Azure BI Training

This impeccable Azure BI Training course is carefully designed for aspiring BI Developers, Consultants and Architects. This Azure BI Training includes basic to advanced Business Intelligence, Data Warehouse (DWH) and Data Analytics (OLAP) concepts on SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS). This Azure BI Online Training course also includes Azure Data Factory (ADF), Azure DataWarehouse (ADW), Azure Analysis Services for Big Data Analytics and Forecasts. On-Premise DWH and Analysis Databases (OLAP) Migrations to Azure are also a part of this course.

Complete practical and realtime Azure BI Training course with 100% Hands-On, Resume Guidance, Interview and Placement Assistance.

Azure BI Training (ADF, ADW, AAS)

  PLAN A PLAN B PLAN C
Description Azure BI Azure BI,
MSBI		 Azure BI, MSBI
Power BI
Total Duration 4 Weeks 11 Weeks 14.5 Weeks
Azure Data Factory (ADF) Check-Symbol-for-Yes Check-Symbol-for-Yes Check-Symbol-for-Yes
Azure DataWarehouse (ADW) Check-Symbol-for-Yes Check-Symbol-for-Yes Check-Symbol-for-Yes
Azure Data Lake, Storage Check-Symbol-for-Yes Check-Symbol-for-Yes Check-Symbol-for-Yes
Azure Analysis Services Check-Symbol-for-Yes Check-Symbol-for-Yes Check-Symbol-for-Yes
Real-Time Project in Azure BI Croos-symbol-for-No Check-Symbol-for-Yes Check-Symbol-for-Yes
SSRS: Reports, Hosting, Mobile Croos-symbol-for-Yes Croos-symbol-for-Yes Check-Symbol-for-Yes
Azure Cloud Data Sources Croos-symbol-for-Yes Croos-symbol-for-Yes Check-Symbol-for-Yes
Power BI Cloud Integration Croos-symbol-for-Yes Croos-symbol-for-Yes Check-Symbol-for-Yes
Azure BI with MSBI Integration Croos-symbol-for-Yes Croos-symbol-for-Yes Check-Symbol-for-Yes
SSIS: Basic to Advanced Croos-symbol-for-No Check-Symbol-for-Yes Check-Symbol-for-Yes
SSAS: Basic to Advanced Croos-symbol-for-No Check-Symbol-for-Yes Check-Symbol-for-Yes
SSRS: Basic to Advanced Croos-symbol-for-No Check-Symbol-for-Yes Check-Symbol-for-Yes
MDX, DAX, XMLA, DMX Check-Symbol-for-Yes Check-Symbol-for-Yes Check-Symbol-for-Yes
Data Modeling with MDX Croos-symbol-for-No Check-Symbol-for-Yes Check-Symbol-for-Yes
Data Modeling with DAX Croos-symbol-for-No Check-Symbol-for-Yes Check-Symbol-for-Yes
Real-Time Project in MSBI Croos-symbol-for-No Check-Symbol-for-Yes Check-Symbol-for-Yes
MCSA Exam Guidance Croos-symbol-for-No Check-Symbol-for-Yes Check-Symbol-for-Yes
Power BI Report Design Croos-symbol-for-No Croos-symbol-for-No Check-Symbol-for-Yes
Power BI Desktop, Custom Visuals Croos-symbol-for-No Croos-symbol-for-No Check-Symbol-for-Yes
Data Modelling with Power Query Croos-symbol-for-No Croos-symbol-for-No Check-Symbol-for-Yes
Data Modelling with DAX Croos-symbol-for-No Croos-symbol-for-No Check-Symbol-for-Yes
Power BI Cloud, Excel Analysis Croos-symbol-for-No Croos-symbol-for-No Check-Symbol-for-Yes
Power BI Mobile, R, REST API Croos-symbol-for-No Croos-symbol-for-No Check-Symbol-for-Yes
Python Integration, Data Flows Croos-symbol-for-No Croos-symbol-for-No Check-Symbol-for-Yes
Real-Time Project in Power BI Croos-symbol-for-No Croos-symbol-for-No Check-Symbol-for-Yes
Total Course Fee INR 9,000
USD 140 		INR 26,000
USD 400 		INR 34,000
USD 515

