Azure BI Training Videos

This impeccable Azure BI Training course is carefully designed for aspiring BI Developers, Consultants and Azure Professionals. This Azure BI Video Training includes basic to advanced Azure Data Factory (ADF), Azure Storage, Azure Data Lake (ADL) and Azure Analysis Services (AAS) concepts with Real-time Project on End to End Implementation. This Azure BI Video Training course also includes Azure Migrations, Azure DataWarehouse (ADW) [Azure Synapse], Azure Data Bricks for Big Data Analytics, helpful for your next Job as well as to reshape your resume.

Complete practical and realtime Azure BI Training course with 24x7 LIVE server, Resume Guidance, ONE Real-time Project with Interview & Placement Assistance.

Azure BI Training Plans

Modules Inclusion PLAN A PLAN B
Module 1 SQL & T-SQL: Database Basics, SQL Queries, DB Design
SQL & T-SQL: Joins, Group By, DB Objects, Normal Forms, Excel ODC
Module 2 MSBI - SSIS : SQL Server Integration Services For ETL, DWH Design
MSBI - SSAS : SQL Server Analysis Services For OLAP with MDX, DAX
MSBI - SSRS : SQL Server Reporting Services For Reports
Module 3 Power BI : Visualizations, Report Design, Modelling, Formatting
Power BI: Power Query & DAX for Static / Dynamic Data Modelling
Power BI: Cloud (Service),Power BI Report Server, Dashboards, Apps
Module 5 Azure SSIS, Azure Analysis Services, Power BI Embedded, Event Hub
No of Videos 98 Videos 110 Videos
Course Fee Rs 59000
USD 798
Rs 63000
USD 852
*+ 18% GST applicable for INR Payments, 6% Paypal Charges for USD Payments

Azure BI Training Videos Highlights & Trainer Profile


AZURE BI TRAINING HIGHLIGHTS :

✔ Azure Data Factory (ADF) ✔ Azure DataWarehouse
✔ Azure Data Lake, Storage ✔ Azure Analysis Services
✔ Azure Cloud Data Sources ✔ Power BI Cloud Integration
✔ MSBI Integration ✔ Real-Time Project

All Session Are Completely Practical & Real Time

Trainer Profile : Mr. Sai Phanindra T (15+ Yrs EXP). Profile

Azure BI Video Training - How it works?

Real-time, Practical Training Videos, accessible 24x7. Study, Practice Material and Lab Work for every video. Trainer available for doubts clarifications and support.

Register Here For Free Demo

Azure BI Training Course Contents:

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

SQL Server Integration Services (SSIS)

SQL Server Analysis Services (SSAS)

SQL Server Reporting Services (SSRS)

Ch 1: SSIS INTRO, INSTALLATION

  • Integration Services (SSIS) & ETL / DWH
  • SSIS for Data Loads, ETL, Warehouse
  • SSDT : SQL Server Data Tools
  • SSIS Development, LIVE (Deployment)
  • Data Warehouse Design & ETL Process
  • DWH and ETL Structures Implementation
  • SSIS ETL for Data Reads, Data Cleansing
  • Data Warehouse (DWH) Design Principles
  • SSIS 2019, 2017 : SSIS DB Installations
  • SSIS Database, Catalog Folders, Storage
  • SSIS Catalog Database (SSIS DB) Creation
  • SQL Server Data Tools - SSDT / Visual Studio
  • SSDT Installation and Catalog Verification
  • SSIS, ETL, DWH, Data Flow, Data Buffer
  • SSIS Package Environment, SSDT Projects
  • SSIS & ETL Training - Lab Plan, Resources

Ch 1: SSAS INTRO, CONFIGURATION

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

Ch 1: SSRS INTRO, INSTALLATION

  • Reporting Operations and Report Types
  • Paginated Reports, Interactive Reports
  • Analytical Reports & Mobile Reports
  • Reporting Solutions (SSRS) and Tools
  • Report Engine Architecture, Databases
  • SSRS Report Server Installation
  • Report Databases in SSRS and Usage
  • Web Service URL : Connections, Usage
  • Web Portal URL : Connections, Usage
  • ReportServerDB, TempDB Configuration
  • SQL Server Data Tools (SSDT)
  • Report Builder, Mobile Report Publisher
  • Report Design : Lab Plan, Data Sources
  • 3-Phase Report Life Cycle (End-End)
  • Report Builder Versus Report Designer
  • Report Server, Web Service Integration

Ch 2: SSIS ETL PACKAGES: BASICS

  • Control Flow Tasks Architecture, Purpose
  • Data Flow Tasks Architecture, Purpose
  • SSIS Packages @ Basic Data Flow, ETL
  • SSIS Projects and Package Creation
  • Data Pipelines in Data Flow Tasks
  • SSIS Packages Execution Process
  • Data Flow Objects, OLE DB Connections
  • SSIS Package Creation - Control Flow
  • DTSX Files for Package Execution
  • SSIS Execution, Package Errors & Logs
  • SSIS Transformation: Conditional Split
  • Excel Connection and Memory Reference
  • Source and Destination Assistants
  • DAT File Imports and Annotations
  • SSIS Project Configurations, Debugging
  • SSIS 64 Bit, 32 Bit Configurations

Ch 2: CUBE DESIGN WITH SSAS, EXCEL

  • Cube Design with SQL Server Data Tools
  • OLAP Data Source, Data Source View
  • Measure Groups, Measures, Members
  • Identifying Dimensions and Attributes
  • Cube Design : Cube Wizard, Dimensions
  • Add Attributes. Deployment, Cube Access
  • OLAP Cube Process. Online Deployment
  • Cube Browsing using SSMS, SSDT Tools
  • Excel Connections for SSAS Cubes
  • OLAP Cube Access, Pivot Charts
  • Excel Pivot Tables, Chart Report Design
  • Piechart Reports & Attribute Filters
  • Common Deployment Errors : Solutions
  • OLAP Server Impersonation - Settings
  • OLAP Deployment Warnings, Solutions
  • End to End Implementation of SSAS

Ch 2: BASIC REPORT DESIGN

  • Working with SQL Server Data Tools
  • Report Templates and Project, Solution
  • Basic Reports - Understanding Entities
  • Report Project Wizard Usage, Reports
  • Data Source Connections and Databases
  • Query Designer, Query Builder, Imports
  • Table, Matrix Reports with Report Wizard
  • Layout, Format - Drilldown Reports, Blocks
  • Stepped Reports, Multi Field Drilldowns
  • Report Template - Datasets & Reports
  • Table Headers & Formatting Expressions
  • Alternate Row Colors, Global Expressions
  • Formatting Styles, Expressions, Reusability
  • Expressions: IIF,Format,Ceiling,Round
  • Textbox Properties: Date Format, Numbers
  • Report Sources, Static/Dynamic Properties

