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:

Curriculum PDF-Image

Register Today

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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