SSAS Online Training with MDX & DAX - LIVE, Instructor Led

SSAS Online Training at SQL School is carefully designed to involve Datawarehouse Implementation, OLAP Data Modelling, Cube Development, Dimension Modelling, MDX Programing, DAX Expressions, MDX & DAX Reports, Data Mining with Forecasts and Tuning and Debugging operations. Classes are completely practical and interactive with one real-time Case Study.

Pre-requisites: Participant needs to have knowledge on  SQL Server T-SQL Queries  to join our Real-time Practical Data Modelling (SSAS) Training Course.

SSAS (Analysis Services) Training Plans

  PLAN A PLAN B PLAN C
Description SSAS SSAS & T-SQL T-SQL, SSAS &
Power BI
Total Duration 3 Weeks 6 Weeks 10 Weeks
SSAS: OLAP Cube Design
Multidimensional Cube Design
Tabular Mode Cube Design
MDX Queries & Expressions
DAX Queries & Expressions
Data Modelling with MDX
Data Modelling with DAX
SQL : Basics, DDL, DML, SELECT
T-SQL : Constraints, Normal Forms
T-SQL: Joins, Group By, Queries
T-SQL: Merge, Pivot, Date & Time Formats
T-SQL: Excel Integrations, Pivot Charts
Power BI Report Design
Power BI Desktop, Custom Visuals
Data Modelling with Power Query
Data Modelling with DAX
Power BI Cloud, Excel Analysis
Power BI Mobile, R, REST API
Python Integration, Data Flows
Power BI Report Server

Trainer: Mr. Sai Phanindra T

SQL Server & T-SQL Schedules
S No Time (IST, Mon - Fri) Start Date  
1 6 AM - 7 AM Sep 12th Register
2 8 AM - 9 AM Aug 29th Register
3 6 PM - 7 PM Aug 10th Register
4 8 PM - 9 PM Sep 18th Register
5 9 PM - 10 PM Aug 22nd Register
SSAS Training Schedules
S No Timings (IST) Start Date  
  Regular Schedules [Mon - Fri]
6 8:30 AM - 9:30 AM July 20th Register
7 8:30 PM - 9:30 PM July 26th Register
Power BI Training Schedules
S No Time (IST, Mon - Fri) Start Date  
6 8 AM - 9 AM Sep 26th Register
7 11 AM - 12 PM Aug 11th Register
8 8 PM - 9 PM Aug 21st Register

If above schedule does not work, opt for SSAS Training Videos


SSAS TRAINING HIGHLIGHTS :

✔ Basic to Adv. ETL ✔ Basic to Adv. DAX
✔ Data Modelling ✔ OLAP DB Design
✔ Power Query ✔ Basic to Adv. MDX
✔ Kimball BI Design ✔ Inmon BI Design
✔ Star, Snowflake ✔ Data Warehousing
✔ OLTP, File Data ✔ JSON, XML Data
✔ Resume Guidance ✔ MCSA MSBI Exam

All Session Are Completely Practical & Real Time

SSAS LIVE Online Training Course Contents:

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
  • Second Normal Form, Candidate Keys
  • 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: Excel Analytics

  • Joins with Group By Queries in TSQL
  • Joining 2, 3 Tables with Group By
  • 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: Window Functions, Cursors, CTEs

  • Cursors - Benefits, Cursors in SProcs
  • Cursors - Life Cycle. Declare, Open
  • 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
  • Window Functions : Aggregations
  • Window Functions : Row_Number, Rank
  • Window Functions : Dense_Rank, Partition By
  • Identifying Duplicated Rows & Rank()
  • Deletion of Duplicated Rows with Views
  • Deletion of Duplicated Rows with CTEs

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)

Chapter 1: Tabular Mode Introduction

  • Databases : Types; OLTP, OLAP, DWH
  • Need for OLAP Databases and Cubes
  • OLTP versus OLAP Databases
  • DWH versus OLAP Databases
  • SQL Server Components & Features
  • SQL Server Analysis Services (SSAS)
  • SSAS Modes of Implementation
  • Tabular Mode: Advantages
  • Tabular Mode for OLAP Databases
  • SQL Server (Instance) Installation
  • Tabular Mode Server Installation
  • Management Studio (SSMS) Installation
  • Tabular Mode Server Connections
  • Server Properties; Data Directories
  • Visual Studio Tool: Purpose, Installation