Ch 3: MERGE & FUZZY LOOKUP

  • MERGE and UNION ALL Transformations
  • SORT, NOSORT and Advanced Sort
  • Synchronous, Asynchronous Tfns
  • Row, Partial Blocking Transformations
  • Fully Blocking Transformations - Buffers
  • Avoiding Fully Blocking Transformation
  • Bulk Load Operations, SSIS Data Imports
  • IsSorted & SortKey Position Options
  • SSIS Package Performance & Resources
  • Data Conversion Expressions
  • Fuzzy Lookup Transformation, References
  • Nomatch Cleansing @ Conditional Split
  • Index Creations, Lookup Transformation
  • Data Conversion, Derived Columns
  • Varchar, Nvarchar, Error Redirections
  • Threshold Values, Search Delimiters
  • _Similarity, _Confidence Columns

Ch 3: HIERARCHIES, MDX - LEVEL 1

  • Data Source Views Named Calculations
  • Named Querie, Dimension Attributes
  • Explore Data with Data Source View
  • Dimension Types : Dimension, Entity Level
  • Cube Dimension on Entity Relations
  • Hierarchies in Multidimensional Cube
  • Grouping Attributes in Dimensions
  • Testing Hierarchies : SSMS Cube Browser
  • Testing Hierarchies : SSDT Cube Browser
  • Multidimensional Expression Language
  • MDX Queries Syntax, MDX Expressions
  • MDX Axis Models. Cube into Rows
  • Advantages of MDX: Reports
  • MDX Queries with Attributes, Members
  • MDX Queries on Hierarchies, Keys
  • Members, Children, All Members
  • SELECT in MDX with CROSSJOIN

Ch 3: GROUPING, REPORT PARAMETERS

  • Grouping : Row Groups, Column Groups
  • Row Groups, Parent - Child Groups
  • Adding Groups to Existing & New Rows
  • Group Headers & Footers, Sub Totals
  • Field Visibility, Toggle with Parent
  • Row Group, Header/Footer Properties
  • Column Groups for Table Report, Options
  • Drill-down Report, Row Groups, Visibility
  • Column Group Advance Mode. Fixed Values
  • Repeating Column Headers on Every Page
  • Creating Parameters, Dataset Conditions
  • Single Value and Multi Value Parameters
  • Dynamic Parameters, Dependency Queries
  • SSRS Parameters with Dynamic Conditions
  • Dataset Links to Parameters, List Values
  • SSRS Expressions, Global Fields, Values
  • Advanced Options : Auto / Manual Refresh

Ch 4: SSIS CHECKPOINT & PIVOT

  • Execute SQL Task and OLE DB Queries
  • Transaction Options For SSIS Executables
  • Precedence - Success/Failure/Completion
  • SSIS Package Rollbacks Execution Options
  • Checkpoints Purpose with Data Flow Tasks
  • Checkpoint Files and SSIS Logging Tasks
  • Transactions with Checkpoint File in SSIS
  • Checkpoint Option Advantages, Limitations
  • FailPackageOnFailure, Checkpoint Property
  • REQUIRED/SUPPORT/ NOTSUPPORTED
  • Transaction Property, CHECKPOINT Files
  • Legacy Data, Data Cleansing, Formatting
  • Denormalization, Keys. Need for OLTP
  • PIVOT Transformation, Connection Assistant
  • Pivot Usage - Implementation. Key Values
  • Lineage ID - Purpose. Data Mappings
  • Lineage IDs for Column Mapping, Pivot Keys
  • SSIS Input Columns and Mappings
  • Data Viewer : Data Transfer Verification
  • Data Type Conversions, Error Redirection

Ch 4: CALCULATIONS, MDX - LEVEL 2

  • MDX Queries with WHERE, Except, Range
  • NonEmpty Function, Multi-Member Values
  • Parent, Children with MDX Hierarchies
  • ORDER Function in MDX, Binary Sorts
  • TOPCOUNT / HEAD, BOTTOMCOUNT
  • CURRENT MEMBER, EMPTY MEMBER
  • Filter Expressions with AND / OR
  • Filter with and LEFT / RIGHT Range
  • MDX Query Batches - GO Statement
  • Limitations @ WHERE, Tuple Inverse
  • ADOMD Client : MDX Query Processing
  • MDX Calculations - Creation and Scope
  • Calculations with MDX : Measure Level
  • Calculations with MDX : Attribute Level
  • Time Calculations with MDX Scripts
  • TIME DIMENSIONS - Purpose, Advantages
  • Time Attributes - Calendar / Fiscal
  • BI Enhancements : Advantage, Usage Scope
  • Time Enhancement Attributes, Hierarchies
  • MDX Functions: YoY, YTD, QTD, MTD,

Ch 4: CHARTS, DASHBOARDS, FITLERS

  • Chart Reports - Design, Properties
  • Series Values and Category Groups
  • Report Categories with Series Groups
  • Report Category Types and Differences
  • Visualizations: Trend, Discrete Chart
  • Clustered, Non Clustered Attributes
  • Series Labels: Properties, Formatting
  • Series Actions: Multi - Valued Parameters
  • Report Actions: URL, Report Filters
  • Dashboards : Creation and Real-time Use
  • Multiple Chart Areas, Legends in Charts
  • Dashboard Exports and Report Filters
  • Static and Parameterized Report Filters
  • Series, Markers Chart Areas, Limitations
  • 3-Dimensional Report Properties, Visibility
  • Range Charts, Data Bars, Area Charts
  • Report Actions with Parameters, Joins
  • Dataset and Toolbox Filters, Bookmarks
  • Filters Vs Parameters - Difference
  • Filter Conditions in Dataset, Toolbox

Ch 5: EVENTS, LOOPS, EXPRESSIONS

  • SSIS Package Events, Validation, Execution
  • PreExecution, Progress, Cleanup Events
  • SSIS Events, Errors/Warnings/Information
  • Configuring sysssislog System Tables
  • Debugging : Data Viewers and Breakpoints
  • ForEach Loop Container. File Connections
  • Variables For Linking DFT, Control Flow
  • Dynamic Connections with Variables
  • Iterations, Fetch, Index Mapping
  • SSIS Expressions for ETL and DWH
  • FOR LOOP Expressions in SSIS
  • Init/EvalExpression, AssignExpression
  • SSIS Expressions, Functions, Values
  • Data Insertions, Data Serializations
  • Counter Values, Variables & Parameters
  • SSIS for OS Level Operations, Loops
  • Execute SQL Task : Return Values

