Azure SSAS Video Training with 100% Handson Training

Azure Azure SSAS Online Training course with 100% HandsOn. Course includes AS Azure Analysis Vs On-Premise SSAS, Azure Blob Server Side Encryptions, Azure Analysis Services Data Models, Developer, Basic and Standard Tiers, Tabular Mode Deployments with AAS, MDX Queries and Cube Browser in SSMS, ADAL Caching Options from SSDT, Azure SQL Daabase Sources for Azure Analysis, Azure Synapse Sources for Azure Analysis.

This Azure SSAS Online Training course also includes best practices On-Premise SSAS, Azure Analysis Migration, On-Premise Data Backups into ABF, AS Azure Analysis Backups and Restores. Register Today for Free Demo

Azure SSAS Training Plans

  PLAN A PLAN B PLAN C PLAN D
Course includes Azure SSAS SSAS
Azure SSAS
SSAS,
Azure SSAS,
Power BI
SSAS,
Azure SSAS,
Power BI, T-SQL
No of Videos 5 Videos 15 Videos 23 Videos 35 Videos
Azure SSAS: Azure Analysis Services Data Models
Azure SSAS: Azure Analysis Migration
Azure SSAS: Azure Synapse Sources for AS
SSAS: OLAP Cube Design
SSAS: Multidimensional Cube Design
SSAS: Tabular Mode Cube Design
SSAS: MDX, DAX Queries & Expressions
Power BI: Power BI Report Design
Power BI: Data Modelling with Power Query
Power BI: Power BI Cloud, Excel Analysis
T-SQL: Db Basics, SQL Queries, Constraints
T-SQL: Joins, Queries, Parameters, Locks
Course Fee INR 5000
USD 68
INR 11000
USD 149
INR 19000
USD 257
INR 21000
USD 284

Trainer & Profile : Mr. Sai Phanindra T

Reegister today Azure SSIS Videos

Azure SSAS Training Highlights

Azure Migrations SSIS Migrations
Big Data Sources IR Config
Elastic Jobs ADF Jobs
ADLS Sources Synapse DWH
MPP, DWUc CTAS, T-SQL

ALL SESSIONS ARE COMPLETELY PRACTICAL & REAL-TIME

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Azure SSAS Training Course Contents:

SSAS - Multidimensional Mode

SSAS - Tabular Mode

Ch 1: INTRODUCTION TO SSAS & CONFIGURATION

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

Ch 7: TABULAR MODE INSTALLATION, CUBE DESIGN

  • SSAS Tabular Mode : Purpose, Scope of Real-time Usage
  • SSAS Tabular Mode Server Installation, Mode Verification
  • Tabular Mode Server and Database Architecture
  • Tabular Mode Advantages with Data Sources, Cube Design
  • Tabular Mode Design : SSDT, Power Query, DAX
  • Purpose of Power Query and DAX for OLAP Cube Design
  • In-Memory Vertipaq Storage - Performance Advantages
  • BISM : Business Intelligence Semantic Model
  • Tabular Mode Cubes : Developing Data Models (SMDL)
  • Workspace Servers : Integrated and Dedicated Modes
  • Comparing Workspace Server and Integrated Options
  • Compatibility Levels with OLAP Tabular Mode Solutions
  • Cube Design with SQL Server Databases : Data Imports
  • Workflow Operations with Tabular Mode Cube Design
  • Data Sources, SSDT and Tabular Mode Cube Design
  • SSAS OLAP Environment and Cube Report Entities

Ch 2: BASIC CUBE DESIGN WITH SSAS, EXCEL PIVOT

  • Basic Cube Design with SSDT (SQL Server Data Tools)
  • SSAS OLAP Entities : Data Source, Data Source View
  • Cube Design Concepts : Measure Groups, Measures
  • Identifying Dimensions, Attributes and Members
  • Basic Cube Design : DS, DSV, Cube Wizard, Dimensions
  • Adding Attributes. SSAS Deployment and Cube Access
  • PROCESS of OLAP Cube. Options and Online Deployment
  • Cube Browsing (Basic Level) using SSMS & SSDT Tools
  • Excel Connections for SSAS Databases & OLAP Cube Access
  • Excel PIVOT Tables and Basic Chart Report Design in SSAS
  • Piechart Reports and Attribute Filters. Usage Statistics
  • Common Deployment Errors : Logon Failures @ OLAP Server
  • OLAP Server Impersonation Account - NT ATHORITY Account
  • OLAP Deployment Warnings and Solutions. Precautions
  • End to End Implementation of SSAS - Basic Level Example

