No. SQL is taught from basics in Plans B and C, leading into MSBI topics with step-by-step hands-on tasks.
MSBI (Microsoft Business Intelligence) is an All-in-one solution for end-to-end data analysis and reporting. It includes SSIS for data integration, SSAS for data modeling, and SSRS for reporting and visualization. Learning MSBI can land you in demand roles like BI Developer, Data Analyst, and Report Developer.
✅ ETL & Data Migration
✅ Tabular Model Cubes
✅ Data Modeling, Reports
✅ Star/Snowflake Schema
✅ KPIs, DAX, MDX
✅ Deployments
✅ Paginated Reports
✅ Tuning & Partitioning
✅ Real Time Project
✅ 1:1 Mentorship, Resume
Module 1 : Microsoft SQL (TSQL)
Ch 1: BI Job Roles
- Introduction to Data
- MSBI Job Roles
- MSBI Developer Scope
- End to End WorkFlow
Ch 2: Database Intro & Installations
- Database Types (OLTP, DWH, ..)
- DBMS: Basics
- SQL Server 2025 Installations
- SSMS Tool Installation
- Server Connections, Authentications
Ch 3: SQL Basics V1 (Commands)
- Creating Databases (GUI)
- Creating Tables, Columns (GUI)
- SQL Basics (DDL, DML, etc..)
- Creating Databases, Tables
- Data Inserts (GUI, SQL)
- Basic SELECT Queries
Ch 4: SQL Basics V2 (Commands, Operators)
- DDL : Create, Alter, Drop, Add, modify, etc..
- DML: Insert, Update, Delete, select into, etc..
- DQL: Fetch, Insert… Select, etc..
- SQL Operations: LIKE, BETWEEN, IN, etc..
- Special Operators
Ch 5: Data Types
- Integer Data Types
- Character, MAX Data Types
- Decimal & Money Data Types
- Boolean & Binary Data Types
- Date and Time Data Types
- SQL_Variant Type, Variables
Ch 6: Excel Data Imports
- Data Imports with Excel
- SQL Native Client
- Order By: Asc, Desc
- Order By with WHERE
- TOP & OFFSET
- UNION, UNION ALL
Ch 7: Schemas & Batches
- Schemas: Creation, Usage
- Schemas & Table Grouping
- Real-world Banking Database
2 Part, 3 Part & 4 Part Naming
Batch Concept & “Go” Command
Ch 8: Constraints, Keys & RDBMS – Level 1
- Null, Not Null Constraints
- Unique Key Constraint
- Primary Key Constraint
- Foreign Key & References
- Default Constraint & Usage
- DB Diagrams & ER Models
Ch 9: Normal Forms & RDBMS – Level 2
- Normal Forms: 1 NF, 2 NF
- 3 NF, BCNF and 4 NF
- Adding PK to Tables
- Adding FK to Tables
- Cascading Keys
- Self Referencing Keys
- Database Diagrams
Ch 10: Joins & Queries
- Joins: Table Comparisons
- Inner Joins & Matching Data
- Outer Joins: LEFT, RIGHT
- Full Outer Joins & Aliases
- Cross Join & Table Combination
- Joining more than 2 tables
Ch 11: Views & RLS
- Views: Realtime Usage
- Storing SELECT in Views
- DML, SELECT with Views
- RLS: Row Level Security
- WITH CHECK OPTION
- Important System Views
Ch 12: Stored Procedures
- Stored Procedures: Realtime Use
- Parameters Concept with SPs
- Procedures with SELECT
- System Stored Procedures
- Metadata Access with SPs
- SP Recompilations
- Stored Procedures, Tuning
Ch 13: User Defined Functions
- Using Functions in MSSQL
- Scalar Functions in Real-world
- Inline & Multiline Functions
- Parameterized Queries
- Date & Time Functions
- String Functions & Queries
- Aggregated Functions & Usage
Ch 14: Triggers & Automations
- Need for Triggers in Real-world
- DDL & DML Triggers
- For / After Triggers
- Instead Of Triggers
- Memory Tables with Triggers
- Disabling DMLs & Triggers