Ch 5: PARTITIONS & AGGREGATIONS

  • Partitions : Architecture, Tuning
  • Storage, Slicing. Query Conditions
  • Query and Table Binding in Partition
  • Aggregations - Predefined Calculations
  • Full, Default, None and Unrestricted
  • Measure, Default Aggregations in OLAP
  • Linking Aggregations and Partitions
  • Additive & Semi-Additive Measures
  • Storage Modes : Multidimensional
  • Aggregation, Measure Group Storage
  • Automatic, Scheduled, Medium Latency
  • Low Latency and Custom Scheduling
  • Proactive Caching, Silence Interval
  • Cache Rebuild and Processing
  • Perspectives - Purpose, Scenarios
  • Dimension Usage for OLAP Relations
  • Translations : Creation, Real-time Use

Ch 5: EXPRESSIONS, SHARED DATASETS

  • Shared Data Sources, Shared DataSets
  • Date-Time Expressions with RDL Files
  • FORMAT Function in SSRS, Parameters
  • Data Type Conversions, Int / String Types
  • String Functions, Page Breaks in SSRS
  • LOOKUP Function, Dataset Joins in SSRS
  • Field Value Replacement with Datasets
  • Using LIST Item from SSRS Toolbox
  • Field Expressions and Field Properties
  • #VALX, #VALY, #PERCENT, #SERIES
  • #LABEL, #AXISLABEL, #LEGENDTEXT
  • 3D Pie Charts, Funnel and Tree Map
  • 3D Funnel, Sunburst, Shape Charts
  • Doughnut, Pyramid, 3D Pyramid Reports
  • Parameterized Gauge Reports - Filters
  • Indicators : Value, State Expressions
  • RDL Expressions, Custom Functions

Ch 6: SSIS with ETL, Warehouse (DWH)

  • OLTP Database : Historical Data Loads
  • Data Warehouse (DWH) Purpose, Usage
  • Dimensions, Attributes, Members Types
  • Dimension Tables, Fact Tables Design
  • TYPE1 and TYPE2 ETL Implementation
  • SCD Type1, Type 2 for DWH in Sales
  • Inferred Members and Legacy Loads
  • Initial Data Loads with Data Marts
  • Business Keys & non Identity Columns
  • Surrogate Keys, Alternate Business Keys
  • Cascading OLTP / Stage to DWH Rows
  • Fixed Attributes, Changing Attributes
  • Historical Attributes. Inferred Updates
  • ETL Date, Row Status Transformations
  • Attribute Key Types in SCD, Limitations
  • Historical Attributes and Data Delta
  • SSIS Connection Assistants - Reuse
  • SCD Transformations in Real-time

Ch 6: KPIs, OLAP CUBE DEPLOYMENTS

  • Key Performance Indicators (KPI) Design
  • MDX GOAL, VALUE, STATUS & TREND
  • Variance Computations. Format Options
  • KPI Organizer, MDX Expressions
  • FORMAT_STRING and MDX Operators
  • MEMBER, SOLVE_ORDER Expressions
  • Parent KPIs with MDX Hierarchies
  • KPI Browser and KPI Conditions
  • Drill-Up and Drill-Down in Excel
  • SSAS Deployment Build, Configuration
  • SSAS Deployment Options and Settings
  • Deployment Targets: Transaction Options
  • Deployment Wizard : Impersonation
  • Deployment Accounts, Password Security
  • OLAP Cube Security Roles, Partitions
  • Key Error Logs and Error Locations
  • Scripting Deployment. XMLA Scripts
  • Processing Options - Full, Default

Ch 6: REPORT BUILDER, GAUGES

  • Report Builder Installation & Usage
  • Differences with Report Designer Tool
  • Data Source Creation with Report Builder
  • Dataset Creation with Report Builder
  • Dataset Design with Parameters, Filters
  • Query Designer with Report Builder
  • Toolbox Items Insertion and Properties
  • Column Aggregates, Auto Group By Edits
  • Adhoc Reports with Column Groups
  • Dynamic Row Colors, Report Expression
  • Gauge Reports: End User Access
  • Report Types - Radial, Linear Gauges
  • Indicators, Pointers, Scale Ranges
  • Browser Compatibility, Offline Reports
  • Gauge, Gauge Panel Properties, Filters
  • Scale Properties, Values, Label Options
  • Ranges & Labels, Items, Needle Options
  • Parameterized Gauge Reports, Datasets

Ch 7: Checksum & DWH Design

  • Checksum Transformation in ETL Loads
  • Configuring Checksum: SSIS 2019, 2017
  • Transformation Logic, Parity Checks CRC
  • Checksum For Type I, Type II ETL DWH
  • DWH Dimension Tables With Checksum
  • Lookup Transformation, Row Redirection
  • OLE DB Command and Input Parameters
  • Parameter Mapping, Dynamic Updates
  • Cache Transformation CAW Memory Files
  • Memory Connection Lookup with Cache
  • Tuning Lookup: Caching, Index Options
  • Pre-ETL Activities, DB Recovery Models
  • FULL/ PARTIAL CACHE & NOCACHE
  • Performance Tuning and Pre-ETL Loads
  • Dependent Data Flow Tasks, Post ETL
  • Internal Parameters and Query Updates
  • Cache Allocation Options with ETL DWH

Ch 7: TABULAR CUBE DESIGN

  • SSAS Tabular Mode : Purpose, Usage
  • SSAS Tabular Mode Server Installation
  • Tabular Mode Server and DB Architecture
  • Tabular Mode Advantages with Data Sources
  • Tabular Mode : SSDT, Power Query, DAX
  • Power Query, DAX for OLAP Cube Design
  • In-Memory Vertipaq Storage - Performance
  • Source Data Access Flexibility with ROLAP
  • Business Intelligence Semantic Model
  • Tabular Mode : Developing Data Models
  • Workspace Server : Integrated, Dedicated
  • Workspace Server and Integrated Options
  • Compatibility Levels : Tabular Solutions
  • Cube Design with SQL Databases : Imports
  • Workflow with Tabular Mode Cube Design
  • Data Sources, SSDT, Tabular Mode Design
  • SSAS OLAP Environment, Cube Reports

Ch 7: REPORT BUILDER, MAP REPORTS

  • Map Reports - Map Layers and Map Items
  • Map Gallery - ESRI Share Files (Geo Data)
  • SQL Server Data Sources, Geo Spatial data
  • Business Analysis Dashboards For Maps
  • Polygon, Tile, Line and Point Map Layer
  • Map Visualization and Bubble Map Reports
  • Data Fields, Labels, Visualization Indicators
  • Fields to Visualize, Color Rules and Labels
  • Editing Report Builder Reports in Designer
  • SSRS Deployment: Report Designer Reports
  • SSRS Deployment: Report Builder Reports
  • Report Deployment - Builds, Config Files
  • Webservice URL, Webportal URL Access
  • Data Source, Data Set Folders, Report URL
  • Deployment of Shared Data Sources
  • Deployment of Shared Datasets, Reports
  • Report Manager Uploads for RDL Files

