Power BI Embedded LIVE Online Training

Complete Practical and Real-time Training on Power BI Embedded. Power BI Embedded simplifies Power BI capabilities by helping you to quickly add stunning visuals, reports, and dashboards to your apps. Similar to the way apps built on Microsoft Azure use services like Machine Learning and IoT. By enabling easy-to-navigate data exploration in their apps, ISVs allow their customers to make quick, informed decisions in context.

Power BI Embedded Training Plans

  PLAN A PLAN B PLAN C
  Power BI
Embedded
Power BI,
PowerBI Embedded
Azure BI
Total Duration 1 Week 5 Weeks 18 Weeks
Practical Training
Power BI Embedded Dashboards
Power BI Embedded API's
Power B: Report Design, Visuals
Power BI: M Lang, DX for ETL
Power BI: Report Server, Admin
Azure BI: MSBI - IS
Azure BI: MSBI - AS
Azure BI: MSBI - RS
Azure BI: ADF & Synapse
Azure BI: Cosmos DB
Azure BI: Azure Databricks
Azure BI: Azure Storage
Azure BI: Azure SSIS
Azure BI: Azure SSAS
Total Course Fee * INR 7000
USD 95
INR 15000
USD 203
INR 59000
USD 798

Trainer: Mr. Sai Phanindra T

S. No Timings (IST) Start Date  
Schedules for Power BI Embedded
1 6 AM - 8 AM (w) Oct 3rd Register
2 8 PM - 10 PM (W) Oct 17th Register

If above schedule does not work, opt for Power BI Training Videos

Power BI Embedded Training Highlights :

✔ Azure Fundamentals, Cloud Implementations
✔ SaaS, IaaS & PaaS Implementation Concepts
✔ Azure Kubernetes Services (AKS) Concepts
✔ Azure Active Directory and Security Concepts
✔ Public Cloud and Private Cloud Concepts
✔ Azure Governance Methodologies
✔✔ End to End Real-time Project @ Resume

All Session Are Completely Practical & Real Time

 

Course Contents:

SQL Server Integration Services (SSIS)

SQL Server Analysis Services (SSAS)

SQL Server Reporting Services (SSRS)

Ch 1: SSIS INTRO, INSTALLATION

  • Integration Services (SSIS) & ETL / DWH
  • SSIS for Data Loads, ETL, Warehouse
  • SSDT : SQL Server Data Tools
  • SSIS Development, LIVE (Deployment)
  • Data Warehouse Design & ETL Process
  • DWH and ETL Structures Implementation
  • SSIS ETL for Data Reads, Data Cleansing
  • Data Warehouse (DWH) Design Principles
  • SSIS 2019, 2017 : SSIS DB Installations
  • SSIS Database, Catalog Folders, Storage
  • SSIS Catalog Database (SSIS DB) Creation
  • SQL Server Data Tools - SSDT / Visual Studio
  • SSDT Installation and Catalog Verification
  • SSIS, ETL, DWH, Data Flow, Data Buffer
  • SSIS Package Environment, SSDT Projects
  • SSIS & ETL Training - Lab Plan, Resources

Ch 1: SSAS INTRO, CONFIGURATION

  • Installation, Configuration of SSAS
  • SSAS Component & - Operational Modes
  • Multidimensional Mode : Properties, Usage
  • Tabular Mode Purpose : Properties (ROLAP)
  • PowerPivot Mode & Usage (Overview)
  • Multidimensional Mode Instance Verification
  • SSAS and SQL Browser Service Accounts
  • SQL Server Data Tools / Visual Studio
  • Developer Environment (SSDT) Interface
  • SSAS Training Lab Plan, Resources
  • OLAP Databases, Cubes For Analysis
  • MDX: Multidimensional Expression Language
  • DAX: Data Analysis Expression Language
  • SSAS Architecture : XMLA and DMX
  • SSAS Workflow and Sources in Real-world
  • Data Source Configuration, DB Installations

Ch 1: SSRS INTRO, INSTALLATION

  • Reporting Operations and Report Types
  • Paginated Reports, Interactive Reports
  • Analytical Reports & Mobile Reports
  • Reporting Solutions (SSRS) and Tools
  • Report Engine Architecture, Databases
  • SSRS Report Server Installation
  • Report Databases in SSRS and Usage
  • Web Service URL : Connections, Usage
  • Web Portal URL : Connections, Usage
  • ReportServerDB, TempDB Configuration
  • SQL Server Data Tools (SSDT)
  • Report Builder, Mobile Report Publisher
  • Report Design : Lab Plan, Data Sources
  • 3-Phase Report Life Cycle (End-End)
  • Report Builder Versus Report Designer
  • Report Server, Web Service Integration

Ch 2: SSIS ETL PACKAGES: BASICS

  • Control Flow Tasks Architecture, Purpose
  • Data Flow Tasks Architecture, Purpose
  • SSIS Packages @ Basic Data Flow, ETL
  • SSIS Projects and Package Creation
  • Data Pipelines in Data Flow Tasks
  • SSIS Packages Execution Process
  • Data Flow Objects, OLE DB Connections
  • SSIS Package Creation - Control Flow
  • DTSX Files for Package Execution
  • SSIS Execution, Package Errors & Logs
  • SSIS Transformation: Conditional Split
  • Excel Connection and Memory Reference
  • Source and Destination Assistants
  • DAT File Imports and Annotations
  • SSIS Project Configurations, Debugging
  • SSIS 64 Bit, 32 Bit Configurations

Ch 2: CUBE DESIGN WITH SSAS, EXCEL

  • Cube Design with SQL Server Data Tools
  • OLAP Data Source, Data Source View
  • Measure Groups, Measures, Members
  • Identifying Dimensions and Attributes
  • Cube Design : Cube Wizard, Dimensions
  • Add Attributes. Deployment, Cube Access
  • OLAP Cube Process. Online Deployment
  • Cube Browsing using SSMS, SSDT Tools
  • Excel Connections for SSAS Cubes
  • OLAP Cube Access, Pivot Charts
  • Excel Pivot Tables, Chart Report Design
  • Piechart Reports & Attribute Filters
  • Common Deployment Errors : Solutions
  • OLAP Server Impersonation - Settings
  • OLAP Deployment Warnings, Solutions
  • End to End Implementation of SSAS

Ch 2: BASIC REPORT DESIGN

  • Working with SQL Server Data Tools
  • Report Templates and Project, Solution
  • Basic Reports - Understanding Entities
  • Report Project Wizard Usage, Reports
  • Data Source Connections and Databases
  • Query Designer, Query Builder, Imports
  • Table, Matrix Reports with Report Wizard
  • Layout, Format - Drilldown Reports, Blocks
  • Stepped Reports, Multi Field Drilldowns
  • Report Template - Datasets & Reports
  • Table Headers & Formatting Expressions
  • Alternate Row Colors, Global Expressions
  • Formatting Styles, Expressions, Reusability
  • Expressions: IIF,Format,Ceiling,Round
  • Textbox Properties: Date Format, Numbers
  • Report Sources, Static/Dynamic Properties

Ch 3: MERGE & FUZZY LOOKUP

  • MERGE and UNION ALL Transformations
  • SORT, NOSORT and Advanced Sort
  • Synchronous, Asynchronous Tfns
  • Row, Partial Blocking Transformations
  • Fully Blocking Transformations - Buffers
  • Avoiding Fully Blocking Transformation
  • Bulk Load Operations, SSIS Data Imports
  • IsSorted & SortKey Position Options
  • SSIS Package Performance & Resources
  • Data Conversion Expressions
  • Fuzzy Lookup Transformation, References
  • Nomatch Cleansing @ Conditional Split
  • Index Creations, Lookup Transformation
  • Data Conversion, Derived Columns
  • Varchar, Nvarchar, Error Redirections
  • Threshold Values, Search Delimiters
  • _Similarity, _Confidence Columns