Ch 15: Transactions & ACID
- Transaction Concepts in OLTP
- Auto Commit Transaction
- Explicit Transactions
- COMMIT, ROLLBACK
- Checkpoint & Logging
- Lock Hints & Query Blockin
- READPAST, LOCKHINT
Ch 16: CTEs & Tuning
- Common Table Expression
- Creating and Using CTEs
- CTEs, In-Memory Processing
- Using CTEs for DML Operations
- Using CTEs for Tuning
- CTEs: Duplicate Row Deletion
Ch 17: Indexes Basics, Tuning
- Indexes & Tuning
- Clustered Index, Primary Key
- Non Clustered Index & Unique
- Creating Indexes Manually
- Composite Keys, Query Optimizer
- Composite Indexes & Usage
Ch 18: Group By Queries
- Group By, Distinct Keywords
- GROUP BY, HAVING
- Cube( ) and Rollup( )
- Sub Totals & Grand Totals
- Grouping( ) & Usage
- Group By with UNION
- Group By with UNION ALL
Ch 19: Joins with Group By
- Joins with Group By
- 3 Table, 4 Table Joins
- Join Queries with Aliases
- Join Queries & WHERE
- Join Queries & Group By
- Joins with Sub Queries
- Query Execution Order
Ch 20: Sub Queries
- Sub Queries Concept
- Sub Queries & Aggregations
- Joins with Sub Queries
- Sub Queries with Aliases
- Sub Queries, Joins, Where
- Correlated Queries
Ch 21: Cursors & Fetch
- Cursors: Realtime Usage
- Local & Global Cursors
- Scroll & Forward Only Cursors
- Static & Dynamic Cursors
- Fetch, Absolute Cursors
Ch 22: Window Functions, CASE
- IIF Function and Usage
- CASE Statement Usage
- Window Functions (Rank)
- Row_Number( )
- Rank( ), DenseRank( )
- Partition By & Order By
Ch 23: Merge(Upsert) & CASE, IIF
- Merge Statement
- Upsert Operations with Merge
- Matched and Not Matched
- IIF & CASE Statements
- Merge Statement inside SPs
- Merge with OLTP & DWH
Ch 24: Key Take-Aways from Module 1
- Case Study 1: Medicare: Tasks, Solutions
- Case Study 2: ECommerce: Task, Solutions
- Chapter Wise Assignments: Solutions
- Dailly Assignments: Review (Feedback)
- Weekly Mock Interview: Feedbacks
Module 2: MSBI (SSIS)
Ch 1: MSBI Introduction
- Need for MSBI: IS, AS, RS
- ETL & DWH Fundamentals
- Need for SSIS & ETL
- SSIS DB Catalog
- SSDT Tool Installation
- SSDT Environment, Use
Ch 2: SSIS Basic Packages
- SSIS Basic Package Design
- Control Flow & Data Flow
- SSIS Package Executions
- DAT File Imports
- Package Logs, Errors
- SSIS Debug Controls
Ch 3: Merge & Fuzzy Lookup
- Merge & Union All
- Sort, NoSort & Blocking
- Data Cleansing Operations
- Conditional Split Transformation
- Thresholds & Redirections
- Fuzzy Search & Delimiters
Ch 4: Checkpoints, Pivot
- SSIS Checkpoint Process
- Transaction Options in SSIS
- Checkpoint Files, Usage
- Pivot Operations in SSIS
- Denormalization Concept
- Data Mapping & Lineage
Ch 5: Events, Loops, Expressions
- SSIS Events and Audits
- SSIS Logs and Auditing
- Debugging Techniques
- SSIS Variables
- SSIS Parameters
- Expressions and ETL, DWH
Ch 6: DWH Data Loads
- OLTP Data Reads
- ETL Process, DWH Data Loads
- SCD Technique in ETL
- Data Delta & History
- Connection Assistants Reuse
- Parent – Child Packages
Ch 7: Checksum Transformation
- SSIS Checkpoint Process
- Transaction Options in SSIS
- Transformation Logic
- Checksum For Type I, Type II
- Cache Transformation
- Internal Parameters and Query Updates
Ch 8: CDC Transformations for DWH
- CDC Tables with SQL Server Connections