Chapter 5: Cube Deployment & MDX

  • OLAP Cube Deployments: Phases
  • Builds and Rebuilds - Output Results
  • Deployment Phase & Process Phase
  • Processing Options; Transactions
  • Processing Options : Donot Process
  • Deploy All and Deploy Changes Only
  • Cube Processsing Modes: In-Memory
  • Direct Query Options For Deployment
  • Cube Access from SSMS : Cube Browser
  • XMLA Scripts : OLAP DB Scripting
  • MDX: Multi Dimensional Expressions
  • MDX Queries : Auto & Manual Modes
  • MDX Queries: ORDER, TOP, WHERE
  • MDX Queries: MEMBERS, FILTERS
  • Generating MDX Queries from SSMS

Chapter 9: DAX - Level 4

  • Statistical DAX Functions
  • COUNTROWS, COUNTX
  • DISTINCTCOUNT
  • COUNTBLANK
  • COUNT, COUNTA
  • MIN, MINA & MINX
  • MAX, MAXA & MAXA
  • AVERAGE, AVERAGEA, AVERAGEX
  • Parent and Child Functions
  • PATH, PATHITEM
  • PATHCONTAINS
  • PATHLENGTH
  • Math & Trig Functions
  • SUM Vs SUMX

Chapter 2:  Tabular Mode Cube Design

  • Using Visual Studio Tool : Tabular Mode
  • Cube Design - BISM and Explorer
  • Workspace and In-Memory Database
  • Cube Architecture: Measure Groups
  • Measures and Aggregations in Cube
  • Dimension Tables and Realtime Use
  • Attributes (Columns) and Members
  • Data Models For Cube Design
  • Data Source : Creations; Data Imports
  • Entity Selection and Data Source View
  • Data Models : Entity Relationships
  • Adding and Editing Relationships
  • Aggregated Measures and Attributes
  • Identify Measure Groups, Dimensions
  • Analyse in Excel. Cube Reports

Chapter 6: DAX - Level 1

  • DAX: Data Analysis Expressions
  • Role of DAX in Data Analytics
  • Implementations of DAX in OLAP
  • DAX : Entities & Naming Format
  • DAX Data Types and Operators
  • DAX Expressions : Purpose, Usage
  • DAX Queries: Purpose, Usage
  • DAX Functions : High Level Usage
  • DAX Expressions : Calculated Columns
  • DAX Column for Cube Design
  • ISBLANK() and IF() Functions
  • CALCUALTE () and SUM Functions
  • Understanding DAX Measures
  • Column Operations and Data Types
  • Calculation Operations, In-Memory

Chapter 10: DAX - Level 3

  • Time Intelligence Functions
  • OPENINGBALANCEMONTH
  • OPENINGBALANCEQUARTER
  • OPENINGBALANCEYEAR
  • CLOSINGBALANCEMONTH
  • CLOSINGBALANCEQUARTER
  • CLOSINGBALANCEYEAR
  • PREVIOUSDAY, PREVIOUSMONTH
  • FIRSTNONBLANK, NEXTMONTH
  • PREVIOUSQUARTER
  • TOTALMTD, TOTALQTD
  • TOTALYTD, NEXTDAY
  • PARALLELPERIOD
  • SAMEPERIODLASTYEAR

Chapter 3: Cube Objects

  • OLAP Cube Design Concepts
  • OLAP Cube Objects in Tabular Mode
  • Understanding Grid View
  • Grid View Versus Relation View
  • Insert / Rename / Freeze Columns
  • Relationship Edits and Rules
  • Hierarchies: Creation & Precautions
  • Hierarchies Usage for Data Analytics
  • Perspectives : Purpose & Creation
  • Using Hierarchies and Perspectives
  • Excel Analytics with Hierarchies
  • Excel Analytics with Perspectives
  • Cube Partitions: Creation with SQL
  • Entity Partitions and Tuning Concepts
  • Grouping Entities - Snowflake