Ch 3: HIERARCHIES, MDX - LEVEL 1

  • Data Source Views Named Calculations
  • Named Querie, Dimension Attributes
  • Explore Data with Data Source View
  • Dimension Types : Dimension, Entity Level
  • Cube Dimension on Entity Relations
  • Hierarchies in Multidimensional Cube
  • Grouping Attributes in Dimensions
  • Testing Hierarchies : SSMS Cube Browser
  • Testing Hierarchies : SSDT Cube Browser
  • Multidimensional Expression Language
  • MDX Queries Syntax, MDX Expressions
  • MDX Axis Models. Cube into Rows
  • Advantages of MDX: Reports
  • MDX Queries with Attributes, Members
  • MDX Queries on Hierarchies, Keys
  • Members, Children, All Members
  • SELECT in MDX with CROSSJOIN

Ch 3: GROUPING, REPORT PARAMETERS

  • Grouping : Row Groups, Column Groups
  • Row Groups, Parent - Child Groups
  • Adding Groups to Existing & New Rows
  • Group Headers & Footers, Sub Totals
  • Field Visibility, Toggle with Parent
  • Row Group, Header/Footer Properties
  • Column Groups for Table Report, Options
  • Drill-down Report, Row Groups, Visibility
  • Column Group Advance Mode. Fixed Values
  • Repeating Column Headers on Every Page
  • Creating Parameters, Dataset Conditions
  • Single Value and Multi Value Parameters
  • Dynamic Parameters, Dependency Queries
  • SSRS Parameters with Dynamic Conditions
  • Dataset Links to Parameters, List Values
  • SSRS Expressions, Global Fields, Values
  • Advanced Options : Auto / Manual Refresh

Ch 4: SSIS CHECKPOINT & PIVOT

  • Execute SQL Task and OLE DB Queries
  • Transaction Options For SSIS Executables
  • Precedence - Success/Failure/Completion
  • SSIS Package Rollbacks Execution Options
  • Checkpoints Purpose with Data Flow Tasks
  • Checkpoint Files and SSIS Logging Tasks
  • Transactions with Checkpoint File in SSIS
  • Checkpoint Option Advantages, Limitations
  • FailPackageOnFailure, Checkpoint Property
  • REQUIRED/SUPPORT/ NOTSUPPORTED
  • Transaction Property, CHECKPOINT Files
  • Legacy Data, Data Cleansing, Formatting
  • Denormalization, Keys. Need for OLTP
  • PIVOT Transformation, Connection Assistant
  • Pivot Usage - Implementation. Key Values
  • Lineage ID - Purpose. Data Mappings
  • Lineage IDs for Column Mapping, Pivot Keys
  • SSIS Input Columns and Mappings
  • Data Viewer : Data Transfer Verification
  • Data Type Conversions, Error Redirection

Ch 4: CALCULATIONS, MDX - LEVEL 2

  • MDX Queries with WHERE, Except, Range
  • NonEmpty Function, Multi-Member Values
  • Parent, Children with MDX Hierarchies
  • ORDER Function in MDX, Binary Sorts
  • TOPCOUNT / HEAD, BOTTOMCOUNT
  • CURRENT MEMBER, EMPTY MEMBER
  • Filter Expressions with AND / OR
  • Filter with and LEFT / RIGHT Range
  • MDX Query Batches - GO Statement
  • Limitations @ WHERE, Tuple Inverse
  • ADOMD Client : MDX Query Processing
  • MDX Calculations - Creation and Scope
  • Calculations with MDX : Measure Level
  • Calculations with MDX : Attribute Level
  • Time Calculations with MDX Scripts
  • TIME DIMENSIONS - Purpose, Advantages
  • Time Attributes - Calendar / Fiscal
  • BI Enhancements : Advantage, Usage Scope
  • Time Enhancement Attributes, Hierarchies
  • MDX Functions: YoY, YTD, QTD, MTD,

Ch 4: CHARTS, DASHBOARDS, FITLERS

  • Chart Reports - Design, Properties
  • Series Values and Category Groups
  • Report Categories with Series Groups
  • Report Category Types and Differences
  • Visualizations: Trend, Discrete Chart
  • Clustered, Non Clustered Attributes
  • Series Labels: Properties, Formatting
  • Series Actions: Multi - Valued Parameters
  • Report Actions: URL, Report Filters
  • Dashboards : Creation and Real-time Use
  • Multiple Chart Areas, Legends in Charts
  • Dashboard Exports and Report Filters
  • Static and Parameterized Report Filters
  • Series, Markers Chart Areas, Limitations
  • 3-Dimensional Report Properties, Visibility
  • Range Charts, Data Bars, Area Charts
  • Report Actions with Parameters, Joins
  • Dataset and Toolbox Filters, Bookmarks
  • Filters Vs Parameters - Difference
  • Filter Conditions in Dataset, Toolbox

Ch 5: EVENTS, LOOPS, EXPRESSIONS

  • SSIS Package Events, Validation, Execution
  • PreExecution, Progress, Cleanup Events
  • SSIS Events, Errors/Warnings/Information
  • Configuring sysssislog System Tables
  • Debugging : Data Viewers and Breakpoints
  • ForEach Loop Container. File Connections
  • Variables For Linking DFT, Control Flow
  • Dynamic Connections with Variables
  • Iterations, Fetch, Index Mapping
  • SSIS Expressions for ETL and DWH
  • FOR LOOP Expressions in SSIS
  • Init/EvalExpression, AssignExpression
  • SSIS Expressions, Functions, Values
  • Data Insertions, Data Serializations
  • Counter Values, Variables & Parameters
  • SSIS for OS Level Operations, Loops
  • Execute SQL Task : Return Values

Ch 5: PARTITIONS & AGGREGATIONS

  • Partitions : Architecture, Tuning
  • Storage, Slicing. Query Conditions
  • Query and Table Binding in Partition
  • Aggregations - Predefined Calculations
  • Full, Default, None and Unrestricted
  • Measure, Default Aggregations in OLAP
  • Linking Aggregations and Partitions
  • Additive & Semi-Additive Measures
  • Storage Modes : Multidimensional
  • Aggregation, Measure Group Storage
  • Automatic, Scheduled, Medium Latency
  • Low Latency and Custom Scheduling
  • Proactive Caching, Silence Interval
  • Cache Rebuild and Processing
  • Perspectives - Purpose, Scenarios
  • Dimension Usage for OLAP Relations
  • Translations : Creation, Real-time Use

Ch 5: EXPRESSIONS, SHARED DATASETS

  • Shared Data Sources, Shared DataSets
  • Date-Time Expressions with RDL Files
  • FORMAT Function in SSRS, Parameters
  • Data Type Conversions, Int / String Types
  • String Functions, Page Breaks in SSRS
  • LOOKUP Function, Dataset Joins in SSRS
  • Field Value Replacement with Datasets
  • Using LIST Item from SSRS Toolbox
  • Field Expressions and Field Properties
  • #VALX, #VALY, #PERCENT, #SERIES
  • #LABEL, #AXISLABEL, #LEGENDTEXT
  • 3D Pie Charts, Funnel and Tree Map
  • 3D Funnel, Sunburst, Shape Charts
  • Doughnut, Pyramid, 3D Pyramid Reports
  • Parameterized Gauge Reports - Filters
  • Indicators : Value, State Expressions
  • RDL Expressions, Custom Functions

Ch 6: SSIS with ETL, Warehouse (DWH)