Ch 8: CDC Transformations for DWH

  • DML Audits with Change Data Capture
  • CDC Tables with SQL Server Connections
  • CDC Connections & ADO.NET Integration
  • CDC Control Flow and CDC State Values
  • INITIAL LOADS & PRCESSING RANGE
  • State Variables, Net Changes, Logging
  • Initial & Incremental Dimension Loads
  • Dynamic CDC Control, OLEDB Command
  • Internal Parameters and Usage Options
  • Parameter Mapping For ETL Type1, Type2
  • Integrating Control Flow for CDC @ ETL
  • CDC Splitter - Row Inserts, Updates
  • CDC Precautions, Input & Output Range
  • Derived Column Transformations with CDC
  • Limitations of ADO.NET Connections
  • Master Child Packages,Parameter Binding
  • Package Passwords, Project Parameters
  • Project Configuration Options(32,64 bit)

Ch 8: TABULAR MODE CUBES, DAX - 1

  • Cube Design with SQL Server Databases
  • Data Imports, Workspace Server Processing
  • Identifying Tables (Entities) and Dimensions
  • Attributes and Members and Relationships
  • Measure Groups and Aggregated Measures
  • Grid and Diagram Formats. Process Options
  • BUILD, DEPLOY with Integrated Workspace
  • Cube Browsing : "Analyze in Excel" Reports
  • Tabular Mode Cube Design and Hierarchies
  • DAX - User Interface and Data Types
  • DAX Usage : DAX Queries, Basic Examples
  • DAX Expressions and Real-time Usage
  • DAX Aggregated Measures in DAX, Syntax
  • Hierarchies and Levels in Cube Design
  • Relations : Active,Inactive Relations
  • Tabular Mode Cube : SSDT Imports
  • Model Options : Process, ReCalculate
  • Data Loads and Tabular Mode Explorer

Ch 8: REPORT MANAGEMENT

  • Data Source Management, Subscriptions
  • Dependant Items, Security Operations
  • Edit Shared Data Sources in Web Portal
  • Shared Data Source Enable and Hide
  • Connection Types, Edits and Security
  • Shared Dataset Operations: Report Edits
  • Data Preview, Downloads, Link Reports
  • Report Security: Browser Role, User Access
  • Content Management, My Reports, Publisher
  • Report Builder, Report Definitions, Uploads
  • Report Tuning: Caching, Rebuilds, Refresh
  • Report Tuning: Report Snapshot, Schedules
  • Subscriptions: Standard and Data Driven
  • Email and File share Subscriptions in SSRS
  • Schedules and Report Delivery Options
  • Report Server Settings, Shared Schedules
  • Report Timeout, Report Parts and Publish
  • Report Builder Sub Reports, Report Parts

Ch 9: Fact Table Design, DWH Loads

  • Fact Table - Design and ER Model
  • DWH : STAR & SNOWFLAKE Schemas
  • Time Dimensions and ETL Date / Time
  • Link Time Dimension to Facts, Lookups
  • Parent-Child Packages for Fact Loads
  • Inferred Members for NULL Dimensions
  • SCD Wizard for DWH Fact Table Design
  • Parameter Mapping for Incr Updates
  • ETL Load IDs - Dimension Attributes
  • Error Handling, Event Handling in SSIS
  • Text Qualifiers with Flat File Sources
  • Fact Load Design for Initial, Incr Loads
  • End-to-End DWH Design Implementation
  • Direct Data Loads and Staging Tables
  • Fact Table Staging and Incr Updates

Ch 9: TABULAR MODE - DAX LEVEL 2

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

Ch 9: MOBILE, KPI, CUBE REPORTS

  • Mobile Reports : Creation & Usage
  • Excel and Report Server Sources
  • Working with Mobile Report Publisher
  • Elements Layout: Master, Tablet
  • Grids and Color Palette. Deployment
  • RSMobile Formats: Uploads, Downloads
  • Shared Dataset in Report Builder Tool
  • KPI Reports: Design from Web Portal
  • KPI: Value, Goal, Status, Trend
  • KPI Visuals: Bar, Line, Step, Area
  • Custom URLs and Mobile Reports
  • Cube Reports with SSAS MDX, DAX
  • SSRS Cube Reports with Parameters
  • MDX Default Parameters, Options
  • SSAS OLAP Cube Actions with SSRS

Ch 10: DWH MIGRATIONS, SCRIPT Task

  • DataWarehouse Migrations with SSIS
  • Using SSIS Containers, Db Integrity Task
  • Pre-Database Migration Task Precautions
  • Online and Offline DB Transfer Options
  • Copy / Move with DWH Migrations
  • SMTP : Simple Mail Transfer Protocol
  • SQL Server Agent and Package Events
  • Data Profiling with ADO.NET Connectors
  • XML Files & SSIS Data Profiler Tool
  • Script Task - Working in SSIS Control Flow
  • Script Task - VB.NET Program Compilations
  • Variables, Parameters with SSIS Script Task
  • Read Only, Read Write Variable Expressions
  • Expressions and Debugging, Break Points
  • Variables, Parameters Mapping Expressions
  • File System Tasks and Limitations
  • SQLDataAdapters & System.Data.SQLClient

Ch 10: OLAP DATABASE MANAGEMENT

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

Ch 10: PROJECT WORK in SSRS

  • SQL Server Data Sources and Datasets
  • Designing RDL [Paginated], Expressions
  • Chart Reports, Line Reports, Options
  • Dataset with Parameters and Filters
  • Trend Analysis, Continuous Data Reports
  • Data Bar Reports and Stacked Reports
  • Multi-series Charts, Dynamic Chart Size
  • Axis Display Control : Paginated Reports
  • Parameters and Filters - When to use which
  • Complete Project Solution & Explanation
  • Work Flow Operations and Report Types
  • Report Design, Builds, Report Deployment
  • Report Edits, Data Source Changes to Azure
  • Azure SQL Database for SSRS DB Source
  • Report Management, Security, Subscriptions
  • Report Tuning, Caching, Snapshot Options
  • Project FAQs and Explanations for Resume

Ch 11: SSIS DEPLOYMENTS, UPGRADES

  • SSISDB Catalog Deployments, ISPAC Files
  • Package Builds, Verification, Scripts
  • Project Deployment Wizard Targets, Logs
  • DB Catalog Folders & Projects Creation
  • Package Executions - Scripts, Reports
  • Package Validations, 32/64 bit Options
  • Configurations & Parameter Management
  • Package Jobs @ SQL Agent. Job Steps
  • Job Schedules and Notifications Event Logs
  • Package Security - SSISDB Logins, Users
  • Folder Level and Project Level Security
  • Project Migration Utilities, Upgrades
  • Package Imports, Exports with ISPAC Files
  • Command-Line Deployment,Execution Utility
  • Package Execution & Validation Reports
  • Package Versions and Restores, Rollbacks