- CDC Connections & NET Integration
- CDC Control Flow and CDC State Values
- State Variables, Net Changes, Logging
- Initial & Incremental Dimension Loads
- Parameter Mapping For ETL Type1, Type2
- Master Child Packages, Parameter Binding
Ch 9: Fact Table Design, DWH Loads
- Fact Table – Design and ER Model
- DWH : STAR & SNOWFLAKE Schemas
- Time Dimensions and ETL Date / Time
- Parent-Child Packages for Fact Loads
- Inferred Members, Text Qualifiers
- Error Handling, Event Handling in SSIS
- Fact Load Design for Initial, Incr Loads
- End-to-End DWH Design Implementation
Ch 10: DWH MIGRATIONS, SCRIPT Task
- Data Warehouse Migrations with SSIS
- SSIS Containers, Pre-Database Migration Task
- Online and Offline DB Transfer Options
- Copy / Move with DWH Migrations
- SMTP and SQL Server Agent
- Data Profiling with NET
- XML Files & SSIS Data Profiler Tool
- Script Task & Variables, Parameters
- Read Only, Read Write Variable Expressions
- SQLDataAdapters & Data.SQLClient
Ch 11: SSIS DEPLOYMENTS, UPGRADES
- SSISDB Catalog Deployments, ISPAC Files
- Package Builds, Project Deployments
- SSIS DB Logs and DB Catalogs
- Package Executions
- Configurations & Parameter Management
- Package Jobs, Event Logs
- Project Migration Utilities, ISPAC Files
Ch 12: SSIS PROJECT [ECommerce Domain]
- SSIS ETL & DWH with STAR Schema
- SSIS ETL & DWH with SNOWFLAKE Schema
- Dimension Tables & Business Keys
- Fact Table & Data Integrity
- Incremental Data Loads with Containers
- Key Lookup and Staging Tables
- Master – Child Packages
- SSIS Package Deployment
Module 3: MSBI (SSAS)
Chapter 1: SSAS Tabular Mode Introduction
- Need for OLAP Databases and Cubes
- OLTP versus OLAP Databases
- DWH versus OLAP Databases
- Tabular Mode for OLAP Databases
- SQL Server (Instance) Installation
Chapter 2: Tabular Mode Cube Design
- Cube Architecture: BISM Model
- Measures and Aggregations in Cube
- Dimension Tables and Realtime Use
- Attributes (Columns) and Members
- Data Models, Data Imports, Data Source View
- Data Models: Entity Relationships
Chapter 3: Cube Objects
- OLAP Cube Design Concepts
- OLAP Cube Objects in Tabular Mode
- Grid View, Relation View
- Relationship Edits and Rules
- Hierarchies Usage for Data Analytics
- Perspectives, Excel Analytics, Cube Partition
- Grouping Entities – Snowflake Schema
Chapter 4: Data Models
- Data Models with OLAP Databases
- Dimensions & Fact Table Identification
- STAR Schema : Design Patterns
- SNOWFLAKE Schema : Design Patterns
- STAR Versus SNOWFLAKE Schemas
- OLTP Database Sources for OLAP
- Azure SQL Databases for OLAP
Chapter 5: Cube Deployment & MDX
- OLAP Cube Deployments
- Builds and Rebuilds – Output Results
- Cube Processing Modes
- In-Memory; Direct Query
- Cube Browser; XMLA Scripts
- MDX: ORDER, TOP, WHERE
- MEMBERS, FILTERS
Chapter 6: DAX Level 1
- DAX: Data Analysis Expressions
- Implementations of DAX in OLAP
- DAX Expressions, DAX Queries
- DAX Functions, Calculated Columns
- DAX Column for Cube Design
- ISBLANK() and IF()
- CALCUALTE (), SUM Functions
- Measures, Calculations
Chapter 7: DAX – Level 2
- DAX Functions
- Filter Functions in DAX
- ALL, ALLSELECTED
- ALLEXCEPT, CALCULATE
- CALCULATETABLE, FILTER
- LOOKUPVALUE, OFFSET
- ADDCOLUMNS & SUMMARIZE
- GROUPBY, DATATABLE