  • OLTP Database : Historical Data Loads
  • Data Warehouse (DWH) Purpose, Usage
  • Dimensions, Attributes, Members Types
  • Dimension Tables, Fact Tables Design
  • TYPE1 and TYPE2 ETL Implementation
  • SCD Type1, Type 2 for DWH in Sales
  • Inferred Members and Legacy Loads
  • Initial Data Loads with Data Marts
  • Business Keys & non Identity Columns
  • Surrogate Keys, Alternate Business Keys
  • Cascading OLTP / Stage to DWH Rows
  • Fixed Attributes, Changing Attributes
  • Historical Attributes. Inferred Updates
  • ETL Date, Row Status Transformations
  • Attribute Key Types in SCD, Limitations
  • Historical Attributes and Data Delta
  • SSIS Connection Assistants - Reuse
  • SCD Transformations in Real-time

Ch 6: KPIs, OLAP CUBE DEPLOYMENTS

  • Key Performance Indicators (KPI) Design
  • MDX GOAL, VALUE, STATUS & TREND
  • Variance Computations. Format Options
  • KPI Organizer, MDX Expressions
  • FORMAT_STRING and MDX Operators
  • MEMBER, SOLVE_ORDER Expressions
  • Parent KPIs with MDX Hierarchies
  • KPI Browser and KPI Conditions
  • Drill-Up and Drill-Down in Excel
  • SSAS Deployment Build, Configuration
  • SSAS Deployment Options and Settings
  • Deployment Targets: Transaction Options
  • Deployment Wizard : Impersonation
  • Deployment Accounts, Password Security
  • OLAP Cube Security Roles, Partitions
  • Key Error Logs and Error Locations
  • Scripting Deployment. XMLA Scripts
  • Processing Options - Full, Default

Ch 6: REPORT BUILDER, GAUGES

  • Report Builder Installation & Usage
  • Differences with Report Designer Tool
  • Data Source Creation with Report Builder
  • Dataset Creation with Report Builder
  • Dataset Design with Parameters, Filters
  • Query Designer with Report Builder
  • Toolbox Items Insertion and Properties
  • Column Aggregates, Auto Group By Edits
  • Adhoc Reports with Column Groups
  • Dynamic Row Colors, Report Expression
  • Gauge Reports: End User Access
  • Report Types - Radial, Linear Gauges
  • Indicators, Pointers, Scale Ranges
  • Browser Compatibility, Offline Reports
  • Gauge, Gauge Panel Properties, Filters
  • Scale Properties, Values, Label Options
  • Ranges & Labels, Items, Needle Options
  • Parameterized Gauge Reports, Datasets

Ch 7: Checksum & DWH Design

  • Checksum Transformation in ETL Loads
  • Configuring Checksum: SSIS 2019, 2017
  • Transformation Logic, Parity Checks CRC
  • Checksum For Type I, Type II ETL DWH
  • DWH Dimension Tables With Checksum
  • Lookup Transformation, Row Redirection
  • OLE DB Command and Input Parameters
  • Parameter Mapping, Dynamic Updates
  • Cache Transformation CAW Memory Files
  • Memory Connection Lookup with Cache
  • Tuning Lookup: Caching, Index Options
  • Pre-ETL Activities, DB Recovery Models
  • FULL/ PARTIAL CACHE & NOCACHE
  • Performance Tuning and Pre-ETL Loads
  • Dependent Data Flow Tasks, Post ETL
  • Internal Parameters and Query Updates
  • Cache Allocation Options with ETL DWH

Ch 7: TABULAR CUBE DESIGN

  • SSAS Tabular Mode : Purpose, Usage
  • SSAS Tabular Mode Server Installation
  • Tabular Mode Server and DB Architecture
  • Tabular Mode Advantages with Data Sources
  • Tabular Mode : SSDT, Power Query, DAX
  • Power Query, DAX for OLAP Cube Design
  • In-Memory Vertipaq Storage - Performance
  • Source Data Access Flexibility with ROLAP
  • Business Intelligence Semantic Model
  • Tabular Mode : Developing Data Models
  • Workspace Server : Integrated, Dedicated
  • Workspace Server and Integrated Options
  • Compatibility Levels : Tabular Solutions
  • Cube Design with SQL Databases : Imports
  • Workflow with Tabular Mode Cube Design
  • Data Sources, SSDT, Tabular Mode Design
  • SSAS OLAP Environment, Cube Reports

Ch 7: REPORT BUILDER, MAP REPORTS

  • Map Reports - Map Layers and Map Items
  • Map Gallery - ESRI Share Files (Geo Data)
  • SQL Server Data Sources, Geo Spatial data
  • Business Analysis Dashboards For Maps
  • Polygon, Tile, Line and Point Map Layer
  • Map Visualization and Bubble Map Reports
  • Data Fields, Labels, Visualization Indicators
  • Fields to Visualize, Color Rules and Labels
  • Editing Report Builder Reports in Designer
  • SSRS Deployment: Report Designer Reports
  • SSRS Deployment: Report Builder Reports
  • Report Deployment - Builds, Config Files
  • Webservice URL, Webportal URL Access
  • Data Source, Data Set Folders, Report URL
  • Deployment of Shared Data Sources
  • Deployment of Shared Datasets, Reports
  • Report Manager Uploads for RDL Files

Ch 8: CDC Transformations for DWH

  • DML Audits with Change Data Capture
  • CDC Tables with SQL Server Connections
  • CDC Connections & ADO.NET Integration
  • CDC Control Flow and CDC State Values
  • INITIAL LOADS & PRCESSING RANGE
  • State Variables, Net Changes, Logging
  • Initial & Incremental Dimension Loads
  • Dynamic CDC Control, OLEDB Command
  • Internal Parameters and Usage Options
  • Parameter Mapping For ETL Type1, Type2
  • Integrating Control Flow for CDC @ ETL
  • CDC Splitter - Row Inserts, Updates
  • CDC Precautions, Input & Output Range
  • Derived Column Transformations with CDC
  • Limitations of ADO.NET Connections
  • Master Child Packages,Parameter Binding
  • Package Passwords, Project Parameters
  • Project Configuration Options(32,64 bit)

Ch 8: TABULAR MODE CUBES, DAX - 1

  • Cube Design with SQL Server Databases
  • Data Imports, Workspace Server Processing
  • Identifying Tables (Entities) and Dimensions
  • Attributes and Members and Relationships
  • Measure Groups and Aggregated Measures
  • Grid and Diagram Formats. Process Options
  • BUILD, DEPLOY with Integrated Workspace
  • Cube Browsing : "Analyze in Excel" Reports
  • Tabular Mode Cube Design and Hierarchies
  • DAX - User Interface and Data Types
  • DAX Usage : DAX Queries, Basic Examples
  • DAX Expressions and Real-time Usage
  • DAX Aggregated Measures in DAX, Syntax
  • Hierarchies and Levels in Cube Design
  • Relations : Active,Inactive Relations
  • Tabular Mode Cube : SSDT Imports
  • Model Options : Process, ReCalculate
  • Data Loads and Tabular Mode Explorer

Ch 8: REPORT MANAGEMENT

  • Data Source Management, Subscriptions
  • Dependant Items, Security Operations
  • Edit Shared Data Sources in Web Portal
  • Shared Data Source Enable and Hide
  • Connection Types, Edits and Security
  • Shared Dataset Operations: Report Edits
  • Data Preview, Downloads, Link Reports
  • Report Security: Browser Role, User Access
  • Content Management, My Reports, Publisher
  • Report Builder, Report Definitions, Uploads
  • Report Tuning: Caching, Rebuilds, Refresh
  • Report Tuning: Report Snapshot, Schedules
  • Subscriptions: Standard and Data Driven
  • Email and File share Subscriptions in SSRS
  • Schedules and Report Delivery Options
  • Report Server Settings, Shared Schedules
  • Report Timeout, Report Parts and Publish
  • Report Builder Sub Reports, Report Parts