Azure BI Training Schedules {Trainer: Mr. Sai Phanindra}

S. No Timings (IST) Start Date  
Azure BI Training Schedules
1 08 AM - 10 AM (Wk) April 3rd week Register
1 10 AM - 12 PM (Wk) Feb 29th Register
MSBI Training Schedules
1 7:15 AM - 8:15 AM Jan 22nd Register
2 5:30 PM - 6:30 PM Jan 20th Register
Power BI Training Schedules
1 9:30 AM - 10:30 AM Jan 27th Register
2 11:30 AM - 12:30 PM Feb 20th Register
3 6:30 PM - 7:30 PM Jan 20th Register
4 8:00 AM - 10:00 AM(Wk) Mar 7th Register

If above schedule does not work, opt for Azure BI Training Videos


AZURE BI TRAINING HIGHLIGHTS :

✔ Basic to Adv. ETL ✔ Basic to Adv. DAX
✔ Data Modelling ✔ OLAP DB Design
✔ Power Query ✔ Basic to Adv. MDX
✔ Kimball BI Design ✔ Inmon BI Design
✔ Star, Snowflake ✔ Data Warehousing
✔ Reports & Dashboards ✔ Power BI Cloud
✔ OLTP, File Data ✔ JSON, XML Data
✔ Mobile Reports ✔ Interview FAQs
✔ Resume Guidance ✔ MCSA MSBI Exam

All Session Are Completely Practical & Real Time

Azure BI Training Course Contents:

Curriculum PDF-Image

Register Today

 

Module I: AZURE DATA FACTORY - 1

Module II: AZURE DATA FACTORY - 2

Module III: AZURE ANALYSIS SERVICES

Ch 1: ADF INTRODUCTION

  • Introduction to Cloud and Advantages
  • Cloud Architecture : IaaS,PasS,SaaS
  • Microsoft Cloud Advantages : Azure
  • Azure BI Components: ADF, AAS, ADLS
  • Azure Data Factory (ADF) : Need
  • Purpose of ADF & Advantages
  • ADF Components Overview, Use
  • Lab Plan : Azure Data Studio (ADS)
  • SQL Server Data Tools (SSDT)
  • Azure Data Factory Architecture
  • ADF : Data Processing Components
  • ADF : Data Movement Components
  • Data Pipelines and ADF Activities
  • Data Orchestration and Datasets
  • ADF Resource Creation in Azure
  • Pipeline Concept, Linked Services
  • SSIS Lift and Shift with ADF

Ch 6: AZURE DATA FACTORY - 2

  • Copy Data From Azure SQL Database
  • Azure SQL Data Warehouse Sinks
  • 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 Data Warehouse
  • Staging Dataset with Polybase, BLOB
  • Data Integration Units [DIU] Usage
  • Azure Data Factory Runtime Engine
  • On-Premise Data Extraction and Loads
  • Self Hosted IR in Copy Data Tool
  • IR Engine Installation, Key Concepts
  • Data From Azure BLOB, Azure Warehouse
  • IR Connections & Authentication Methods
  • IR Tool Configuration and Monitoring

Ch 11: AZURE ANALYSIS SERVICES

  • Introduction to Azure Analytics (AAS)
  • Introduction to Azure Analysis Services
  • Need for Azure Analysis Services in PAAS
  • Various PAAS Components in Azure AS
  • Azure Analysis Vs On-Premise SSAS
  • Azure Blob Server Side Encryptions
  • Azure Analysis Services Data Models
  • Design, Deployment and Access Options
  • MS Excel, Power BI, Tableau Connections
  • Creating Azure Analysis Server
  • Server Name, Location, Pricing Tier
  • Developer, Basic and Standard Tiers
  • Compatibility Levels & Version Support
  • Associating Azure Storage Accounts
  • Server Name, Management Server Name
  • Active Directory - Universal with MFA
  • SSMS Connections : Azure Analyis Server

