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Course Highlights

Complete Real-time and Practical Azure DevOps Training with Real-time Scenarios. This Azure DevOps Training includes Basic to Advanced DevOps Concepts and SDLC Implementation in Azure Platform. This Azure DevOps Training course also includes Azure Fundamentals, Azure Active Directory, Azure Storage, Azure Services, Docker and kubernetes Containers.
This Azure DevOps Training course also incldues Azure Work Item Process Types: Basic, Agile, Scrum and CMMI with Kanban Boards, Queries, CI / CD Pipelines, Integrations, Azure Repos, Azure Test Cases, Azure Artifacts, Git and VSTS Integrations with Azure DevOps Service and Azure DevOps Server.

Course Content

Azure DevOps
Training Course Contents:

Module 1 : SQL Server & T-SQL Queries [For Plans B, C]


  • 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


  • 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 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
  • Creating Tables using SQL Scripts
  • Data Storage, Inserts – Basic Level
  • Table Data Verifications with Select
  • SELECT Statement for Table Retrieval

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 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


  • Constraints and Keys – Data Integrity
  • NULL, NOT NULL Property on Tables
  • UNIQUE KEY Constraints: Importance
  • PRIMARY KEY Constraint: Importance
  • FOREIGN KEY Constraint: Importance
  • 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 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
  • One-way & Two Way Data Comparisons
  • Important Join Queries in T-SQL
  • Join Options: Merge, Loop, Hash

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


  • 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
  • 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 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 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


  • 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
  • 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

Module 2: Azure DevOps Training Content [For Plans A, B, C]

Azure Funda & DevOps Basics

Ch 1. Azure DevOps Introduction

  • DevOps : Introduction and Usage
  • Software Development Life Cycle
  • Analysis, Design and Implementation
  • Testing, Deployment & Maintenance
  • Advantages of SDLC inSoftware
  • SDLC Implementation Techniques
  • Waterfall Method & Advantages
  • Agile Software Development Method
  • Need for DevOps Implementations
  • Need for Azure DevOps Implmentation
  • Azure DevOps : Phases, LifeCycle
  • Continious Integration and Testing
  • Continious Deployment, Monitoring

Ch 2. Azure DevOps Org & Security

  • Azure Account Registartion & Logins
  • Azure Account Operations in Portal
  • DevOps Organization Creation
  • Organization Layout, Unique Names
  • Organization Entities: Projects, Users
  • Billing, Auditting, Notifications, Usage
  • Azure Active Directory Concepts
  • Azure AD Users : Creation & Use
  • Azure AD Groups : Creation & Use
  • AAD Concepts with Azure DevOps
  • Security Operations with Azure AD
  • Linking Azure AD Users to DevOps
  • Tenant Creation and Real-time Use

Ch 3. Azure DevOps Projects, Boards

  • Azure DevOps Organizations, Projects
  • Azure DevOps Projects: Entities
  • Teams, Boards, Repos, Pipelines
  • Test Plans and Artifacts in Projects
  • Work Item: Tasks, Bugs & Test Cases
  • Azure DevOps Work Item Types (WIT)
  • Overview of Basic and Agile WIT
  • Overview of CMMI and SCRUM
  • Inherited Proces, Version Controls
  • Project Creation and Project Types
  • Azure DevOps Project Creation, Security
  • Project Level Operations, Azure Boards
  • Basic Vocabulary: Items, Epic, Issue

Ch 4. Basic Work Item, Azure Boads

  • Work Item Concept: Basic WIT
  • Epics, Issues and Tasks in WIT
  • Organizing and Tracking WIT
  • ToDo, Doing and Done Tasks
  • Backlog Process: Started / Compelted
  • Epic Creation and Properties
  • Issue Creation and Properties
  • Kanban Boards and WIT Reports
  • Epic and Issue Verifications
  • Assigned To, Priority and State
  • Layout Changes in Azure DevOps
  • Task Completion, State History
  • Activity Checks, Links, Attachments

Ch 5: Azure Boards: Backlogs, Sprints

  • Backlogs and Sprints in Basic Type
  • Product Backlog & Sprint Backlog
  • Create Work Item : Epic & Issue
  • Backlogs: Creation, Title, Assign To
  • Setting Priority and Add Task
  • Add Issue, New Work Items
  • User Stories and Effort Estimate
  • Azure Boards: Queries and Audits
  • Listing Items and Work Reviews
  • Triage and Charts (Dashboards)
  • Parent – Child Related Work Items
  • Assigned To Me and Followed By