Ch 9: Fact Table Design, DWH Loads

  • Fact Table - Design and ER Model
  • DWH : STAR & SNOWFLAKE Schemas
  • Time Dimensions and ETL Date / Time
  • Link Time Dimension to Facts, Lookups
  • Parent-Child Packages for Fact Loads
  • Inferred Members for NULL Dimensions
  • SCD Wizard for DWH Fact Table Design
  • Parameter Mapping for Incr Updates
  • ETL Load IDs - Dimension Attributes
  • Error Handling, Event Handling in SSIS
  • Text Qualifiers with Flat File Sources
  • Fact Load Design for Initial, Incr Loads
  • End-to-End DWH Design Implementation
  • Direct Data Loads and Staging Tables
  • Fact Table Staging and Incr Updates

Ch 9: TABULAR MODE - DAX LEVEL 2

  • KPIs (Key Performance Indicators) & Use
  • Partitions in Tabular Mode Cube Design
  • Using Power Query for Partition Design
  • Power Query Expressions and Data Filters
  • Import Data Options and ETL Operations
  • Defining Measures with DAX Expressions
  • Defining Perspectives for Cube Access
  • Data Expression Language (DAX) Basics
  • DAX Usage : Columns & Measures in SSAS
  • Auto-generated Expressions in DAX, Usage
  • Member Representations in DAX Queries
  • DAX Functions, Expressions, Real-time Use
  • Standard and Time Intelligence Functions
  • DAX FILTER(), CALCULATE() Operations
  • Time Dimension and YTD(), QTD(), MTD()

Ch 9: MOBILE, KPI, CUBE REPORTS

  • Mobile Reports : Creation & Usage
  • Excel and Report Server Sources
  • Working with Mobile Report Publisher
  • Elements Layout: Master, Tablet
  • Grids and Color Palette. Deployment
  • RSMobile Formats: Uploads, Downloads
  • Shared Dataset in Report Builder Tool
  • KPI Reports: Design from Web Portal
  • KPI: Value, Goal, Status, Trend
  • KPI Visuals: Bar, Line, Step, Area
  • Custom URLs and Mobile Reports
  • Cube Reports with SSAS MDX, DAX
  • SSRS Cube Reports with Parameters
  • MDX Default Parameters, Options
  • SSAS OLAP Cube Actions with SSRS

Ch 10: DWH MIGRATIONS, SCRIPT Task

  • DataWarehouse Migrations with SSIS
  • Using SSIS Containers, Db Integrity Task
  • Pre-Database Migration Task Precautions
  • Online and Offline DB Transfer Options
  • Copy / Move with DWH Migrations
  • SMTP : Simple Mail Transfer Protocol
  • SQL Server Agent and Package Events
  • Data Profiling with ADO.NET Connectors
  • XML Files & SSIS Data Profiler Tool
  • Script Task - Working in SSIS Control Flow
  • Script Task - VB.NET Program Compilations
  • Variables, Parameters with SSIS Script Task
  • Read Only, Read Write Variable Expressions
  • Expressions and Debugging, Break Points
  • Variables, Parameters Mapping Expressions
  • File System Tasks and Limitations
  • SQLDataAdapters & System.Data.SQLClient

Ch 10: OLAP DATABASE MANAGEMENT

  • OLAP Backups - Multidimensional, Tabular
  • OLAP Restores - Multidimensional, Tabular
  • Detach, Attach Operations with OLAP DBs
  • OLAP Database Processing, XMLA Scripts
  • Cube Processing Jobs with SQL Agent
  • OLAP DB Scripting with XMLA, Cloning
  • OLAP DB Security Roles - MDX, DAX
  • Partition Management - Split, Merge
  • Cube Audits, Usage Based Optimization
  • Cube Writebacks. Cube Updates with MDX
  • Tabular Mode Cube Processing Options
  • Direct Query and In Memory Processing
  • In-Memory with Direct Query Processing
  • Data Mining: Decision Trees, Clustering Alg
  • Training, Testing Sets. Lift Charts & DMX
  • Dimension Types: Role Playing, Degenerate
  • Multidimensional - Tabular Comparisons

Ch 10: PROJECT WORK in SSRS

  • SQL Server Data Sources and Datasets
  • Designing RDL [Paginated], Expressions
  • Chart Reports, Line Reports, Options
  • Dataset with Parameters and Filters
  • Trend Analysis, Continuous Data Reports
  • Data Bar Reports and Stacked Reports
  • Multi-series Charts, Dynamic Chart Size
  • Axis Display Control : Paginated Reports
  • Parameters and Filters - When to use which
  • Complete Project Solution & Explanation
  • Work Flow Operations and Report Types
  • Report Design, Builds, Report Deployment
  • Report Edits, Data Source Changes to Azure
  • Azure SQL Database for SSRS DB Source
  • Report Management, Security, Subscriptions
  • Report Tuning, Caching, Snapshot Options
  • Project FAQs and Explanations for Resume

Ch 11: SSIS DEPLOYMENTS, UPGRADES

  • SSISDB Catalog Deployments, ISPAC Files
  • Package Builds, Verification, Scripts
  • Project Deployment Wizard Targets, Logs
  • DB Catalog Folders & Projects Creation
  • Package Executions - Scripts, Reports
  • Package Validations, 32/64 bit Options
  • Configurations & Parameter Management
  • Package Jobs @ SQL Agent. Job Steps
  • Job Schedules and Notifications Event Logs
  • Package Security - SSISDB Logins, Users
  • Folder Level and Project Level Security
  • Project Migration Utilities, Upgrades
  • Package Imports, Exports with ISPAC Files
  • Command-Line Deployment,Execution Utility
  • Package Execution & Validation Reports
  • Package Versions and Restores, Rollbacks

Ch 11: Real-time Project for SSAS

  • Working with SQL Server Data Sources
  • Data Modeling and Relation Management
  • Creating Bridging Tables and References
  • Identifying Measures and Measure Groups
  • Identifyig Attributes and Dimensions
  • Adding Hierarchies and Attribute Relations
  • Time Intelligence and BI Enhancements
  • Cube Calculations with MDX / DAX
  • Defining KPIs, Perspectives, Roles
  • Cube Deployment Options with MS OLAP
  • Adding Hierarchies and Attribute Relations
  • Time Intelligence and BI Enhancements
  • Cube Calculations with MDX / DAX
  • Defining KPIs, Perspectives, Roles
  • Cube Deployment & End user Cube Access
  • DAX Queries in MS Excel (Excel Analyzer)

End to End Implementation (Real-time)

  • End to End MSBI Implementation Process
  • Project Requirements and SDLC Life Cycle
  • Database Design and Entity Selection
  • Understanding OLTP Databases, Relations
  • Design of DWH : Data Warehouse Database
  • SCD Techniques for ETL, Dimension Loads
  • Fact Loads, STAR / SNOWFLAKE Schemas
  • DWH Database Limitations for Analysis
  • OLAP Databases for Data Analysis
  • Cube Design and Operational Modes
  • Mode Selection and Capacity Planning
  • Tabular Mode OLAP Cube: Advantages
  • Excel Analysis and Reports with MDX
  • Using DAX for Modeling, Cube Reports
  • Paginated Reports with OLAP, DWH
  • MSBI Limitations, Need for Azure BI
Ch 12: Realtime Project for SSIS & DWH
Ch 12: Integration with Power BI [Plan C]
MSBI Resume Guidance, Interview FAQs

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
1. Azure Fundamentals: What is Cloud? Advantages of Azure Cloud? IaaS, SaaS & PaaS. Azure Data Engineer Technologies, Job Roles. DP 200, 201 Exams Azure Account Registration and Free Trail Activation; Understanding Azure Resources and Resource Types; Creating Resource Groups in Azure Portal;
2. Azure SQL Server: Azure Resources; Resource Groups; Azure SQL Server [Logical Server] Creation; Server Name Format and Firewall Rules; Azure Services Access with Firewall; Test Connections with SSMS Tool and Azure Data Studio Tool; Creating Azure SQL Databases in Portal, T-SQL; Tables, Data Inserts;
3. Azure SQL DB Migrations: Azure SQL DB Migrations from OnPremise; Using Data Migration Assistant Tool; Migration Assessments; Deploy Schema & Migrate Data Options; Onpremise Versus Azure SQL DB Differences; Generating bacpac Files From SSMS Tool; Azure SQL DB Exports & Imports;