Ch 2: AZURE SQL CONFIG, DTU

  • Azure Resources and Connections
  • Azure Registration, Subscription
  • Azure SQL Server (Logical Server)
  • Resource Groups and Azure Regions
  • Azure SQL Databases, Pricing Tiers
  • DTU Concept and Automated Tuning
  • Azure SQL Database Creation
  • Source, Pricing Tiers, Collation
  • Firewall Rules and Virtual Networks
  • Azure SQL DB Connection with SSMS
  • Azure Storage Resources, Purpose
  • Azure Storage Containers, Tools
  • LRS, GRS and RA-GRS Azure Types
  • RA-GRS : Hot & Cold Storage Access
  • Creating Containers in Azure Store
  • BLOB Data Files: Uploads & Downloads
  • Storage Keys and Security Options
  • Azure Storage Explorer Tool
  • Account Configuration with ADS Tool

Ch 7 : AZURE DATA FACTORY - 3

  • 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
  • Watermark Column Extraction
  • Activity Connections in ADF Portal
  • 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
  • Working with Lookup Connections in ADF
  • Output() Functions & Item() Functions

Ch 12: DATA MODEL DESIGN - 1

  • Creating Data Models in Azure AS
  • Using Azure SQL Database Sources
  • Working with SQL Server Data Tools
  • Compatibility Checks for Azure Server
  • Integrated Workspace Options for AAS
  • Define BIM : Business Intelligence Models
  • In-Memory Vertipaq Databases Usage
  • End to End Implementation of AAS
  • Using Azure Active Directory (AAD)
  • Universal MFA Authentication @ SSMS
  • Data Imports into SSDT Tabular Model
  • Identifying Measures, Measure Groups
  • Identify Dimensions and Attributes
  • Creating KPIs in Data Model
  • Hierarchies creation in Data Model
  • Tabular Mode Deployments with AAS
  • OLAP Tabular Models From SSDT Tool
  • OLAP Database Access from SSMS
  • MDX Queries and Cube Browser in SSMS

Ch 3: AZURE MIGRATIONS

  • Database and Data Migration Options
  • Azure Data Migrations with DMA Tool
  • On-Premise Database Assessments
  • Migration Scope, Object Scripting
  • Schema Migration and Data Migrations
  • Database Exports into BACPAC Files
  • Azure Storage Container For Imports
  • Database Imports using Azure Portal
  • Database Imports using SSMS Tool
  • On-Premise Versus Azure Architecture
  • Server Architecture Differences
  • Database Architecture Differences
  • Table Architecture Differences
  • Query Processing Differences
  • T-SQL Query Keyword Differences
  • Memory Resources and Bugger Manager
  • DB File Structures and Protocols

Ch 8 : AZURE DATA FACTORY - 4

  • 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 Azure Storage
  • Dynamic Sources and Destinations
  • Data Preview & Dynamic Content
  • Linked Services & Datasets Creations
  • ADF Pipeline Executions, Run IDs
  • Dynamic File Formats and Connections
  • ADF Pipeline, Trigger Execution Runs

Ch 13: DATA MODEL DESIGN - 2

  • Data Model Design with On-Premise Data
  • Using On-Premise SQL Server Databases
  • Using Relational / Unrelational Data
  • Cube Design (Tabular) in On-Premise
  • SQL Server Analysis Services Models
  • OnPremise 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 Using Storage Containers
  • On-Premise Data Backups into ABF
  • Uploading ABF Files to Azure Storage
  • Restoring ABF Files From Azure Server