- UNION, EXCEPT, INTERSECT
- NATURALINNERJOIN; NATURALOUTERJOIN
Chapter 8: DAX – Level 3
- Logical Functions – IFERROR
- SWITCH; IF, AND, OR
- NOT, COALESCE
- USERPRINCIPALNAME
- USERELATIONSHIP
- Text Functions
- CONCATENATE, ROW
- SEARCH, REPT; MID, FIND, EXACT
Chapter 9: DAX – Level 4
- DAX Functions
- COUNTROWS, COUNTX, DISTINCTCOUNT
- COUNTBLANK, COUNTA
- MIN, MINA & MINX
- AVERAGE, AVERAGEA, AVERAGEX
- Parent & Child, PATHITEM
- PATHCONTAINS, PATHLENGTH
- SUM Vs SUMX
Chapter 10: DAX – Level 3
- Time Intelligence Functions
- PREVIOUSDAY, PREVIOUSMONTH
- FIRSTNONBLANK, NEXTMONTH
- PREVIOUSQUARTER
- TOTALMTD, TOTALQTD
- PARALLELPERIOD, OPENINGBALANCEMONTH
- CLOSINGBALANCEMONTH, CLOSINGBALANCEYEAR
Chapter 11: DAX – Level 4
- Date & Time Functions – CALENDAR
- CALENDARAUTO; DATE, DATEDIFF
- TIME; DATEVALUE, NOW; DAY
- EDATE, EOMONTH
- DAX Calculations with Joins
- KPI: Key Performance Indicator
- DAX Concepts: MDX Queries
- KPIs Versus DAX Calculations
- Translations & Cube Access
Chapter 12: Power BI Integrations
- OLAP Cubes with Power BI
- Import and Connect LIVE
- Cumulative Totals
- DAX shortcuts in Power BI
- MDX Queries, RLS: Row Level Security
Module 4: MSBI (SSRS), MSBI Project
Ch 1: SSRS INTRO, INSTALLATION
- Reporting Operations
- Paginated Reports, Interactive Reports
- Reporting Solutions and Tools
- Report Engine Architecture
- Report Databases, Web URLs
- SQL Server Data Tools (SSDT)
Ch 2: BASIC REPORT DESIGN
- SQL Server Data Tools
- Report Design (RDL),
- Query Designer, Query Builder
- Table, Matrix Reports
- Drilldown Reports, Multi Field Drilldowns
- Report Template, Table Headers
- Alternate Colors, Expressions
- IIF, Format, Ceiling, Round
- Date Format, Static/Dynamic
Ch 3: GROUPING, REPORT PARAMETERS
- Grouping : Row Groups, Column Groups
- Row Groups, Parent – Child Groups
- Group Headers & Footers
- Field Visibility, Row Group
- Column Groups, Drill-down Report
- Column Group, Column Headers
- Parameters, Dataset Conditions
- Dynamic Parameters, Dependency Queries
- List Values, SSRS Expressions
Ch 4: CHARTS, DASHBOARDS, FITLERS
- Chart Reports: Series Values, Groups
- Report Categories, Report Category
- Visualizations: Discrete Chart
- Clustered, Non Clustered Reports;
- Series Labels: Properties, Formatting
- Series Actions: Multi – Valued Parameters
- Report Filters; Dashboards
- Multiple Chart Areas, Dashboard Exports
- 3-Dimensional Report Properties
- Range Charts, Data Bars, Area Charts
Ch 5: EXPRESSIONS, SHARED DATASETS
- Shared Data Sources
- Date-Time Expressions with RDL
- FORMAT Function in SSRS
- Data Type Conversions
- Page Breaks in SSRS; LOOKUP Function
- Field Value Replacement with Datasets
- #VALX, #VALY, #PERCENT, #SERIES
- Funnel and Tree Map; 3D Funnel
Ch 6: REPORT BUILDER, GAUGES
- Report Builder Installation
- Data Source Creation with Report Builder
- Dataset Design with Parameters, Filters
- Toolbox Items Insertion and Properties
- Adhoc Reports with Column Groups
- Gauge Reports: End User Access
- Indicators, Pointers, Scale Ranges
Ch 7: REPORT BUILDER, MAP REPORTS
- Map Reports: ESRI Share Files
- SQL Server Data Sources
- Business Analysis Dashboards
- Polygon, Tile, Line and Point Map Layer
- Editing Report Builder Reports
- Report Deployments
Ch 8: REPORT MANAGEMENT