Mod 1: Azure Data Factory, Azure Synapse, Azure Data Share, Azure Key Vaults

Mod 2: Azure Storage, Azure Data Lake Storage, Azure Data Lake Analytics, U-SQL

Mod 3: Azure Databricks, Azure Cosmos DB, Azure Stream Analytics, NoSQL

Ch 1: Azure Data Factory, Synapse Intro

  • Azure Data Factory (ADF) Operations
  • Hybrid Data Ingestion, Orchestration
  • Data Processing & Movement in ADF
  • Data Pipelines, Flows & Wrangling
  • Data Mashup and ETL in Azure
  • Azure Synapse (Data Warehouse)
  • Enterprise Warehouse with Synapse
  • Azure Synapse (SQL Pools) Creation
  • DWUs: Data Warehouse Units Usage
  • Big Data Storage and Data Analytics
  • Column Store Data in Azure Synapse
  • Automated Tuning and Security
  • Access, Pause/Resume with Synapse
  • SSMS & ADS Tools Connections

Ch 11: Azure Storage Concepts

  • Azure Storage Managed Service & Use
  • Azure Storage Services and Types
  • High Availability, Durability, Scalability
  • Blob: Binary Large Object Storage
  • General Purpose : Gen 1 and Gen 2
  • Blobs, File Share, Queues and Tables
  • Data Lake Gen 2 with Azure Storage
  • Blob - File System and Object Storage
  • Queues: Message Store, Secured Access
  • File Share - SMB [Server Message Block]
  • Azure Tables - Unstructured Data Store
  • Block Blob, Append Blob and Page Blobs
  • HTTP & HTTPS Access to Azure Services
  • Azure Storage Containers, End Points

Ch 21: Azure Databricks Configurations

  • Azure Databricks: Spark Based Analytics
  • ADB Workspace, Data Science Analytics
  • Workspace Options, Databricks Runtime
  • Serverless Storage, ETL and Analytics
  • Databricks File System (DBFS) Store
  • Notebooks: SQL, Spark, Python, Scala
  • Apache Spark Eco System & Integrations
  • Azure Databricks Deployment Options
  • Databricks Units (DBU) & Workspace
  • Network Security Group and Storage
  • Databricks Clusters: Architecture
  • Standard & High Concurrency Clusters
  • Databricks Pools, Capacity: CPU, Memory
  • Autopilot Options; Worker & Driver Nodes

Ch 2: Azure Synapse Architecture

  • MPP - Massively Parallel Processsing
  • Control Node and Compute Nodes
  • Azure Storage, DMS and DWUs
  • Round Robin, Replicate, Hash Tables
  • Service Level Objective, Sharding
  • Resource Classes; Gen 1 and Gen 2;
  • Table Creation, Storage, Distribution
  • CTAS: Create Table As Select. Indexes
  • Distribution Types, Time Partitions
  • Logins and Users in SQL Server
  • Users and Roles in Synapse SQL DW
  • Resource Classes; Blob Data Import
  • COPY INTO Statement in T-SQL
  • Data Monitoring Scripts with T-SQL

Ch 12: Azure Tables & Azure BLOB

  • Azure Tables - Real-time Use, NoSQL
  • Schema-less Design and Access Options
  • Structured and Realtional Data Storage
  • Tables, Entities and Properties Concepts
  • Azure Storage Account for Table Store
  • Azure Tables in Portal - GUI, Data Types
  • Azure Tables using Storage Explorer Tool
  • Query Azure Tables @ Query Builder
  • Data Imports From Excel, CSV Files
  • BLOB Data Imports @ T-SQL Queries
  • SAS: Shared Access Signature
  • CSV Uploads, Downloads, Edits, Keys
  • Master Key Credentials, External Sources
  • BULK INSERT Statement, Data Imports

Ch 22: Databricks Notebooks, Spark Jobs

  • Databricks Workspace and Spark Clusters
  • FileStore and Tables. Notebook Options
  • Data File Uploads an Tables to DBFS
  • Notebook Creation, Cells, Cmd Executions
  • Python Notebooks, ETL, Data Access
  • Data Frames Creation, Access, Analytics
  • Reports, Graphs, Plot and Custom UI
  • Spark Jobs with Azure Open Datasets
  • Notebooks For Azure BLOB Data Access
  • Remote Data @ Spark Jobs in Notebooks
  • Parquet Files and Data Frames with Spark
  • Select Queries on Temporary Data Views
  • Bar Chart and Custom Reports, Analytics
  • ADB Plots: Aggregation and Display Type

Ch 3: Azure Data Factory Architecture

  • ADF Pipeline Design, Publish, Trigger
  • ADF Architecture, Pipelines & ETL
  • DIU : Data Integration Units; Concurrency
  • Linked Service, Dataset & Activities
  • Staging Data - Advantages and Pricing
  • Polybase Indexes, Compression Options
  • Mapping Data Flow, Wrangling Data Flow
  • Pipeline Creation using Copy Data Tool
  • Azure BLOB Storage to Synapse DB
  • Linked Service and Datasets. Mapping
  • Polybase; Staging, Bulk Import Options
  • Validate, Publish Pipelines to ADF Store
  • Pipeline Execution (Triggers), Monitoring
  • Auto Resolving Integration Runtime (IR)

Ch 13: Azure Files, Queues & Security

  • Azure Files - SMB Protocol, Creation
  • Shared Access, Fully Managed, Resilency
  • Performance, Size Requirements for Shares
  • Azure Storage Explorer Tool for File Access
  • Azure Queues and Message Queues
  • Adding Messages, Queing and De-Queing
  • Clear Queue and Messages from Explorer
  • Azure Storage Security - Storage Keys
  • Shared Access - Primary, Secondary Keys
  • SAS: Shared Access Signature Generation
  • Encryption and Data Security at REST
  • CORS (Cross Origin Resource Sharing)
  • Auditing Access, Network Access Rules
  • Firewall, Advanced Threat Protection

Ch 23: Python Notebooks & Operations

  • Databricks Notebooks, Cells and Usage
  • Execution & Idle Contexts and Evictions
  • Azure Databricks Notebooks Tasks
  • Cluster Configuration Metadata Reads
  • Notebook Schedules, Cloning, URL Path
  • Notebook Exports and Imports; Re-use
  • Cluster Configurations with Notebooks
  • Python Notebooks and Magic Commands
  • CSV Files to DBFS. Access using Python
  • JDBC Hosts, Connection String, Access
  • SQL Contexts & SQL DB Connections
  • Data Imports with pyspark Assemblies
  • Pandas Data frames in Python Notebooks
  • Tables and Data Imports using Notebooks

Ch 4: Azure Data Lake with ADF

  • Creating Azure Data Lake Storage
  • Data Lake Gen 2 Hierarchial Namespace
  • Excel Upload to Container, Data Preview
  • Pipeline Parameters, Variables, OUT
  • Copy Data Tool: Timeout and Schedule
  • Secured Pipelines and Linked Services
  • Sink Options; Colum Mapping, Triggers
  • Azure SQL Database Loads to Synapse
  • Azure SQL Database Tables Data Loads
  • For Each Loops with ADF Pipelines
  • Copy Data Tool, Pipeline Edits in ADF
  • Task Schedules and Tumbling Window
  • Pipeline Execution & Runs; Monitor