Ch 11: Real-time Project for SSAS

  • Working with SQL Server Data Sources
  • Data Modeling 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 Options with MS OLAP
  • Adding Hierarchies and Attribute Relations
  • Time Intelligence and BI Enhancements
  • Cube Calculations with MDX / DAX
  • Defining KPIs, Perspectives, Roles
  • Cube Deployment & End user Cube Access
  • DAX Queries in MS Excel (Excel Analyzer)

End to End Implementation (Real-time)

  • End to End MSBI Implementation Process
  • Project Requirements and SDLC Life Cycle
  • Database Design and Entity Selection
  • Understanding OLTP Databases, Relations
  • Design of DWH : Data Warehouse Database
  • SCD Techniques for ETL, Dimension Loads
  • Fact Loads, STAR / SNOWFLAKE Schemas
  • DWH Database Limitations for Analysis
  • OLAP Databases for Data Analysis
  • Cube Design and Operational Modes
  • Mode Selection and Capacity Planning
  • Tabular Mode OLAP Cube: Advantages
  • Excel Analysis and Reports with MDX
  • Using DAX for Modeling, Cube Reports
  • Paginated Reports with OLAP, DWH
  • MSBI Limitations, Need for Azure BI
Ch 12: Realtime Project for SSIS & DWH
Ch 12: Integration with Power BI [Plan C]
MSBI Resume Guidance, Interview FAQs

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

Module I: Azure Data Factory (ADF)

Module II: Azure Databricks

Module III: Azure Cosmos DB

Ch 1: Azure Data Engineer, Azure BI Intro

  • Azure Data Engineering - Job Roles
  • Cloud, Azure Platforms : Advantages
  • IaaS, SaaS, PaaS Implementations
  • Microsoft Azure & Data Engineering
  • Azure SQL Database, Azure Synapse
  • Azure Data Factory, Azure Databricks
  • Azure Data Lake, Azure Analytics
  • DP 200, DP 201 Certification Exams
  • Subscription and Azure Resources
  • Azure Portal : Resources, Dashboards
  • Creating Resource Groups, Use
  • Creating Azure SQL Server, Region
  • Creating Azure SQL Databases 
  • Compute and Storage, DTU Plans
  • Firewall Configurations in Azure 
  • SSMS Tool, ADS Tools. Connection Tests

Ch 1: Introduction to Azure Databricks

  • Big Data and Distributed Computing
  • Introduction to Azure, Advantages
  • What is Spark?
  • What is Apache Spark
  • What is Scala
  • Need for Azure Data Analytics
  • Azure Data Enginer Technologies
  • Need for Azure Databricks
  • Azure Fundamentals
  • Using Azure Databricks for ETL
  • Using Azure Databricks for Analytics
  • Azure Account Creation, Validations
  • Subscription and Resource Options
  • Resource Groups, Account Access
  • Billing Options and Resource Access
  • Azure Active Directory (Azure AD)
  • Notifications, Azure Resources

Ch 1: Introduction to Cosmos

  • Azure Cloud Introduction
  • Need for Azure Cosmos DB
  • Azure Cosmos Databases
  • Document Databases, Uses
  • Client & Server Side Operations
  • Globally Distributed Services
  • Cosmos DB Implemtations
  • Tools and Access Environment
  • Multi-Model Database Env
  • Keybenefits with Cosmos DB
  • Turnkey Global Distribution
  • Always On, Consistency Choices
  • Elastic Scalability of Throughput
  • Guaranteed Low Latency
  • Azure Account Registration
  • Azure Subscription, Resources

Ch 2: Azure Synapse Config, Architecture

  • Azure SQL Pool and Synapse Concepts
  • Azure Synapse (DWH) Creation
  • Synapse Firewalls, Remote Access
  • DWU Units and Scaling Options
  • Connections with SSMS, ADS Tools
  • Start, Pause, Resume in Azure Synapse
  • DMS : Data Movement Service, CMVs
  • Scaling Options, Compute Engine
  • Azure Synapse Analytics Engine
  • cDWU & DWU, Sharding Benefits
  • Massively Parallel Processing (MPP)
  • Control Node and Compute Node
  • Data Distribution in Azure Synapse
  • Hash Functions, Distributed Tables
  • Round-Robin and Replicated Tables
  • Dynamic Management Views (DMV)

Ch 2: Data Bricks Architecture

  • ETL Architecture with Data Bricks
  • Apache Spark analytics platform
  • Apache Spark Eco System
  • Spark Core API in Azure DB
  • Spark SQL Data Frames
  • Streaming Options, GraphX
  • Machine Leaning Components
  • Databricks Runtime Engine
  • Enterprise security with Databricks
  • Databricks ServerLess Concepts
  • Databricks Workflow Options
  • Databricks I/O Throughput
  • Integration with Azure services
  • Integration with Azure SQL Database
  • Integration with Datawarehouse
  • Integration with Power BI

Ch 2: Azure Cosmos DB Configuration

  • Azure Cosmos DB Creations
  • Cosmos DB : API and Data Model 
  • SQL, Mongo DB and Table Options
  • Graph, Cassandra APIs in Cosmos
  • Azure Cosmos DB .NET SDK
  • .NET Framework or .NET Core
  • Creating to Azure Cosmos account
  • Connecting to Azure Cosmos account
  • Configuring Project in Visual Studio
  • Creating a database and a container
  • Adding items to the container
  • Querying the container, CRUD
  • Performance Tunig Options
  • Azure Cosmos DB : Queries
  • NoSQL Environment in Azure
  • SQL Versus NoSQL Environment

Ch 3: Azure DataLake Storage, Data Migrations

  • Azure BLOB Storage Account Creation
  • Azure DataLake Storage (Gen 2)
  • Creating Containers and File Uploads
  • Azure Storage Explorer Tool Usage
  • Azure Resource Manager (ARM) Options
  • Data Lake Storage Performance Options
  • Replication : LRS, GRS, RA-GRS
  • Hot Access with Azure Data Lake
  • Database Migrations from On-Premise
  • Data Migration Assistant (DMA) Tool
  • Table Data Imports using DMA Tool
  • Azure SQL Database, Synapse Imports 
  • Generating bacpac Files from SSMS
  • Bulk Uploads with Azure Data Lake
  • Azure SQL Server Imports (SaaS)

Ch 3: Run Spark Job in Azure Data Bricks 

  • Azure Databricks Service
  • Instance Configuration, Resouce Group
  • Workspace Details,Pricing Tier
  • Standard, Premium and Trail Editions
  • Apache Spark and Azure AD Sync
  • Azure Databricks Networking
  • Workspace Failures, Retrials
  • Spark Cluster Creation in ADB
  • Cluster Mode and Pool Options
  • DataBricks Runtime Version
  • AutoPilot and Scaling Options
  • Worker Type and Capacity
  • Driver Type, Advanced Options
  • Notebook Creation, Azure Datasets
  • PySpark and SQL DB Access