- Data Source Management
- Dependant Items, Security Operations
- Edit Shared Data Sources in Web Portal
- Shared Dataset, Report Edits
- Report Security: Browser Roles
- Report Tuning: Caching
- Report Snapshot, Schedules
- Email and File share Subscriptions
- Report Server Settings
- Report Timeout, Report Parts
- Report Builder Sub Reports
Ch 9: MOBILE, KPI, CUBE REPORTS
- Mobile Reports: Excel, Report Server
- Working with Mobile Report Publisher
- Elements Layout: Master, Tablet; Grids
- RSMobile Formats: Uploads, Downloads
- Report Builder Tool, KPI Reports
- KPI: Value, Goal, Status, Trend
- Cube Reports with SSAS MDX, DAX;
- SSAS OLAP Cube Actions with SSRS
MSBI Realtime Project:
- Project Requirements
- SDLC Life Cycle
- Entity Selection
- Understanding OLTP Databases
- Design of DWH: Data Warehouse Database
- SCD Techniques for ETL, Dimension Loads
- Fact Loads, STAR / SNOWFLAKE Schemas
- OLAP Databases for Data Analysis
- Cube Design and Operational Modes
- Excel Analysis and Reports with MDX
- DAX for Modelling, Cube Reports
- Paginated Reports with OLAP, DWH
Module 5: Power BI
Ch 1: Power BI Intro, Installation
- Power BI & Data Analysis
- 5 Design Tools, 3 Techniques
- 2 Hosting Solutions
- Power BI with Co-Pilot & AI
- Power BI Installation
Ch 2: Report Design Concepts
- Basic Report Design (PBIX)
- Get Data, Canvas (Design)
- Data View, Data Models
- Data Points, Spotlight
- Focus Mode, PDF Exports
Ch 3: Visual Interactions, PBIT
- Visual Interactions & Edits
- Limitations with Visual Edits
- Creating Power BI Templates
- CSV Exports & PBIT Imports
Ch 4: Grouping, Hierarchies
- Creating Groups : Lists
- Creating Groups: Bins
- List Items & Group Edits
- Bin Size & Bin Count
Ch 5: Slicer & Visual Sync
- Slicer Visual in Power BI
- Slicer: Format Options
- Single Select, Multi Select
- Slicer: Select All On / Off
- Visual Sync with Slicers
Ch 6: Hierarchies & Drill-Down
- Hierarchies: Creation, Use
- Hierarchies: Advantages
- Drill Up, Drill Down
- Conditional Drill Down
- Filtered Drill Down, Table View
Ch 7: Filters & Drill Thru
- Power BI Filters
- Basic, Top & Advanced
- Visual Filters, Page Filters
- Report Level Filters, Clear Filter
- Drill Thru Filters & Usage
Ch 8: Bookmarks, Buttons
- Power BI Bookmarks
- Images: Actions, Bookmarks
- Buttons: Actions, Bookmarks
- Page to Page NavigationsScore Cards, Master Pages
Ch 9: SQL DB Access & Big Data
- SQL DB Access, Queries
- Storage Modes: Direct Query
- Formatting & Date Time
- Storage Modes in Power BI
- Azure (Big Data) Access & Formatting
Ch 10: Power BI Visualizations
- Charts, Bars, Lines, Area
- TreeMaps & HeatMaps
- Funnel, Card, Multrow Card
- PieCharts & Waterfall
- Scatter Chart, Play Axis
- Infographics, Classifications
Ch 11: Power Query Introduction
- Power Query (Mashup)
- ETL Transformations in PBI
- Power Query Expressions
- Table Combine Options
- Merge, Union All Options
- Close, Apply & Visualize
Ch 12: Power Query : Table Tfns
- Table Duplicate, Header Promotion
- Group By Transformation
- Aggregate, Pivot Operation
- Reverse Rows, Count Rows
- Advanced Power Query Mode
Ch 13: Power Query: Column Tfn
- Any Column Transformations
- Data Type Detection, Change
- Rename, Replace, Move
- Fill Up, Fil Down
- Step Edits & Rollbacks