Ch 14: Azure Monitor, KQL, Power Shell

  • Azure Monitor Components for Storage
  • Metrics and Logs with Azure Storage
  • Monitoring the Azure Storage Namespaces
  • Adding KQL Metrics; Account, Blob and File
  • Ingress & Egress Chart; Average Latency
  • Request Breakdowns, Signal Logic Options
  • Alerts, Conditions, Notifications and Emails
  • Power Shell Commands for Azure Storage
  • PowerShell Remoting: Scripts and cmdlets
  • Background Jobs, Transactions & Eventing
  • Network Transfer & Power Shell Types
  • $ # Prefix, Resource Groups in Power Shell
  • Creating Storage Account, Context & Files

Ch 24: Scala Notebooks, SQL Notebooks

  • Scala Notebooks and Big Data Loads
  • CSV Files from Databricks File System
  • Data Source Connections with Spark
  • Driver Classes and SQL Server Drivers
  • Data Frames in Spark, Reading Data
  • Display, Transformations with Spark
  • Data Loads to Azure SQL Synapse
  • SQL Notebooks & Data Frame, Access
  • Python Magic Comands for Data Access
  • Data Frame View, Testing data.take(n)
  • SQL Context for Data Representations
  • SQL in Notebooks: SELECT, WHERE
  • ORDER BY, GROUP BY, TOP, LIMIT

Ch 5: On-Premise Data to Azure

  • On-Premise Data Sources with Azure
  • Install Self Hosted Integration Runtime
  • Access Keys & Use. Configuration Tools
  • Remote Linked Services in ADF & SH IR
  • Authentication with Integration Runtime
  • Sourc, Sink Linked Service Connections
  • Incompatable Rows Skip, Fault Tolerance
  • Table Mapping, Column Mapping, Errors
  • Synapse Pool Connection with Onpremise
  • Staged Data Copy & ETL Performance
  • Azure Blob for Staging. Polybase
  • Connections Management - Preview
  • Pipeline Exectution, Run IDs, Errors

Ch 15: Azure Stream Analytics, Event Hubs

  • Azure Stream Analytics Pattern, Realations
  • Ingest & Analyse; Stream Analytics Jobs
  • IoT Hub, IoT Devices; Transformations
  • IoT, Stream Analytics Jobs Monitoring
  • Stream Analytics Jobs: Edits, Security
  • Streaming Units, Error Handling
  • Test Result, Output Schema in Hubs
  • IoT Hubs, IoT Events: Azure SQL DB
  • Azure Stream Analytics Integration
  • Event Hub Policies, Consumer Groups
  • Power BI Reports from Azure Storage
  • Shared Access Signature with Power BI
  • Data Visualizations with Azure Storage

Ch 25: Databricks Jobs & Power BI

  • Databricks Jobs: Creation and Usage
  • Job, Workspace & Concurrency Limits
  • Notebooks with and without Parameters
  • Jobs with Default Parameter Execution
  • Interactive and Automated Clusters
  • Job Schedules & Manual Executions
  • Active Jobs and Monitoring with ADB
  • Databricks with Power BI Desktop
  • Spark Connectors in Power BI
  • Access Token from Azure Databricks
  • Spark Cluster Connection: Nodes, Pools
  • Server Host Name, Ports and HTTP
  • Power BI Reports with Databricks

Ch 6: Incremental Loads with ADF - 1

  • ADF Pipelines with Stored Procedures
  • Watermark Tables and Timestamp Columns
  • Incremental Data Loads to Azure DW
  • New Rows and Old Rows Indentifications
  • Storing High Water Mark Data
  • Stored Procedures for Timestamp Updates
  • Azure Storage Container Incremental Loads
  • Lookup in ADF Portal & ModifiedDate
  • Expressions in ADF Portal for Lookup
  • Expressions in ADF Portal for Source
  • @activity with output Data Pipelines
  • SQL Queries for Dataset Creation
  • Concat Function, Run IDs For File Names
  • ADF Pipeline Validation and Triggers

Ch 16: Azure Data Lake Storage (ADLS)

  • Azure Data Lake Storage - Data Store
  • LIVE Edits, Permissions & Sharing
  • Hadoop based on Apache YARN
  • HDFS File System , Map Reduce
  • Authentication & Access Control
  • Azure Data Lake Gen 1 - Deployment
  • Encryption with Service Master Key
  • ADLS - Pricing and Instance Details
  • Data Explorer Tool in Azure Portal
  • Azure Strorage Explorer Tool
  • File Preview and Header Row Promotion
  • Download / Rename / Access Properties
  • Folder Upload & Download; Quick Access
  • Cached File Access, Folder Statistics

Ch 26: Azure Cosmos DB - Architecture

  • Azure Cosmos DB: Gloabally Distributed
  • Multi Model Support for Big Data
  • Turnkey Global Distribution in Cosmos
  • Always-On, Elastic Scalability, Low Pricing
  • SQL API, Mongo DB, Cassandra, Gremlin
  • Table API: Real-time Applicative Uses
  • Azure Cosmos DB and Database Concept
  • Containers - Collection, Table & Graph
  • Items - Document, Rows, Node and Edge
  • Azure Cosmos DB Accounts in Portal
  • Azure Cosmos DB with Data Explorer
  • Creating Containers & JSON Documents
  • Data Store and Data Access (Querying)
  • Scaling Options for Cosmos DB & Cautions

Ch 7: Incremental Loads with ADF - 2

  • Incremental Load Pipeline Design in ADF
  • Working with Azure Storage Containers
  • Pipeline Executions, Incremental Schedules
  • Regular Schedules & Tumbiling Windows
  • Binay Copy, Last Modified Date in Blob
  • Pipeline Trigger Schedules, Modifications
  • Incompatable Rows Skips, Fault Tolerance
  • Incremental Loads with Mutliple Tables
  • Stored Procedures, Loops in ADF Pipelines
  • Configure ETL Sources, Pre-Copy Scripts
  • Using @{item() with Dyanamic Connections
  • Table_Schema for Column Mapping
  • Writing Expressions For Dynamic Loads
  • Staging and Performance for ADF Loads

Ch 17: ADLS Monitoring, Alerts

  • Azure Data Lake Monitoring and Alerts
  • ADL Metrics, Storage Utilization Reports
  • Reads & Writes Metrics; Charts, Metrics
  • Data Reads, Writes, Requests - Storage
  • Report Shares, Download to Excel, Alerts
  • Scope, Conditions and Action Groups
  • Email Notifications and Scope Options
  • ADLS - Security Management and Levels
  • ADLS Resource Levels, Folder / File Leve
  • IP Address; Role Based Access (RBAC)
  • Access Control Lists (ACL), IAM AD Roles
  • POSIX - Access ACLs and Default ACLs
  • ACL Permissions; Read, Write,; Execute
  • Super User, RWX, Owning Users, Groups

Ch 27: Azure Cosmos DB Queries Level 1

  • Hierarchial JSON Documents in Cosmos
  • Embrace SQL, Extend SQL with NoSQL
  • Writing, Adding and Importing JSON
  • NoSQL Query Concepts and Executions
  • SELECT Format and Query Items
  • Request Charge, Results and IO Reads
  • Writes, Index, Lokup and Roundtrip
  • JSON Document & Key Value Pairs
  • Data Storage, Query: WHERE, SET
  • FROM, Aliases, Geo Spatial Queries
  • JSON Scripts to Access Sub Documents
  • Hierarchial Data, Parent-Child Relations
  • NoSQL: Unary and Binary Operators
  • SELECT with IN, BETWEEN, TOP, JOIN