Ch 3: Table API, Import

  • Creating Database Accounts
  • Azure Table Creation Options
  • Geo-Redundancy in Cosmos
  • Multi-Region Writes , Availability
  • Table Id and Throughput Options
  • Request units per second (RU/s)
  • Data Explorer Options, Audits
  • Entities : Add Entity Options
  • Application Cloning in Cosmos
  • Applications in Visual Studio
  • Connection Strings in Code
  • Build, Deploy App in Cosmos
  • Visualizations, Bar, Plot Options
  • ETL Concepts with Cosmos DB
  • Montoring, Scaling in Cosmos DB

Ch 4: Azure Data Factory, Synapse Loads

  • Azure Data Factory (ADF) Introduction
  • Azure Data Factory Architecture
  • ADF : Data Processing, Movement
  • Data Mashup and ETL Components
  • Creating Azure Data Factory Resource
  • Author & Monitor Options in ADF
  • ADF Pipelines, Activities, Connections
  • Copy Data Tool in ADF Portal, Use
  • Dataset Creation with Azure Synapse
  • Linked Service Creation with Synapse
  • Dataset Creation with Azure Storage
  • ADF Pipeline Deployments, Triggers
  • Polybase for Data Staging, DIUs
  • Testing Data Loads in Azure Synapse

Ch 4: Azure Databricks workspace in VN

  • VNet injection Options in Azure Data Bricks
  • Virtual Network Requirements, Options
  • Subnets and IP Address for Security
  • Virtual Address Space, CIDR Block
  • Public and Private Subnet Usage
  • Azure Databricks Service, Workspace
  • Network Security Groups, Arm Templates
  • Databricks Runtime Architecture
  • Databricks Runtime Architecture
  • Better Performance with DBIO
  • Stronger Security with DBES
  • Rapid releases and early access
  • Databricks’ SaaS offering
  • DATABRICKS COMPUTE ENGINES

Ch 4: Import / Migrate Data

  • Data Migration Tool in Cosmos DB
  • Improting Data with Migration Tool
  • Command Line Installations
  • dt.exe, EnableCosmosTableLog
  • AzCopy Command-Line Utility 
  • Installation and Working Options
  • Table API Usage with Cosmos DB
  • Copy Data : One Table API to Another
  • Generally available Table API
  • Migrate Big Data to Azure Cosmos
  • Azure Data Factory for Data Imports
  • Real-time Challenges : Data Imports
  • Virtual Network Template
  • Significantly Operational Complexity

Ch 5: Azure SQL DB Loads to Synapse

  • Copy Data From Azure SQL Database
  • Azure Synapse (DWH) Sinks in ADF
  • Data Sets Creation, ADF Data Pipelines
  • Activities : Move & Transform for ETL
  • Actions and View Activity Runs
  • ADF Pipeline Monitoring and Refresh
  • ADF Triggers - Manual, Automatic
  • Azure Database to Azure Synapse Loads
  • Creating Pipelines in ADF Portal
  • Pipleline Properties, Custom Options
  • Activities in ADF : Types, Classifications
  • General, Source and Sink Properties
  • Debugging and Validation Options
  • Testing Data Loads into Azure Synapse

Ch 5: Azure BLOB Storage to ADB

  • Configure Azure Storage Account
  • Creating Storage Container
  • Scala notebook in Azure Databricks
  • Scala Notebooks Creations, Usage
  • Mounting Blob Storage into ADB
  • Generating SAS Connections
  • Azure Databricks File System
  • Distributed File System Options
  • Mounting Storage Objects to DBFS
  • DBFS Root, Stoage Types
  • Metadata and Mount Point Paths
  • Accessing Databricks File System
  • DBFS API and Local Access
  • Python and Scala Code for DBFS

Ch 5: Query Data with Cosmos

  • Data Explorer in Azure Cosmos
  • Azure Query Playground For SQL
  • SQL Queries and Syntax Checks
  • SQL Query Executions in Cosmos
  • Query Conditions and Predicates
  • Distribute Data in Cosmos
  • Add Global Database Regions
  • Replicate Data, Manual Failover
  • Store and Access Graph Data
  • Working with NoSQL Data
  • Graph Database Options in Cosmos
  • Gremlin API with Azure Cosmos DB
  • Data Reads, Transformations, Writes
  • Storage Options and Uploads

Ch 6: Onpremise Data Loads to Synapse

  • Azure Data Factory with On-Premise
  • Azure Data Factory Runtime Engine
  • On-Premise Data Extraction and Loads
  • Self Hosted IR in Copy Data Tool
  • IR Engine Installation, Key Concepts
  • IR Connections, Authentication Methods
  • IR Tool Configuration and Monitoring
  • Azure Storage Linked Service, Reuse
  • Creating ADF Pipelines with On-Prem
  • Remote Connections, Self Hosted IR
  • Creating Pipelines in ADF Portal
  • Data Integration Units [DIU] Usage
  • ADF Pipeline Tuning with Synapse
  • Testing Data Loads into Azure Synapse

Ch 6: Azure SQL Server and ADB

  • Azure SQL Database from Azure Databricks
  • Deploying Azure SQL Server
  • Query Editor and DB Access Options
  • CSV file upload to Azure Databricks Cluster
  • Creating Scala Notebooks for Imports
  • Scala Functions, Display Options
  • Transformations, Data Load Functions
  • Loading Data from Azure Cosmos
  • Azure Cosmos DB and ADB
  • Azure Data Bricks in Virtual Network
  • Creating Azure Cosmos DB Endpoint
  • Azure Cosmos DB Primary Connections
  • Data Explorer, Container Settings
  • Azure Data Bricks Cluster Setup

Ch 6: Performance Tuning in Cosmos

  • Azure Cosmos DB Accounts
  • Enable notebooks in Cosmos
  • Jupiter Notebooks in Cosmos
  • Geo Redundancy, Apache Spark
  • Enabling Notebooks in Cosmos
  • Run Notebooks, Data Explorer
  • Query Tuning Cost Analysis
  • Optimize Query Cost in Cosmos
  • Query Cost Throughput
  • Query Cost Storage Options
  • Read and Writes Costs
  • CRUD Analysis, Cost Regions
  • Query Metrics, Tuning Options
  • Deploying Azure SQL Database

Ch 7: INCREMENTAL DATA LOADS 1

  • Incremental Data Loads with ETL
  • Incremental Loads in ADF Portal
  • Source Data & Watermark Column
  • Watermark Tables : Creation, Use
  • TimeStamp For Incremental Loads
  • Configuration Procedures for ETL
  • Using Lookup Activities in ADF
  • Lookup Transformation with ADF
  • Expressions and Usage in ADF
  • Generating New Watermark Columns
  • Lookup Output Row Level Audits
  • Stored Procedures and Dynamic Values
  • Parameterized Values for Data Extraction
  • Using ADF Run IDs for Connections
  • Parameter Imports and Staging Options
  • Output() Functions & Item() Functions