Ch 14: Power Query: Text, Date
- String / Text Transformations
- Split, Merge, Extract, Format
- Numeric and Date Time
- Add Column & Expressions
- Expressions and New Columns
- Column From Examples
Ch 15: Power Query: Parameters
- Parameters in Power Query
- Static Parameters, Defaults
- Dynamic Dropdowns, Lists
- Linking with Table Queries
- Step Edits, Type Conversions
Ch 16: Power BI Cloud: Publish
- Power BI Cloud Concepts
- Workspace Creation, Usage
- Report Publish Cloud
- Report Edits in Cloud
- Semantic Models & Usage
Ch 17: Power BI Cloud Dashboards
- Power BI Dashboards
- Dashboard Creation, Usage
- Pin Visuals, Pin LIVE Pages
- Add Image, Video Tiles
- Q&A & Pin Tiles
Ch 18: Power BI Cloud Operations
- Report Shares, Alerts
- Subscriptions, Exploration
- Downloads & Edits
- Report Cloning in Cloud
- QR Codes, Web Publish
- Lineage & Metrics
Ch 19: Power BI Cloud Gateways
- Data Gateways, Data Refresh
- Install, Configure Gateways
- Data Sources Configurations
- Data Refresh & Scheduling
- Gateway Optimizations
Ch 20: Power BI Cloud Apps
- Power BI Apps: Creation
- App Sections & Content
- Audience Options
- App Security & Sharing
- App Updates, Favourites
- App URL, End User Access
Ch 21: Power BI Report Server
- SQL Server 2025 (Mandatory Installations)
- Power BI Report Server
- Report Server Vs Cloud
- Installation, Configuration
- RS Config Tool Options
- Report Database, TempDB
- Web Service & Server URL
Ch 22: Paginated Reports
- Report Builder Tool
- Paginated Report (RDL)
- Report Expressions (RDL)
- Tablix, Chart Wizards
- Fields & Drill-Down
- RDL Report Publish
Ch 23: DAX Concepts (Basics)
- DAX Concepts: Intro & Realtime Need
- DAX Columns: Creation, Use
- DAX Measures: Creation, Use
- DAX Functions: IIF, ISBLANK
- SUM, CALCULATE Functions
- DAX Cheat Sheet
Ch 24: DAX Quick Measures
- Quick Measures in Power BI
- Average & Filters
- Running Totals
- Star Rating Calculations
- DAX Measures in Data View
- DAX in Visuals
- DAX in Cloud Reports
Ch 25: Data Modelling, DAX
- Dimensions Tables
- Fact Tables & DAX Measures
- Data Models & Relations
- DAX Expressions
- Star & Snowflake Schemas
- DAX Joins & Expressions
Ch 26: DAX Joins, Variables
- CALCULATEX & Variables
- COUNT, COUNTA, etc..
- SUM, SUMX, etc..
- SELECTED MEMEBER
- Filter Context, RETRUN
- Dynamic Report with DAX
Ch 27: DAX Time Intelligence
- Need for Time Intelligence
- Date Table Generation
- Time Intelligence with DAX
- PARALLELPERIOD, DATE
- CALENDAR, Total Functions
- YTD, QTD, MTD with DAX
Ch 28: DAX – Row Level Security
- RLS: Row Level Security
- Data Modelling & Roles
- Verify Roles (Testing)
- Add Cloud Users to Roles
- Dynamic Row Level Security
- Testing RLS in Power BI
Ch 29: Analytical Reports
- Analytical Report Concepts
- Excel Data Analytics
- Excel with Power BI Cloud
- SQL, AVRO, JSON Sources
- Analyse in Excel (Cloud)
- Excel Reports to Cloud
Ch 30: Power BI AI, CoPilot
- AI Components in Power BI
- CoPilot Practical Uses
- CoPilot with Desktop
- CoPilot with Cloud
- Need for AI Analytics (Fabric)
- PL 300 Exam (Microsoft Certified Data Analyst) Guidance
- PL 300 Exam Mocks
- Realtime Project 1 (ECommerce / Financial Analysis)
- Realtime Project 2 (Health Care / Banking)
What is the MSBI Training course?