Ch 8: Mapping Data Flow in ADF

  • Data Flow Task Creation in ADF Pipelines
  • Transformation Editor and Parameters
  • Comparing ADF Pipelines and Data Flow
  • Debugging: ADF Managed Executions
  • Apache Spark Clusters @ ADF Debugging
  • Authoring Data Flow, Graph, Configuration
  • Transformation Setting, Optimize, Inspect
  • Conditional Split Transformation in ADF
  • Pivot Transformation in Mapping Data Flow
  • Pivot Column & Aggregation Functions
  • Pivot Transformation, Pivot Settings
  • Pivot Key Value, Enabling Null Values
  • Pivoted Columns, Pattern, Optimize
  • Column Prefix, Help Graphic, Metadata

Ch 18: Azure Key Vaults & ADL Analytics

  • Azure Passwords, Keys and Certificates
  • Azure Key Vaults - Name and Vault URI
  • Inbuilt Managed Key, Azure Key Vault
  • Standard & Premium Azure Key Vaults
  • Identify Vault Name, URI: Access Points
  • Secret Page, Key Backups & Restores
  • Adding Keys to Azure Vaults, Types
  • Azure Data Lake Analytics Creation
  • Dynamic Scaling, U-SQL Implementation
  • Azure Data Lake Storage for Data Lake
  • Jobs Creation, Execution Environment
  • Distibuted Runtime Environment in ADLA
  • ADLA - On-demand Job Service in Azure
  • Exabyte Scale and Data Lake in USQL

Ch 28: Azure Cosmos DB Queries Level 2

  • Data Import Tool: Installation, Usage
  • JSON Data Imports to Azure Cosmos DB
  • Azure Cosmos Endpoints, Access Keys
  • NoSQL Queries on JSON Documents
  • Writing Stored Procedures & Functions
  • ACID Properties : Atomocity, Consistency
  • Isolation, Durability with Procedures
  • SP Coding, Execution with Parameter
  • Stored Procedures for Document Uploads
  • Procedures with Variables, getResponse()
  • Procedure Advantages, Execution Option
  • User Defined Functions (UDF) in Cosmos
  • UDF Execution using Cosmos DB Scripts
  • Dynamic Calculation & Reporting Options

Ch 9: Wrangling Data Flow in ADF

  • Wrangling Data Flow in ADF : Advantages
  • Power Query Online Editor for Mashup
  • Spark Code for Cloud Scale Executions
  • Wrangling Data For Less Formal Analytics
  • Sources and Sinks with Wrangling DF
  • Github Integration with ADF Repository
  • User Defined Data Stores in GitHub
  • Transformations in Data Wrangling
  • Group By, Aggregate, Reordering
  • Pivot, Aggregations in Power Query
  • ADF Data Types & ADF Pipeline Store
  • Heterogenous Sources in Power Query
  • ADF Publish, GitHub Store Differences

Ch 19: Data Lake Analytics, U-SQL 1

  • Azure Data Lake Analytics : Advantages
  • USQL - Big Data Processing Language
  • Azure Portal and Visual Studio Access
  • Aggregate, Analytical, Ranking Functions
  • U-SQL Catalog : Databases and Objects
  • Rowsets, Types and USQL Expressions
  • Azure U-SQL Jobs For Data Insertions
  • U-SQL Jobs for Storage, Retreival
  • SELECT, EXTRACT & OUTPUT Clauses
  • USING, Outputters, Extractors Classes
  • Script Execution, Job Graph, Diagnosis
  • AU Allocation, Analysis for Job Execution
  • Script Reuse. CSC, User & System Errors

Ch 29: Azure Notebooks, Azure Functions

  • Azure Notebooks, Serverles Deployment
  • Azure Cosmos Notebooks, Advantages
  • Jupyter Notebook: Implementation, Usage
  • Pandas DataFrame with Python Scripts
  • Understanding Notebook and Cells
  • Python Script for Azure Cosmos DB
  • Python Script for Data Import & Report
  • Azure Functions: Creation and Apps
  • Azure Functions @ Cosmos DB Triggers
  • Azure Function App Service Plans
  • Serverless Components, Azure Insight
  • Azure Cosmos DB Monitoring, Logs
  • Azure Monitor Workbooks, Timelines

Ch 10: ADF : End to End Implementation

  • Azure Data Share: Configuration & Use
  • Azure Data Share: PaaS for ADF Shares
  • Importing BACPAC Files into Azure
  • Azure SQL DB: Data Lake Storage Gen 2
  • Data Filters, Aggregations, Joins in ADF
  • Spark Clusters for DataFlow Debugging
  • Multi Leve Data Flows in ADF Pipeline
  • Data Loads to Azure Synapse from ADLS
  • Data Load Settings and Optimization
  • ADF Pipeline Debugging, Publish in ADF
  • Data Shares with Azure Synapse Tables
  • Data Ingestion, Consumption with Synapse
  • Recipients and Azure AD Users, Accounts
  • Run IDs, Monitoring, Cost Analysis, Metrics

Ch 20: Data Lake Analytics, U-SQL 2

  • U - SQL Operations with Visual Studio
  • Script.usql, Executions & Job Graphs
  • ADLA Account & Local Job Executions
  • Metadata, State History & AU Analysis
  • Working with TSV Data Sources in ADLS
  • Extract, Format, Data Loads with U-SQL
  • Adding New Columns to Files with U-SQL
  • ADLA Jobs For Create Databases, Tables
  • ADLA Managed Tables & External Tables
  • Create Tables from Query Rowset Option
  • Clone & Copy Tables using U-SQL Jobs
  • Hash Distributed Tables, Clustered Index
  • TVF - Table Valued Functions, Retreival
  • SELECT, TOP, FETCH & ROW_NUMBER

Ch 30: Azure Cosmos Admin, Power BI

  • Azure Cosmos DB: Conistency Levels
  • Bounded Staleness and Consistent Prefix
  • Eventual & Synchronizations with Cosmos
  • Azure Cosmos: Backup Retention, Restores
  • IAM: Identity Access Management, Azure AD
  • Owner Role, Contributor & Reader Roles
  • Cosmos Backup Operator, Account Reader
  • Global Distribution Strategies, BCDR
  • Data Replication and High Availability
  • Multi Region Writes and Data Access
  • Azure Cosmos Database Cost Calculations
  • Availability Zones, Automated Failvoer
  • Azure Cosmos Database Management
  • Workloads and Multi Region Writes

Real-time Project @ Ecommerce Domain: Includes On-Premise Migrations with bac Files, Azure Storage Compoments, Azure Data Ingestions using Azure Data Factory; Big Data Storage with Azure Synapse and Azure Cosmos Database; Big Data Analytics using Azure Databricks and Azure Stream Analytics. This Real-time Project also includes End User Reporting with Power BI. Additionally includes Resume Support and DP 200, DP 201 Certification Guidance.


Chapter 1: SSIS Migrations to Azure Data Factory
Provision Azure SQL Server Integration Services; SSIS DB Creation and Configuration Recommendations; Node Size, Node Number and Edition / License Options; Count, Parallel Execution Settings and DIUs; Edition Settings, logical SQL Server Configurations; SSIS DB Access from SSMS, SKU & Edition Checks; SSIS Package Validations with Connection Parameters; Generation of ISPAC Files in On-Premise, Validations; SSIS Catalog Database, Catalog Folders Creation; SSIS Deployments with ISPAC to Azure SSIS Catalog DB; Package Verifications and Acess from ADF Portal; SSIS Package Execution from ADF Portal, SSIS Store;

Chapter 2: Azure SSIS from Visual Studio (SSDT)
Accessing Azure Data Factory Resource from SSDT; Storage Account and BLOB Container Configurations; Azure SQL Server Deployment for SSIS Catalog DB; Configuring Azure Data Factory, Azure SSIS IR; Using Azure Enabled Integration Services Project in SSDT; Enabling, Linking ADF Account to SSIS Project; Using Azure BLOB Upload Task in SSIS - SSDT Tool; Storage Account, Access Key & Authentication Tests; SSIS Import and Export Operations with Azure; Excel Sheet to Azure SQL Database Tables in SSIS; Connection Settings and Package Executions in Azure; PIVOT Operations in SSIS, Data Uploads to Azure;