Ch 8: TABULAR MODE CUBE DESIGN, DAX - 1

  • Cube Design with SQL Server Databases : Data Imports
  • Identifying Tables, Dimensions, Attributes and Members
  • Designing Measure Groups, Aggregated Measures
  • Grid Formats and Diagram Formats. Process Options
  • BUILD and DEPLOY Options with Integrated Workspace
  • Cube Browsing with "Analyze in Excel" Options, Reports
  • Tabular Mode Cube Design : Creating, Using Hierarchies
  • DAX - User Interface and Data Types, Basic Examples
  • DAX Usage : DAX Queries and DAX Expressions
  • DAX Aggregated Measures with DAX, DAX Syntax
  • Hierarchies in Cube Design : Adding Levels
  • Relationship Edits : Active, Inactive Relations
  • Tabular Mode Cube Redesign with Import Templates
  • Model Options : Process, Calculate Option Advantages
  • Data Load Verifications, Tabular Mode Explorer

Ch 3: HIERARCHIES, MDX - LEVEL 1

  • Working with Data Source Views (DSV) : Named Calculations
  • Named Queries & Dimension Attributes. Explore Data in DSV
  • Basic Dimension Types : Database Dimension @ Entity Level
  • Cube Dimension Based on Entity Relations in DSV
  • Creating Hierarchies in Multidimensional Cube : Purpose
  • Grouping Attributes within Database Dimensions
  • Testing Hierarchies in Cube Browser : SSMS, SSDT Tools
  • MDX: Multidimensional Expression Language. Syntax Rules
  • MDX Queries Syntax and MDX Expressions Syntax
  • MDX Syntax and Axis Models. Cube Data into Rows, Columns
  • Practical Advantages of MDX: Reports, Cube Writebacks
  • MDX Queries with Dimension Attributes, Members. Axis
  • MDX Queries on Hierarchies, Levels and Attribute Keys
  • MEMBERS, CHILDREN, ALL MEMBERS - Cube Aggregates
  • SELECT Statement in MDX with CROSSJOIN Examples

Ch 9: TABULAR MODE - DAX LEVEL 2

  • KPIs (Key Performance Indicators) Realtime 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 and Measures in SSAS
  • Auto-generated Expressions in DAX, Usage
  • Member Representations in DAX Queries
  • DAX Functions, Expressions and Real-time Usage
  • Standard Functions, Time Intelligence Functions
  • DAX FILTER() and CALCULATE() Operations
  • Time Dimention and YTD(), QTD(), MTD()

Ch 4: CALCULATIONS, MDX - LEVEL 2

  • MDX Queries with WHERE, EXCEPT, RANGE, Operators
  • NONEMPTY, Multiple Member Values. Limitations @ WHERE
  • PARENT and CHILDREN with MDX Hierarchies. Tuple Inverse
  • MDX ORDER, TOPCOUNT / HEAD, BOTTOMCOUNT/ TAIL
  • FILTERS in MDX - CURRENT MEMBER, EMPTY MEMBER
  • FILTER Expressions with AND / OR and LEFT / RIGHT Range
  • MDX Query Batches - GO Statement and Query Separator
  • ADOMD Client : MDX Query Processing and Real-time Use
  • MDX Calculations - Creation and Scope of Usage
  • Calculations with MDX Expressions: Measure Level
  • Calculations with MDX Expressions: Attribute Level
  • Time Based Calculations with MDX Scripts in Cube
  • TIME DIMENSIONS - Purpose and Advantages, Properties
  • Time Keys and Time Attributes - Calendar / Fiscal / ISO
  • BI Enhancements (Cube) : Advantage and Usage Scope
  • Identifying Attributes, Hierarchies For Time Enhancements
  • Testing Time Intelligence : YoY, YTD, QTD, MTD, etc..

Ch 10: OLAP DATABASE MANAGEMENT

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

Ch 5: PARTITIONS, AGGREGATIONS, PERSPECTIVES

  • Partitions : Purpose and Architecture, Tuning Operations
  • Cube Partitions : Storage, Slice Options. Query Conditions
  • Query Binding and Table Binding Options in Partition Design
  • Aggregations - Purpose and Usage. Predefined Calculations
  • Aggregation Types: Full, Default, None and Unrestricted
  • Measure Properties and Default Aggregation Types in OLAP
  • Linking Aggregations and Partitions. Cube Slicing Options
  • Additive and Semi-Additive Measures - Aggregation Options
  • Storage Modes : Multidimensional, Relational and Hybrid
  • Aggregation Storage & Measure Group Storage: MOLAP/ROLAP
  • MOLAP - Automatic Processing, Scheduled, Medium Latency
  • Low Latency Processing and Custom Scheduling Options
  • Proactive Caching Options and Silence / Override Interval
  • Cache Rebuild & Overwrite Options. Processing with Partitions
  • Perspectives - Purpose and Scenarios For Invalid Cube Access
  • Dimension Usage Tab for Dimension Relations. End User Access
  • Translations : Creation and Real-time Use. Language Settings