Ch 7: Azure Synapse with ADB

  • Creating Azure Synapse Database
  • Loading Data from Azure Synapse
  • Azure Synapse connector
  • Spark Driver for Azure Synapse
  • Spark Executors for Azure Synapse
  • Azure Synapse to Azure storage
  • Global Hadoop configuration in ADB
  • ETL with Azure Data Bricks
  • ETL Workflow with Azure Data Bricks
  • Data Lake Storage Gen2 Storage
  • Service Principal Usage, ETL
  • Data Transformations and Lookups
  • Master Key and Forewall in Synapse
  • Tenant ID and Azure Active Directory
  • Authentication Keys,Connections, ETL
  • Real-time Recommendations

Ch 7: Power Shell for Cosmos

  • Azure PowerShell samples
  • Azure Cosmos DB - SQL (Core)
  • Account, database and Container
  • Container with a large Partition key
  • Container with a large Partition key
  • Get RU/s and Update RU/s
  • Container with no index policy
  • Update Account in Cosmos DB
  • Update Cosmos Account's Regions
  • Failover Priority, Trigger Failover
  • Account Keys & Connection Strings
  • Create Azure Cosmos Account
  • IP Address Configuration in Azure
  • Lock resources from deletion
  • AutoPilot, Workers and Drivers
  • Big Data Loads with Cosmos

Ch 8: INCREMENTAL DATA LOADS 2

  • Incremental Loads - Multiple Tables
  • Data Prep for Watermark Store
  • ForEach Activity and Real-time use
  • Lookup Activities Use in ADF
  • Linked Service Parameters, Use
  • Copy Data Activity for ETL in ADF
  • Stored Procedure Activity for ETL
  • Data Pipelines Parameters in ADF
  • Object Name Parameters, Iterations
  • Using Self Hosted IR Engine in ADF
  • Incremental Loads with Data Lake
  • Dynamic Sources and Destinations
  • ADF Pipeline Executions, Run IDs
  • Dynamic File Formats and Connections
  • ADF Pipeline, Trigger Execution Runs

Ch 8: Azure Data Bricks Pools

  • Azure Databricks Pools, Clusters
  • AutoScaling Options, Display Pools
  • Creating Pools, Pool Configurations
  • Pool Usage, Instance Options
  • Pool Configurations, Clusters
  • Databricks Runtime Engines
  • Pool Size and Auto Terminations
  • Structured Streaming
  • Data Streaming with ADB
  • Sensors, IoT devices, social networks
  • Data Stream, Unbounded Tables
  • Complete Mode. Append Mode
  • Update Mode, Loading Sample Data
  • Stream Initialization, Job Streaming
  • Quering a Data Stream, Spark Jobs

Ch 8: Monitoring, Partitions

  • Data Modeling, DB Partitions
  • Modeling Advantages: Cosmos
  • CQRS Requests for Analysis
  • User and Posts Container
  • Create, Retreive User
  • Create, Edit Posts & Queries
  • Create, Edit Posts & Comments
  • Performance Tuning in Cosmos
  • Latency, RU Charge, Performance
  • Partitioned Containers Migration
  • System Partition Keys, Usage
  • Monitoring Azure Cosmos DB
  • Azure Monitoring Logs, Usage
  • Azure Monitor Metrics in Portal
  • Editting a Pool, Deleting Pools

Ch 9: Data Flows in Azure Data Factory

  • Data Flow Activity in ADF Pipeline
  • Using Data Flows for ETL Operations
  • Mapping Data Flow, Tranformations
  • Linked Services & Datasets Creations
  • Data Flow Debugging in Spark Clusters
  • Data Preview and Dynamic Content
  • Data Flow Expressions in ADF
  • Conditional Split Transformations
  • Joins with Multiple Datasets
  • Table Data Comparisions in ADF
  • Working with ETL Loads, Timestamps
  • Broadcast Join, Map-Side Join
  • Limitations with Spark Clusters
  • Synapse Database Sinks
  • Real-time Considerations in ADF

Ch 9: Azure Delta Lake, delta engine

  • Azure Delta Lake and Real-time Usage
  • Creating Delta Table with Python, T-SQL
  • Creating Table using JSON and Delta
  • Data Partitions into Azure Delta Tables
  • Data Modifications and Stream Writers
  • Batch Upserts, Display Table History
  • Time Travel and Version Control
  • Table Optimization Technques
  • Table Snapshots and Real-time Use
  • DeltaLake on Azure Databricks
  • Ingest Data and Table Data Loads
  • COPY INTO SQL Command
  • Auto Loader, Table Batch Concepts
  • Schema Validations, Vacuum
  • Concurrency Control, DeltaLake FAQs

Ch 9: Azure Cosmos DB and ADB

  • Azure Data Bricks in Virtual Network
  • Creating Azure Cosmos DB Endpoint
  • Azure Cosmos DB Primary Connections
  • Data Explorer, Container Settings
  • Azure Data Bricks Cluster Setup
  • AutoPilot, Workers and Drivers
  • Loading Data from Azure Cosmos
  • Real-time Considerations For ETL
  • Azure Cosmos DB Security
  • Firewall Configurations, Virtual Nets
  • Private Endpoints, Encryptions
  • Cross Origion Resources in Cosmos
  • Certificate Based Authentication
  • Real-time Security Issues, Solutions
  • z-order by Columns, Performance

Ch 10: Data Wrangling in ADF, Synapse

  • Data Wrangling in Azure Data Factory
  • Need for Wrangling with Synapse DB
  • Power Query Operitions with ADF
  • Mutliple Data Flow Activities in ADF
  • Tuning Options with Azure Synapse
  • CTAS, Pipelining and Indexing Options
  • Fact Tables and Dimension Tables
  • ETL Cocepts with Azure Synapse 
  • Performance Levels in Synapse
  • COPY Statement and Data Loads
  • ETL Operations with Azure Storage
  • Understanding COPY Statement
  • Optimize ColumnStore Compression
  • Optimize Statistics.ColumnStore Indexes

Ch 10: ADB with ADF

  • Azure Data Factory for ETL Operations
  • Azure Data Bricks for ETL Operations
  • Creating Datasets in Data Factory
  • Creating Datasets in Azure DataBricks
  • Creating DataFrames in Azure DataBricks
  • Creating Pipelines in Data Factory
  • Creating Pipelines in Azure DataBricks
  • Azure Databricks with Power BI
  • Using Azure Data Bricks for Data Visualizations
  • Azure Databricks Visualizations, Data Analytics
  • DataBricks Access in Power BI
  • Personal Access Token, Cluster Details
  • Spark Connections with Power BI
  • Power BI Navigator Options, Security