Ch 6: Work Item : Agile Process

  • Agile Work Item Process Usage
  • Epic, Feature, User Story, Task
  • Bug and Work Item Levels
  • Portfolio Level, Backlog Level
  • Issue and Bug Level in Agile
  • Feature, User Story and Tasks
  • Adding Users to Backlogs, Tests
  • Backlogs, Tests, Test Plans in Agile
  • Test Suite and Test Cases in Agile
  • Agile Work Flow and Glossary
  • Work Item Status in Agile: New
  • Active, Closed and Resolved Status

Azure DevOps Service – 1

Ch 7: CMMI Process and Workflow

  • Azure Boards with CMMI Process
  • Analysis, Design, Implemention Phases
  • Testing & Support Phases in CMMI
  • Work Item Types: Epic, Bug, Feature
  • Change Request, Issue, Requirement
  • Tasks, Reviews, Risk and Test Cases
  • Work Item field index page
  • Activity, Triage, Committed, Blocked
  • Subject Matter Expert (SME), Tasks
  • State, Triage and Commtted Fields
  • Assigned To, User Acceptance Tests
  • Origina Estimate, Time Criticality

Ch 8: Scrum Work Item Process

  • Scrum Work Item Process, Usage
  • Epics, Backlogs, Bugs and Tasks
  • Approve, Commit, Work Status
  • Work Completed / Work Stopped
  • Move / Remove Backlog Items
  • Task Level Work Items in DevOps
  • PBI and Bugs in Scrum Process
  • Tracking Impediments, Hierarchy
  • Implementing Scrum Process Item
  • Assigning, Securing Scrum Items
  • Limitations with Scrum Process
  • Comparing Work Item Process

Ch 9: Inherited Work Item Process

  • Limitations with System Processes
  • Need for Inherited Work Items
  • Creating and Using Inherited Items
  • Creating New Projects and Items
  • Default Process and Clone Options
  • Security Roles: Administrator
  • Delete and Edit Process Roles
  • Creating Organizations & Projects
  • Creating New Work Items & Epics
  • Descriptions, Groups and Fields
  • Layouts and Options with Items
  • Removing WIT, Project & Org

Ch 10: Kanban Boards, Customization

  • Kanban Boards for Process Reports
  • Cards : Epic / Issue Status Tracking
  • Backlog, Active, Resolved, Closed
  • Define Work Items and Tracking
  • Product & Portfolio Kanban boards
  • Swimlanes: Creation and Usage
  • Work-in-Progress (WIP) Limits
  • Work in Progress Limits & Usage
  • Highlight Cards, Define Style Rules
  • Customizing Kanban Boards
  • Customize Fields & Styles in Kanban
  • Splits, Tags, Card Order, Burn Down

Ch 11: Azure Repos, Version Control, Git

  • Version Control Systems (VCS)
  • Create workflows, Work with versions
  • Code together, Version Synchronize
  • Team Foundation Version Control
  • GIT : A Distributed System & use
  • Work Stations and Remote Repos
  • Git Installation, Repos, git init, git add
  • git commit, git status, git config
  • git branch, git checkout, git merge
  • git remote, git clone, git push
  • git push, git stash, git log, git rm
  • Remote Repos (GitHub & Bitbucket)

Ch 12: Azure Repos and Branching

  • Azure Repos : Configurations, Usage
  • Azure git Inititalization, Limitations
  • Need for Tortoise Git, Advantages
  • git add –all command and Options
  • git commit -m, git push, git add
  • git pull and Merging / Branching
  • Tortoise Git: Installation, Usage
  • Cloning with Tortoise git, Uploads
  • Azure Repos: Branching Concept
  • git branch and changesets in VCS
  • Branching: Features & Advantages
  • git branch, git checkout Operations

Azure DevOps Service – 2 Azure DevOps Server

Ch 13: Visual Studio with Azure Repos

  • Using Visual Studio for Azure Repos
  • Version Control with Visual Studio
  • Team Explorer and Cloning Options
  • Git Changes, Branching & Merging
  • Synchronization with Azure Repos
  • Push / Pull and Commit Options
  • Azure Pipelines and Real-time Use
  • Version Controls & Deployments
  • Azure Pipeline Process, Monitoring
  • Azure Pipelie Advantages, Pricing
  • CI & CD Pipelines, CI/CD Tools
  • Azure Pipeline Types & Targets

Ch 14: Continous Integration (CI)

