
Using Print with While()
Iterations & Conditions
Exit Conditions : Cautions

Python For Loop Statement
Break, Continue & Range
Python Iterators : Creation
__iter__() and __next__()
Iterator vs Iterable
iter() and Looping Options

Ch 11: Python User Inputs & TRY

Python Try Except
Python Exception Handling
NameError Resolution
Python Finally Block, Usage
Raise an exception method
TypeError, Scripting in Python

Python User Inputs
Python String Formatting
Multiple Values & String
Python Index Numbers
Named Indexes, Usage
input() & raw_input()

Ch 17: SQL Server with Python - 2

Using pandas.Series with SQL Server
Indexing Methods and Realtime Use
Convert series to data frame
DataFrames with SQL Server
Output values into data.frame
Output Datasets and Usage

pymssql package in SQL Server
pip list & Package Manager
Python runtime, Py Package Index
pymssql.connect & Usage
Query Execution & Result
Cursor Variables & Usage

Ch 6: Python Collections

Python Collections (Arrays)
Python Collection Data Types
List, Tuple, Set, Dictionary
List Items, Ordered & Length
list() Constructor, print()
Python Tuples, Tuple Items

tuple() Constructor, Usage
Python Sets : Syntax Rules
Duplicates, Types, Ordered
Python Dictionaries: Usage
Changeable, Ordered Data
Dictionary Construct, type()

Ch 12: Python File Handling

File Handling
r, a, w, x modes
t, b Operations
File Activities
Read Only Parts
Loop, Close Files

Python File Write
Appending, Overwriting
Create a New File
import os, path.exists
f.open, f.write
f.read, f.close

Ch 18: Power BI with Python

Installing Power BI Desktop
Using Python Script Visual
PyScript Options & Tuning
Settings, Labelling Options
Running and Testing Scripts
Data Validations in Power BI

Power BI Cloud : ipynb Scripts
Python in Desktop Vs Cloud
Interactive Reports with Python
Power Query Options (M Lang)
Data Formatting with Python
Integrate SQL, Power BI, Python

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