Ch 11: Real-time Project for SSAS

  • Working with SQL Server Data Sources
  • Data Modelling 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 and End user Cube Access
  • Adding Hierarchies and Attribute Relations
  • Time Intelligence and BI Enhancements
  • Cube Calculations with MDX / DAX
  • Defining KPIs, Perspectives, Roles
  • Cube Deployment and End user Cube Access

Ch 6: KPIs, OLAP CUBE DEPLOYMENTS

  • Key Performance Indicators (KPI) - Purpose, Design Options
  • MDX Calculations for GOAL, VALUE, STATUS & TREND
  • Variance and Value Computations. Format Options, Scope
  • KPI Organizer, Calculations. MDX Expressions, Time Analysis
  • FORMAT_STRING, MDX Expressions and Member Operators
  • MEMBER Names and SOLVE_ORDER Expressions in MDX
  • Parent KPIs with Member Hierarchies, KPI Browser Options
  • KPIs for Drill-Up, Drill-Down in MS Excel. Pivot Tables
  • SSAS Deployment Wizard : BUILD and Configuration Files
  • Deployment Options, Settings, Targets: Transaction Settings
  • SSAS Deployment Wizard Usage: Impersonation Settings
  • SSAS Deployment Accounts and Passwords. Security Inherit
  • OLAP Cube Security Roles and Partition Settings (MOLAP)
  • Key Error Logs, Custom Storage and Error Locations
  • Scripting Deployment Procedure. Executing of XMLA Scripts
  • OLAP Database Processing Options - Full, Default, None

Power BI with SSAS

  • Multidimensional Mode Cube Access in Power BI
  • LIVE and Data Import Storage Modes
  • Data Modelling Restrictions in Power BI
  • Using KPIs and Measures From OLAP in Power BI
  • Using Attributes and Categories in Power BI
  • Tabular Mode Cube Access in Power BI
  • LIVE and Data Import Storage Modes
  • Data Modelling Operations in Power BI
  • Incremental Data Loads and Data Refresh
  • Creating New DAX Measures in Power BI
  • Tabular Mode Advantages with Power BI
  • Time Intelligence and BI Enhancements
  • Interactive Reports : Cloud Publish
  • Data Refresh and Gateway for OLAP DB

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;

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

Ch 1: SQL SERVER 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 5: SQL Basics - 3, T-SQL 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 Retreival and 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 9: JOINS, T-SQL QUERIES Level 3

  • GetDate, Year, Month, Day Functions
  • Date & Time Styles, Data Formatting
  • DateAdd and DateDiff Functions
  • Cast and, Convert Functions in Queries
  • String Functions: SubString, Relicate
  • Len, Upper, Lower, Left and Right
  • LTrim, RTrim, CharIndex Functions
  • MERGE Statement - Comparing Tables
  • WHEN MATCHED and NOT MATCHED
  • Incremental Load with MERGE Statement
  • IIF() Function for Value Compares
  • CASE Statement : WHEN, ELSE, END
  • ROW_NUMBER() and RANK() Queries
  • Dense Rank and Partition By Queries

Ch 2: SQL SERVER INSTALLATIONS

  • System Configuration Checker Tool
  • Versions and Editions of SQL Server
  • SQL Server and SSMS Installation Plan
  • SQL Server Pre-requisites : S/W, H/W
  • SQL Server 2016 / 2017 Installation
  • SQL Server 2019 Installation
  • Instance Name and Server Features
  • Instances : Types and Properties
  • Default Instance, Named Instances
  • Port Numbers, Instance Differences
  • Service and Service Account Use
  • Authentication Modes and Logins
  • Windows Logins and SQL Logins
  • FileStream and Collation Properties

Ch 6 : CONSTRAINTS,INDEXES Basics

  • 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 and 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 10: VIEW, SPs, Function Basics