  • Continous Integration (CI) & Builds
  • Build Pipelines in Azure DevOps
  • Local Development and Builds
  • Git Version Controls / Visual Studio
  • Azure DevOps Service, Azure Repo
  • Working with CI Pipelines in Realtime
  • Azure SQL Database Projects
  • DACPAC Files : Creation and Tests
  • Visual Studio Builds and Locations
  • Git Configuration and Commits
  • Continious Integration Options
  • Running CI Pipelines in Azure DevOps

Ch 15: Release Pipelines in Azure DevOps

  • Release Pipelines : Creation, Usage
  • Continous Delivery and Deployments
  • Pre-Production and Production Stages
  • Working of Release Pipelies in Azure
  • Pre Deployment, Queue and Agents
  • Artifacts and Run Deployment Tasks
  • Release Pipelines and Jobs in Azure
  • Cloud Deployments in Real-time
  • SQL Database Deployments in Azure
  • Creating Releases, Linking Artifacts
  • Creating Jobs and Execution Context
  • Post Deployment & Script Verification

Ch 16: Azure and Power BI Pipelines

  • DevOps Pipelines for Azure Resources
  • Creating Classic Model Pipelines
  • Creating New Jobs and Steps
  • Creating Resource Groups, Parameters
  • Data Factory Operations & Pipelines
  • Commenting and Running Pipelines
  • LIVE Metrics and Log Reports (RAW)
  • Power BI with Azure DevOps
  • Power BI Parameters, Azure Pipelines
  • Pipeline Runs in Dev, Test and Prod
  • Query Caching, Document CS, Actions
  • Builds, Artifact Stating Directories

Ch 17: Containers in Azure DevOps

  • Containerization Concepts, Uses
  • Comparing VMs and Containers
  • Advantages of Containers over VM
  • Prepacked Entities and Dockers
  • Security Advantages with Containers
  • Using Containers in Azure DevOps
  • Azure Containers & Kubernetes
  • Dev and Test Environments
  • Docker Hub and App Installations
  • Docker Container Engine and Use
  • Docker Architecture, Docker Daemons
  • Docker Containers & Registries Usage

Ch 18: DevOps Server – Configurations

  • Azure DevOps Server – Advantages
  • On-Premise Configurations for Server
  • Code Share, Track Work and Shipping
  • Visual Studio Team Fundation Server
  • Azure DevOps Server – Installation
  • Criterion for Azure DevOps Server
  • SQL Server Installation for DevOps
  • Database Engine, FullText Search
  • Creating Projects in DevOps Server
  • Creating Work Items and Processes
  • Work Item Tracking and Reports
  • Real-time Usage with DevOps Server

Module 3: Power BI Training Content

Part 1: Power BI Report Design


  • 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


  • 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
  • CSV and PDF Exports. Tooltips
  • Power BI EcoSystem, Architecture

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 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 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 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

Part 2: ETL, Data Modeling, DAX


  • 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


  • 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


  • 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 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
  • Dynamic Expressions, IF in DAX

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
  • Entity Sets and Slicing in DAX
  • Dynamic Expressions, RETURN
  • Date, Time and Text Functions
  • Logical, Mathematical Functions
  • Running Total & EARLIER Function

Ch 12 : DAX FUNCTIONS Level 3

  • 1:1, 1:M and M:1 Relations
  • Connection with CSV, MS Access
  • DIVIDE, CALCULATE, Conditions
  • IF..ELSE..THEN Statement
  • SUM, DATEDIFF Examples in DAX
  • Time Intelligence Functions – DAX

Part 3: Power BI Cloud, Admin

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 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 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 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 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


  • 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 Requirements, Analysis
  • Cloud and Report Server
  • Project FAQs and Solutions

Azure DevOps Training Plans

Plan A

1. Azure DevOps

Plan B

1. SQL Server TSQL
2. Azure DevOps

Plan C

1. SQL Server TSQL
2. Power BI
3. Azure DevOps
Course Duration4 Weeks7 Weeks11 Weeks
Azure DevOps Benefits
SDLC, Dev & Operations, DevOps
DevOps Tools, Git & GitHub
Docker, Kubernetes, AzureDevOps
Azure Boards, Azure Repos
Azure Testing, Azure Artifacts
Azure Pipelines (CI, CD)
SQL : Basic SQL, SQL Server Concepts
T-SQL : Queries, Joins, Group By
T-SQL : Queries, SProcs, Lock Hints
T-SQL: Queries, Normal Forms, Excel
Power BI: Report Design, Visuals
Power BI: Report Design, Visuals
Power BI: Power Query & ETL
Power BI: Data Modelling @ DAX
Power BI: Cloud, Excel Analyzer
Power BI: Mobile, R, REST API
Total Course Fee*INR 12000USD 150INR 17000USD 200INR 22000USD 315

