Power BI Online Training (LIVE, Practical, Interactive)

Complete Real-time and Practical Power BI Training with Real-time Scenarios. Power BI is a cloud-based, elegant end-to-end business analytics tool that enables anyone to visualize, analyze, forecast any type of data with greater speed, efficiency, and understanding.

This Power BI Online Training includes EVERY detail of each Power BI Visual, Usage and Properties as per the latest versions. This Power BI course includes On-premise and Cloud Data Access, REST API, Azure Stream and R Integration including Data Modelling and ETL Techniques with Basic to Advanced Power Query (M Language), DAX Language Functions, Power BI Dashboards, Streaming Datasets, App Workspace, Content Packs, Data Gateways, Alerts, Power BI Report Server Components, Power BI Mobile Reports, Excel Integration, Excel Analysis, KPIs for Big Data Analytics, DataFlows and Microsoft PL 300 Certification are also a part of this Power BI Online Training course in addition to Mock Interviews, Resume Guidance, Concept wise Interview FAQs and ONE Real-time Project.

Power BI Training (with DAX, Power Query, Cloud, Report Server Admin)

  PLAN A PLAN B PLAN C
Course includes Power BI T-SQL,
Power BI
T-SQL, Power BI,
Azure Data Engineer
Total Duration 4 Weeks 7 Weeks 14 Weeks
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
PL 300 Exam Guidance
Real-Time Project in Power BI
SQL Database, T-SQL Queries
Normal Forms, Joins, Query Tuning
Sub Queries, Stored Procedures
Excel Pivot Tables, Pivot Charts
ADF : Azure Data Factory
ADF : Data Imports, ETL
ADF : Data Flows, Wrangling
ADF : Transformations, ETL
Synapse: Configuration, Loads
Synapse: ETL with ADF, DWH
Synapse: Performance Tuning
Synapse: MPP, cDWH, DIUs
ADB : Azure Data Bricks
ADB : Architecture, Data Loads
ADB : Workspace, Delta Tables
DP 203 Certification Guidance

Trainer: Mr.Sai Phanindra (17+ Yrs of Exper)

All Session Are Completely Practical & Real Time


SQL Server & T-SQL Schedules
S No Time (IST, Mon - Fri) Start Date  
1 6 AM - 7 AM June 27th Register
2 8 PM - 9 PM July 12th Register
3 9 PM - 10 PM June 8th Register
4 11 PM - 12 AM June 19th Register
Power BI Training Schedules
S No Time (IST, Mon - Fri) Start Date  
5 8 AM - 9 AM July 19th Register
6 8 PM - 9 PM June 20th Register
7 12 AM - 1 AM July 4th Register
Azure Data Engineer Training Schedules
S No Time (IST, Mon - Fri) Start Date  
8 1 AM - 2 AM June 13th Register
9 7 AM - 8 AM June 13th Register
10 7 PM - 8 PM June 5th Register

If above schedules does not work for you, please register for Power BI Training Videos

TRAINING HIGHLIGHTS

Custom Visuals Power BI Mobile
Big Data Sources R, Python, JSON
Excel Analysis Excel Online
Google Big Query Report Server
Gateways, Rest API Power BI Admin
✔ Tabular Mode ✔ Data Models
✔ Tabular Mode OLAP ✔ Tabular Mode DAX
✔ Cube Design ✔ Excel Analytics

Power BI Training Course Contents:

Ch 1: DATABASE INTRODUCTION

  • Data, Databases and RDBMS Software
  • Database Types : OLTP, DWH, OLAP
  • Microsoft SQL Server Advantages, Use
  • Versions and Editions of SQL Server
  • SQL : Purpose, Real-time Usage Options
  • SQL Versus Microsoft T-SQL [MSSQL]
  • Microsoft SQL Server - Career Options
  • SQL Server Components and Usage
  • Database Engine Component and OLTP
  • BI Components, Data Science Components
  • ETL, MSBI and Power BI Components
  • Course Plan, Concepts, Resume, Project
  • 24 x 7 Online Lab for Remote DB Access
  • Software Installation Pre-Requisites

Ch 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: 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 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 2022 / 2019 Installation
  • SQL Server 2017 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

  • 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: DB Architecture & Group By

  • Database Architecture: Data Files
  • Database Architecture: Log Files
  • Primary and Secondary Data Files
  • Log Files Creation and Realtime Use
  • Creating and Using Filegroups
  • Linking Tables with Filegroups
  • Scripting Database and Objects
  • 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, Audits

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 & LINKED SERVERS

  • 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 
  • CROSS JOIN and CROSS APPLY
  • One-way, Two way Data Comparisons
  • Linked Servers Configurations
  • Linked Servers: RPC Settings & Tests
  • Linked Servers, Remote Joins in TSQL
  • Multi Server Connections, DB Access
  • 2 Part, 3 Part, 4 Part Name Conventions

Ch 11: TSQL Queries: Group By, Joins

  • Joins with Group By Queries in TSQL
  • Joining 3 Tables with Group By
  • Joining  4 Tables with Group By
  • Multi Table Joins with Table Aliases
  • Table & Column Aliases with Joins
  • 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
  • Office Data Connections, Excel Reports
  • Manual Data Refresh & Reports

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

Ch 8: VIEW, SPs, FUNCTIONS BASICS

  • Database Objects: Overview & Usage
  • Views: Types, Usage in Real-time
  • System Predefined Views and Audits
  • Listing Databases, Tables, Schemas
  • Functions: Types, Usage in Real-time
  • System Predefined Functions, Audits
  • DBId, DBName, ObjectID, ObjectName
  • Using Parameters in SQL Server
  • Dynamic Joins for Database Audits
  • 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

Ch 12 : ER MODELS, NORMAL FORMS

  • First Normal Form and Atomicity
  • Second Normal Form, Candidate Keys
  • 3rd Normal Form Multi Value Dependency
  • Boycee-Codd Normal Form : BNCF
  • Fourth Normal Form Realtime 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 with MERGE Statement
  • UPSERT Operations with MERGE
  • Stored Procedures for Merge Statement
  • DML Operations with ON Keyword
  • Tuning / Optmizing Merge Statement
Case Study 1 -
For Database, Table Design (Constraints, Keys)
Case Study 2 -
For Query Writing + Window Functions
(Rank, RowNumber)

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
  • PL 300 Certification Guidance
  • 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

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
 
EVERY SESSION IS COMPLETELY PRACTICAL. REAL-TIME. TASKS, MATERIAL, LAB WORK for EVERY SESSION. Register Today
 

Who can benefit from this Power BI Online Training course?

Complete Real-time and Practical Power BI Training with Real-time Scenarios. Power BI is a cloud-based, elegant end-to-end business analytics tool that enables anyone to visualize, analyze, forecast any type of data with greater speed, efficiency, and understanding. It connects users to a broad range of data through easy-to-use dashboards, interactive reports and compelling visualizations for your day to day corproate business data needs!

Job-Oriented Real-time Training @ SQL School Training Institute - Trainer :  Mr.Sai Phanindra (17+ Yrs of Exper)