Ch 10: Visualizations with Cosmos DB

  • Azure Cosmos Database Containers
  • Power BI Reports from Cosmos DB
  • Using JSON Files with Power BI
  • Connection Strings and Connectors
  • Collection Keys and Throughput
  • Primary Key and Read Only Keyus
  • Dynamic Record Items in Power BI
  • Flattening and Transformations
  • Document Columns in Power BI
  • Custom Columns and Text Forms
  • Report Generation : Visualizations
  • Report Publish and Share Options
  • Dashoards, Gatways & Data Refresh
  • Comparing ADB with ADF For ETL

Ch 11: Azure Analytics Workspace

  • Azure Synapse and Spark Technologies
  • Azure Synapse SQL Concpets
  • Azure Synapse Piplelines, Usage
  • Creating Workspace in Azure Synapse
  • Azure Datalake Storage Gen 2
  • Edit, Delete Options: Command Bars
  • Azure Synapse Studio : IDE
  • Storage Accounts Browsing Options
  • Query Files and Storage Blob
  • SQL Scripts and Spark Notebooks
  • Creating Spark Pools in Synapse 
  • SQL On-demand in Azure Synapse 
  • Logical Data Warehouse Concepts
  • Client Tools, PARQUET File Format

DP-200 Certification Training

Implement Data Storage Solutions

  • Implement non-relational data stores
  • Implement relational data stores
  • Manage data security

Manage and Develop Data Processing

  • Develop batch processing solutions
  • Develop streaming solutions

Monitor and Optimize Data Solutions

  • Monitor data storage
  • Monitor data processing
  • Optimize Azure data solutions

DP-201 Certification Training

Design Data Storage Solutions

  • Recommend an Azure data storage solution based on requirements
  • Design non-relational cloud data stores
  • Design relational cloud data stores

Design Processing Solutions

  • Design batch processing solutions
  • Design real-time processing solutions

Desig for Data Security and Compliance

  • Design security for source data access
  •  Design security for data policies and standards

Ch 12: Azure Synapse Management

  • Backups and Restores in Synapse
  • Creating and Using Restore Points
  • Restoring Deleted Resource Pool
  • Restore from Ge-Backup SQL Pool
  • Azure Synapse Security, RBAC
  • Authorization Techniques in Synapse
  • Transperant Data Encryption (TDE)
  • Certificates and AES-256 Algorithm
  • Security Scripts in T-SQL, Alerts
  • Threat Detection, Threat Protection
  • Monitor Query Executions, Queries
  • Monitor Active Queries, CTAS
  • Polybase Loads, Catalog Loads
  • Suspended States and TempDB
  • sys.dm_pdw_exec_requests
  • Creating Logins and Users for ETL 

Azure SSIS

Azure Analysis Services

Power BI Embedded

  • SSIS Package Executions in Azure with ADF
  • Azure SSIS and Catalog Database with ADF
  • SSIS Feature Pack for Azure in SSDT
  • Using Azure Blob & Data Lake Storage in SSIS
  • Using Azure SQL Database, Synapse in SSIS
  • Azure Synapse Connections for Incremental Loads
  • Provision Azure SSIS IR in Data Factory
  • File System Deployments with Data Factory
  • Using Azure SSIS Component with SSDT
  • SSIS Packages Migrations to Azure SSISDB
  • File System Deployments with Data Factory
  • Project Deployments, Package Deployments
  • ISPAC Files with Azure SSISDB; Security
  • Deploy to Azure SSISDB; Lift & Shift of SSISDB
  • Fast Loads, Rows Per batch Calculations
  • Deploy to Azure SSISDB, Execution Tests
  • Managing SSIS Packages in Azure, ADF Monitoring
  • Azure Cosmos and Data Lake Storage in ADF
  • Azure Synapse Connections for Incremental Loads
  • Provision Azure SSIS IR in Data Factory
  • Project Deployments, Package Deployments
  • Azure Analysis Services (PaaS) Configurations
  • AS Azure Analysis Vs On-Premise SSAS
  • Azure Blob Server Side Encryptions
  • Azure Analysis Services Data Models
  • Developer, Basic and Standard Tiers
  • Compatibility Levels & Version Support
  • Active Directory - Universal with MFA
  • In-Memory Vertipaq Databases Usage
  • End to End Implementation of AAS
  • Tabular Mode Deployments with AAS
  • MDX Queries and Cube Browser in SSMS
  • Cube Design (Tabular) in On-Premise;
  • SQL Server Analysis Services Models
  • On-Premise Deployments to MSBI - SSAS
  • Cube Connections and Tests from SSMS
  • Importing Data Models in SSDT Tool
  • Model and Process All Options in SSDT
  • Deployment from SSDT to Azure AS
  • ADAL Caching Options from SSDT
  • On-Premise SSAS, Azure Analysis Migration
  • Enabling Backup Options in Azure AS
  • Creating and Storage Containers
  • On-Premise Data Backups into ABF
  • Upload ABF Files to Azure
  • Restoring ABF Files From Azure
  • AS Azure Analysis Backups and Restores
  • Azure SQL Daabase Sources for Azure Analysis
  • Azure Synapse Sources for Azure Analysis
  • Need for Power BI Embedded and Azure Platform
  • Independent Software Vendors (ISV)
  • PaaS Solution for Power BI in Azure, Configuration
  • SaaS Solution for Power BI with Premium Account
  • Pay as you Go versus Monthly Subscriptions
  • Using Azure Portal and Power BI Desktop UI
  • Creating Power BI Embedded Capacities
  • Azure Configuraton, Access Options. Visualizations
  • Capacity Administrators and Pricing Tiers
  • Power BI Embedded in Azure and Office
  • Azure Active Directory Tenant Setup, Power BI Pro
  • Embedded Development Analysitcs Environment
  • Azure Active Directory (AAD) : App Registration
  • Native Apps and Server Side Web Applications
  • Workspace Creation and Realt-time Usage
  • Server Principal and Security Settings, URL Access
  • Create & Publish Reports in Power BI Embedded
  • Power BI Embeeding within Applications (.NET)
  • Microsoft Rest Token Credentials and Use
  • Creating Dedicated Capacities and Nodes
  • Development Testing Options with Embedded
  • Workspace Assisgnment to Capacities
  • Organizational Embeds and Secure Tenants
  • End to End Implementation with Power BI
  • Firewall Settings, Power BI Access
  • Metrics : Memory & CPU Usage Reports
  • Azure Security Management Options
  • Owner, Contributor, RBAC in Azure AD

Job-Oriented Real-time Training @ SQL School Training Institute

SQL Server, SQL DBA, MSBI, Azure SQL Dev, Azure SQL DBA, Power BI Training

 
 
All Training Sessions are completely practical and real-time. 24x7 LIVE Server & Lab Available. Payments via Paypal in Installments.