SQL Server & T-SQL Schedules

S NoTime (IST, Mon - Fri)Start DateRegister
16 AM - 7 AMMay 15thRegister
28 AM - 9 AMApr 30thRegister
310:30 AM - 11:30 AMMay 28thRegister
46 PM - 7 PM May 7thRegister
58 PM - 9 PMMay 21stRegister
69 PM - 10 PMApr 23rdRegister

Azure DevOps Training Schedules

S NoTime (IST, Mon - Fri)Start DateRegister
16 AM - 7:30 AM (W)Mar 16thRegister
17 PM - 8:30 PM (W)Mar 16thRegister

Power BI Training Schedules

S NoTime (IST, Mon - Fri)Start DateRegister
18 AM - 9 AMMay 28thRegister
26 PM - 7 PM June 4thRegister
38 PM - 9 PMApr 29thRegister

"*" indicates required fields



24x7 LIVE Online Server (Lab) with Real-time Databases.
Course includes ONE Real-time Project.

Technical FAQs

Who is SQL School? How far you have been in the training services ?

SQL School is a registered training institute, established in February 2008 at Hyderabad, India. We offer Real-time trainings and projects including Job Support exclusively on Microsoft SQL ServerT-SQLSQL Server DBA and MSBI (SSISSSASSSRS) Courses. All our training services are completely practical and real-time.CREDITS of SQL School Training Center

  • We are Microsoft Partner. ID# 4338151
  • ISO Certified Training Center
  • Completely dedicated to Microsoft SQL Server
  • All trainings delivered by our Certified Trainers only
  • One of the few institutes consistently delivering the trainings for more than 8+ Years online as inhouse
  • Real-time projects in
    • Healthcare
    • Banking
    • Insurance
    • Retail Sales
    • Telecom
    • ECommerce

I registered for the Demo but did not get any response?

Make sure you provide all the required information. Upon Approval, you should be receiving an email containing the information on how to join for the demo session. Approval process usually takes minutes to few hours. Please do monitor your spam emails also.

Why you need our Contact Number and Full Name for Demo/Training Registration?

This is to make sure we are connected to the authenticated / trusted attendees as we need to share our Bank Details / Other Payment Information once you are happy with our Training Procedure and demo session. Your contact information is maintained completely confidential as per our Privacy Policy. Payment Receipt(s) and Course Completion Certificate(s) would be furnished with the same details.

What is the Training Registration & Confirmation Process?

Upon submitting demo registration form and attending LIVE demo session, we need to receive your email confirmation on joining for the training. Only then, payment details would be sent and slot would be allocated subject to availability of seats. We have the required tools for ensuring interactivity and quality of our services.

Please Note: Slot Confirmation Subject to Availability Of Seats.

How am I assured quality of the services?

We have been providing the Trainings – Online, Video and Classroom for the last EIGHT years – effectively and efficiently for more than 100000 (1 lakh) students and professionals across USA, India, UK, Australia and other countries. We are dedicated to offer realtime and practical project oriented trainings exclusively on SQL Server and related technologies. We do provide 24×7 Lab and Assistance with Job Support – even aftrer the course! To make sure you are gaining confidence on our trainings, participans are requested to attend for a free LIVE demo based on the schedules posted @ Register.html. Alternatively, participants may request for video demo by mailing us to Registration process to take place once you are happy with the demo session. Further, payments accepted in installments (via Paypal / Online Banking) to ensure trusted services from SQL School™

YES, We use Enterprise Edition Evaluation Editions (Full Version with complete feature support valid for SIX months) for our trainings. Software and Installation Guidance would be provided for T-SQL, SQL DBA and MSBI / DW courses.

Why Choose SQL School

  • 100% Real-Time and Practical
  • ISO 9001:2008 Certified
  • Concept wise FAQs
  • TWO Real-time Case Studies, One Project
  • Weekly Mock Interviews
  • 24/7 LIVE Server Access
  • Realtime Project FAQs
  • Course Completion Certificate
  • Placement Assistance
  • Job Support
  • Realtime Project Solution
  • MS Certification Guidance

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