Chapter 3: SSIS Packages with Azure Feature Pack
Azure Feature Pack Installations and Real-time Usage; Using Azure BLOB Destination with ETL in SSIS; Using Azure SQL Server Databases with ETL in SSIS; SSIS Package Design with Azure Connections, Parameters; Azure SSIS Runtime Configurations, SSIS DB usage; Azure SSIS Package Executions with T-SQL Scripts; Real-time Considerations with Azure SSIS Migrations; Security Options - Data Security at Rest, TDE Options; Tools - Azure SSIS IR Customizations and Precautions; Pricing - Azure Hybrid Benefit (AHB), DIU and DTU Costs; 3rd Party Tools - Azure SSIS Feature Pack, IR Customization; Networking - Odata Sources, WAN & VNET Considerations;

Chapter 4: Elastic Jobs with Azure SSIS DB
Working with Azure SSIS DB - Standard Edition; Elastic Job Agent Service and Job Databases; Creating Master Keys and Database Credentials; Job Database Configurations with T-SQL Scripts; Testing Elastic Jobs from Azure Portal, T-SQL; Setting Retention Window in Azure SSIS DB with T-SQL; Start, Stop & Schedule Azure SSIS IR; Working with Web Activity in Azure Data Factory; Web Activity : PUSH / PULL Settings, Messages; Azure Management URLs, Azure SSIS IR Start & Stop; MSBI Authentication with Web Activity, Security; Execute SSIS Package Activity with ADF Pipeline; ADF Trigger Schedules and Tumbling Window;

Chapter 5: Azure SSIS Projects : Versioning, ADF Jobs
Azure SSIS Projects : Deployments and Exports; Azure SSIS Projects : Improts to SSDT Environment; Enabling ADF for Existing SSIS Projects, Parameters; SSIS Package Deployments. Deployment Rollbacks, LSN; Creating ADF Jobs from SSMS - using SSIS Schedules; Trigger Edits and Configuration Settings with ADF Jobs; Azure SSIS - Security Management; Creating Logins and Users in Azure SQL Server; User Mapping with SSIS Catalog Database, Scripts; Folder Level and Project Level Permissions in SSSDB; Read, Modify and Manage Permissions in SSIS DB; Principal IDs and Permission Types, Object Types; IAM : ADF Security @ Azure Active Directory Users, Groups;

Chapter 1: Azure Analysis Services Operations

Azure Analysis Services : Architecture and Purpose; PaaS Implementation of SSAS in Azure Cloud; Azure Analysis Services : Advantages over MSBI SSAS; Deployment, Integration and Low Cost of Ownership; Server Side Encryption (SSE) with Azure BLOB Data; SSAS Data Models with Azure Analysis Services; Deployment Options and Workflow Operations; Azure Analysis Services: Query Processing Unit (QPU); Service Tiers (Plans): Developer, Basic and Standard; Data Source Types and In-Memory Options in AS; Creating and Connecting to Azure Analysis Services; Sample Models: Creation, Connection and Analytics;

Chapter 2: Data Models with Azure Analysis Services

Creating Data Models in SQL Server Data Tools; Tabular Mode Data Models with Azure SQL Database; Working with In-Memory Xvelocity Vertipaq Database; Multi Factor Authentication (MFA) with SSMS Tool; Creating Analysis Services Tabular Mode Projects; Compatibility Levels and Integrated Workspace; Navigators, In-Memory Data Processing & Cubes; Data Model Deployments with Azure Analysis Server; Dimension & Attribute Identification in Data Models; Aggregated Measures, KPIs and Excel Data Analytics; Creating Hierarchies and Attribute Relations; Azure Active Directory Authentication For Azure AS;

Chapter 3: Azure Data Sources and DAX Calculations

Azure Synapse (Data Warehouse) Data Sources; Azure Storage Tables and Azure Files (BLOB) Data; Azure Cosmos Databases for Azure Analysis Services; Using SMK: Service Managed Key for Data Models; Using Azure Active Directory (AAD) Users and Groups; Using Azure Service Principals and Tenants for Azure AS; Using Service Vaults for Authentication Options; Direct Query and Import Options with Azure Sources; DAX Implementations with Azure Data Sources; DAX Measures and DAX Calculations for Attributes; Formatting Date and Time Calculations with DAX; YoY, YTD, MoM, QTD, YTD, MTD DAX Calculations;

Chapter 4: Azure AS with On-Premise Data Sources

Accessing On-Premise Data Sources For Azure AS; OnPremise Versus Azure Analysis Services; MSMDSRV.EXE Versus Azure PaaS Components; Azure Storage Account For Azure AS OLAP DB Store; In-Memory Vertipaq Database Concepts with OLAP; MCE : Maximum Core Entitlement with Azure OLAP; On-Premise OLAP Cube Deployments (Tabular); Migrating On-Premise to Azure Analysis Services; Creating abf Files with On-Premise OLAP Database; Creating and Using Azure Storage Containers; Restoring abf Files in Azure Analysis Services (PaaS); Testing OLAP DB Migrations with Excel Analyzer;

Chapter 5: Azure AS Data Model Management

Start & Stop Options. Scale Up & Scale Down Options; Azure Analysis Services: Monitoring, Activity Logs; Event Severity, Quick Insights and Usage Metrics; Diagnostic Events, Errors and Alerts in Azure AS; Configure OLAP Database Replica, Backups & Restores; Detach and Attach OLAP Databases, Migrations; IAM : Identity and Access Management with Azure AS; Analytical Role, Monitor Role in Azure AS Data Models; Owner Role, Contributor Role & Reader Role; AD User Permissions, Firewall, Alerts and Metrics; Firewalls, Data Security and Row Level Security; Common Errors and Solutions with Azure Analysis;

Chapter 6: End to End Implementation with Azure AS

Creating Azure Data Sources and Azure Synapse; Creating Azure Analysis Services Resources, Models; Creating Data Models with Azure Synapse Databases; Tabular Mode Data Models : Design and Compatibility; Data Imports, Data Preview, Processing & Deployment; DAX For Aggregated Measures, Aggregated Columns; RLS: Row Level Security Implementation with DAX; OLAP Deployment Options and OLAP Server Settings; OLAP Database Builds and Deployment Target Files; XMLA Scripts, OLAP DB Scripting & Cloning Options; Power BI for Azure Analysis Services Data Models; Interactive Reports Design with Azure OLAP Databases;

Power BI Embedded

Need for Power BI Embedded and Azure Platform; Independent Software Vendors (ISV); PaaS Solution for Power BI in Azure, Configuration; SaaS Solution for Power BI with Premium Account; Pay as you Go versus Monthly Subscriptions; Using Azure Portal and Power BI Desktop UI; Creating Power BI Embedded Capacities; Azure Configuraton, Access Options. Visualizations; Capacity Administrators and Pricing Tiers

Power BI Embedded in Azure and Office; Azure Active Directory Tenant Setup, Power BI Pro; Embedded Development Analysitcs Environment; Azure Active Directory (AAD) : App Registration; Native Apps and Server Side Web Applications; Workspace Creation and Realt-time Usage; Server Principal and Security Settings, URL Access; Create & Publish Reports in Power BI Embedded; Power BI Embeeding within Applications (.NET)

Microsoft Rest Token Credentials and Use; Creating Dedicated Capacities and Nodes; Development Testing Options with Embedded; Workspace Assisgnment to Capacities; Organizational Embeds and Secure Tenants; End to End Implementation with Power BI; Firewall Settings, Power BI Access; Metrics : Memory & CPU Usage Reports; Azure Security Management Options; Owner, Contributor, RBAC in Azure AD

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