MSBI Training covers SQL Server TSQL, SSIS, SSAS (Tabular Mode), SSRS, Data Warehouse concepts, ETL workflows, Azure integration, AI & CoPilot, and real-time project implementations.
Who should join the MSBI Training?
Freshers, Data Engineers, Data Analysts, BI Developers, SQL Developers, and professionals wanting to build strong skills in ETL, OLAP, reporting, and analytics.
What are the MSBI training plans available?
Plan A: MSBI Only
Plan B: SQL + MSBI
Plan C: SQL + MSBI + AI & CoPilot + Power BI
What SQL Server skills are included?
Database fundamentals, SQL commands, joins, views, CTEs, window functions, merge, indexing, triggers, stored procedures, temp tables, query tuning, remote joins, and 3 real-time case studies.
Does the course include SSIS (Integration Services)?
Yes. SSIS covers ETL concepts, control flow, data flow, checkpoints, merge, fuzzy lookup, transformations, loops, variables, logging, SCD, DWH loads, deployments, and a full real-time ETL project.
What SSIS transformations will I learn?
Merge, Merge Join, Union All, Fuzzy Lookup, Pivot, Derived Columns, Lookup with redirects, CDC, checksum transformations, audits, and dynamic mappings.
Does the course include Data Warehouse concepts?
Yes. Fact and dimension tables, star schema, snowflake schema, SCD types, parent-child ETL flows, inferred dimensions, business keys, and design best practices.
What SSAS topics will be covered?
Tabular Mode introduction, cube design, dimensions, measures, hierarchies, perspectives, calculated columns, DAX expressions (Level 1 to 6), and cube deployment.
Will I learn DAX in SSAS?
Yes. DAX basics, filtering, table functions, LOOKUP, unions, calculation groups, parent-child paths, aggregation logic, time intelligence (YTD, MTD), KPIs, and join calculations.
Does the training include SSRS (Reporting Services)?
Yes. Report building, datasets, expressions, grouping, parameters, charts, lookup functions, drilldowns, filters, map reports, mobile reports, KPIs, and Azure deployment.
Do you teach SSRS expressions and advanced reporting?
Yes. LOOKUP, JOINs, formatting, conversions, shared datasets, trend lines, multi-series visuals, subscriptions, caching, and RDL expressions are all included.
Is there a real-time MSBI project in the training?
Yes. End-to-end project including ETL design, SSAS modelling, SSRS dashboards, Azure deployment, security roles, tuning, and performance optimization.
Does the course include Azure and cloud integrations?
Yes. Azure deployment for SSRS, OLAP integrations, cloud storage connections, gateway usage, and BI cloud workflows.
Will I learn AI & CoPilot with Power BI?
Yes, in Plan C. You will learn AI-driven analytics, CoPilot for Power BI Desktop & Cloud, DAX assistance, and automation-driven analytics.
Is the training beginner-friendly?
Yes. Topics start from fundamental concepts of SQL, ETL, DWH, and gradually build toward advanced SSIS, SSAS, SSRS, and Power BI workflows.
What practical skills will I gain from MSBI?
You will learn ETL development, data modelling, OLAP cube design, DAX analytics, enterprise reporting, SSIS debugging, SSRS administration, and deployment.
What job roles can I apply for after completing this course?
MSBI Developer, SSIS Developer, SSRS Report Developer, SSAS Analyst, ETL Developer, BI Analyst, Data Analyst, SQL Developer, and DWH Engineer.
Do you offer resume and interview preparation?
Yes. Resume building, interview questions, real-time project discussions, mock interviews, and job assistance are included.
What are the training modes available?
Live Online Training, Self-Paced Videos, Corporate Batches, 1-on-1 support, detailed notes, practical classes, and free demo sessions with the trainer.
Placement Partners
SQL SCHOOL
24x7 LIVE Online Server (Lab) with Real-time Databases.
Course includes ONE Real-time Project.
#Top Technologies
Why Choose SQL School
- 100% Real-Time and Practical
- ISO 9001:2008 Certified
- Weekly Mock Interviews
- 24/7 LIVE Server Access
- Realtime Project FAQs
- Course Completion Certificate
- Placement Assistance
- Job Support