  • Views : Types, Usage in Real-time
  • System Predefined Views and Audits
  • Listing Databases, Tables, Schemas
  • Functions : Types, Usage in Real-time
  • Scalar, Inline and Multi-Line Functions
  • System Predefined Functions, Audits
  • DBId, DBName, ObjectID, ObjectName
  • Variables & Parameters in SQL Server
  • Procedures : Types, Usage in Real-time
  • User & System Predefined Procedures
  • Parameters and Dynamic SQL Queries
  • Sp_help, Sp_helpdb and sp_helptext
  • sp_pkeys, sp_rename and sp_help
  • Important System Objects and Metadata

Ch 3: SSMS Tool, SQL BASICS - 1

  • SQL Server Management Studio
  • Local and Remote Connections
  • System Databases: Master and Model
  • MSDB, TempDB, Resource Databases
  • Creating Databases : Files [MDF, LDF]
  • Creating Tables in User Interface
  • Data Insertion & Storage. Limitations
  • SQL : Purpose and Real-time Usage
  • SQL Versus T-SQL : Basic Differences
  • DDL, DML, SELECT, DCL and TCL
  • Creating Tables using SQL Scripts
  • Data Storage, Inserts - Basic Level
  • Table Data Verifications with Select
  • SELECT Statement for Table Retrieval

Ch 7: JOINS, T-SQL Queries : Level 1

  • JOINS - Table Comparisons Queries
  • INNER JOINS For Matching Data
  • OUTER JOINS For (non) Match Data
  • Left Outer Joins with Example Queries
  • Right Outer Joins with Example Queries
  • FULL Outer Joins - Realtime Scenarios
  • Join Queries with "ON" Conditions
  • Join Unrelated Tables in SQL Server
  • NULL, IS NULL Operators in Joins
  • CROSS JOIN and CROSS APPLY
  • CROSS JOIN Versus CROSS APPLY
  • One-way & Two Way Data Comparisons
  • Important Join Queries in T-SQL
  • Join Options: Merge, Loop, Hash

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
  • Open Transaction Scenarios & Cause
  • Query Blocking Scenarios @ Real-time
  • NOLOCK and READPAST Lock Hints

Ch 4: SQL BASICS - 2

  • Creating Databases & Tables in SSMS
  • Single Row Inserts, Multi Row Inserts
  • Rules for Data Insertion Statements
  • SELECT Statement @ Data Retrieval
  • SELECT with WHERE Conditions
  • Batch Concept and Go Statement
  • AND and OR Operators Usage
  • IN Operator and NOT IN Operator
  • Between, Not Between Operators
  • LIKE and NOT LIKE Operators
  • UPDATE Statement & Conditions
  • DELETE & TRUNCATE Statements
  • Logged and Non-Logged Operations
  • ADD, ALTER and DROP Columns
  • ALTER & DROP Table Statements

Ch 8: Group By, T-SQL Queries Level 2

  • GROUP BY Queries and Aggregations
  • Group By Queries with Having Clause
  • Group By Queries with Where Clause
  • Using WHERE and HAVING in T-SQL
  • Rollup : Usage and T-SQL Queries
  • Cube : Usage and T-SQL Queries
  • UNION and UNION ALL Operator
  • EXISTS Operator, Query Conditions
  • Sub Queries and Alternatives to Joins
  • Using Joins with Group By Queries
  • Using Joins with Nested Sub Queries
  • Sub Queries with Joins and Group By
  • Using UNION and UNION ALL in Queries
  • Nested Sub Queries with Group By, Joins
  • Comparing WHERE, HAVING Conditions

Ch 12 : ER MODELS, NORMAL FORMS

  • Normal Forms for Entity Relationships
  • First Normal Form and Atomocity
  • Second Normal Form, Candidate Keys
  • 3rd Normal Form Multi Value Dependancy
  • Boycee-Codd Normal Form : BNCF
  • Fourth Normal Form Realtime Advantages
  • Self Joins & Self Reference Keys
  • 1:1, 1:M, M:1, M:M Relationship Types
  • Joins with Group By Queries
  • Joins with Sub Queries, Formating
  • Office Data Connections, Excel Reports
  • Excel Pivot Reports and Reports
  • SQL Queries (Auto Generated) in BI Tools
  • FETCH OFFSET, NEXT ROWS, Order By
  • Data Refresh (Manual and Automated)
Real-time Case Study - 1 (Sales & Retail)
Objective : Database Design, Table Design and Relations.
Involves Purchases, Products, Customers and Time Data with Various Data Types.
Real-time Case Study - 2 (Sales & Retail)
Objective : Queries, Excel Integration
Pivot Tables, Pivot Charts, ODC Connections

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