Chapter 7: DAX - Level 2

  • DAX Functions and Real-time Use
  • Filter Functions in DAX
  • ALL, ALLSELECTED
  • ALLEXCEPT, CALCULATE
  • CALCULATETABLE, FILTER
  • LOOKUPVALUE, OFFSET
  • Calculation Groups and Use
  • Cube Calculations & Deployments
  • Table Manipulation DAX Functions
  • ADDCOLUMNS & SUMMARIZE
  • GROUPBY, DATATABLE
  • UNION, EXCEPT
  • INTERSECT, ROW
  • NATURALINNERJOIN
  • NATURALOUTERJOIN

Chapter 11: DAX - Level 4

  • Date & Time Functions
  • CALENDAR, CALENDARAUTO
  • DATE, DATEDIFF, TIME
  • DATEVALUE, NOW
  • DAY, YEAR, MONTH
  • QUARTER, HOUR
  • MINUTE, SECOND
  • EDATE, EOMONTH
  • DAX Calculations with Joins
  • KPI: Key Performance Indicator
  • Using KPIs with DAX Concepts
  • Using KPIs with MDX Queries
  • KPIs Versus DAX Calculations
  • Translations & Cube Access

Chapter 4: CUBE Data Models

  • Data Modelling Concepts @ Databases
  • Data Models with OLAP Databases
  • Dimensions & Fact Table Identification
  • STAR Schema : Design Patterns
  • STAR Schema : Advantages & Cautions
  • SNOWFLAKE Schema : Design Patterns
  • STAR Versus SNOWFLAKE Schemas
  • OLTP Database Sources for OLAP
  • Cube Design with STAR Schema
  • STAR Schema Data Models with OLAP
  • SNOWFLAKE Data Models with OLAP
  • Snowflake Schema : Data Sources
  • Snowflake Schema : Cube Design
  • Azure Data Sources with OLAP Cubes
  • Using Azure SQL Databases with STAR

Chapter 8: DAX - Level 3

  • Logical DAX Functions
  • IFERROR, SWITCH
  • IF and AND (&&)
  • OR(||), NOT
  • COALESCE
  • USERPRINCIPALNAME()
  • USERELATIONSHIP
  • RELATEDTABLE
  • Text DAX Functions
  • UPPER, LOWER
  • LEFT, RIGHT, LEN
  • CONCATENATE
  • CONCATENATEX
  • ROW, SEARCH, REPT
  • MID, FIND, EXACT

Chapter 12: Power BI Integrations

  • Using OLAP Cubes with Power BI
  • Storage Modes, Power BI In-Memory
  • Import and Connect LIVE Options
  • Creating Calendar Table in Power BI
  • Cumulative Total/ Running Total
  • Display Top Products for each region
  • DAX shortcuts in Power BI Desktop
  • Performance Advantages with OLAP
  • MDX Queries with SSMS Tool
  • Using MDX and DAX in Power BI
  • RLS: Row Level Security & DAX
  • Implementing RLS in Tabular Mode
  • Implementing RLS in Power BI
  • DAX Expressions for RLS
* Above curriculum applicable for registrations from Apr 10th, 2023

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
One Real-time Project with 24x7 LIVE Server & Session wise Material and Lab Work to be provided.

Benefits of our SSAS Training Course :

  • Completely Practical and Realtime
  • Theory Material provided in Advance
  • Highly Interactive and Interesting
  • Daily Tasks and Weekly Assignments
  • Certification Guidance and FAQs
  • 24x7 Server Access with Realtime DBs

After the SSAS Online Training course participants should be able to :

  • Design and Understand OLAP Cube Structures
  • Decide to Multidimensional and Tabular Techniques
  • Design MDX Queries and Expressions for Cube Reports
  • Tune OLAP Cube Structures with UBO and Partitions
  • Perform Aggregation Design and KPIs with DAX Expressions
  • Deploy and Implement SSAS OLAP Databases with Data Mining
Our SSAS Online Trainings are completely practical, realtime. Register Today for Free Demo
 

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