Ch 4: AZURE DATA WAREHOUSE

  • Azure Data Warehouse (ADW)
  • Key Benefits of Azure Synapse
  • ADWH Resource Creation in SQL Server
  • Scaling Options, Compute Engine
  • ADW Connection from SSMS Tool
  • Data Warehouse Details: Name, Server
  • cDWU & DWU : Real-time Usage, Pricing
  • DWs and Scaling Options: DW Series
  • Massively Parallel Processing (MPP)
  • Sharding Benefits with MPP in DWH
  • Control Node and Compute Node
  • Data Distribution Components in ADW
  • DMS : Data Movement Service
  • Hash Functions, Distributed Tables
  • Round-robin Distributed Tables
  • Replicated Tables in Azure DWH
  • Queries Distribution, Nodes in ADW
  • Dynamic Management Views (DMV)

Ch 9: AZURE DATA FACTORY - 6

  • Azure Data Lake Storage Environment
  • Azure Data Lake Gen 1 and Gen 2
  • Using ADF to get data from Data lake
  • ADF Integration with Azure Data Store
  • Scale-Out and Managed Data Transfer
  • Copy Data Performance Monitoring
  • Monitor, Activity Runs and Options
  • Data Partition Recommendations in ADL
  • Size Limitations and ADF Activities
  • Azure Data Warehouse Management
  • Threat Detection, Threat Protection
  • Dynamic resource classes, ADW Queries
  • Resource Class Operations & Precedence
  • Backups and Restores with ADWH
  • Export and Import Options with ADWH
  • TDE Option and Maintenance Schedules
  • Security Management, Role Based Access
  • Azure DWH Alerts and Rule Creations

Ch 14: Azure AS Managment

  • Azure Analysis Services Management
  • Start and Pause Options in Azure AS
  • Scale-Up and Scale-Down Options
  • Activity Logs : Real-time Usage
  • Events : Critical, Error, Warning
  • Information Events and Monitoring
  • Quick Insights and Diagnostics
  • Log Analytics and Storage Options
  • Replica Options with Azure AS
  • Azure Analysis Backups and Restores
  • Firewall Settings, Power BI Access
  • Metrics : Memory & CPU Usage Reports
  • Azure Security Management Options
  • Owner, Contributor and Reader Roles
  • Adding New Roles, Adding AD Users
  • Security Management from SSMS
  • Admin Permissions, Cube Roles with DAX
  • Common Errors and Solutions ; Azure AS

Ch 5: AZURE DATA FACTORY - 1

  • Azure Data Factory (ADF) : Purpose
  • Creating ADF Resource in Azure, Use
  • Pipeline Creation and Usage Options
  • Copy Data Tool in ADF Portal, Use
  • Linked Service Creation in ADF
  • Dataset Creation, Connection Reuse
  • Staging Dataset with Azure Storage
  • ADF Pipeline Deployments, Triggers
  • Polybase Benefits for Data Staging
  • Using Azure Data Factory (ADF) Portal
  • Pipeline Creation, Resources in Portal
  • Pipeline Activities and Properties in ADF
  • Linked Service Creation and Datasets
  • ADF Pipeline Validations in Portal
  • Publish Options & Pipeline Deployment
  • Pipeline Monitoring and RUN IDs
  • Trigger Now and Monitoring Options

Ch 10: AZURE DATA FACTORY - 7

  • Execute SSIS Packages in Azure
  • Azure-SSIS Integration Runtime, SSDT
  • Azure-SSIS IR Creation and Use
  • IR Setup and Cluster Size, Nodes
  • License Options, Location, Cores
  • Node Numbers & Parallel Executions
  • SSISDB Project Deployment Model
  • Execute SSIS Package Activity
  • Executing SSIS Packages in ADF
  • SSIS Project Connections to ADF
  • Azure Storage for SSIS Packages
  • Execute SSIS packages in Azure
  • SSIS Package Migrations to ADF
  • SSIS Catalog DB with ADF
  • On-Premise SSIS Versus Azure
  • SSIS Lift and Shift with ADF
  • Branching and Chaining in ADF

Ch 15: End to End Implementation

  • End to End Implementation of BI
  • Using On-premise Data Sources
  • Using Azure SQL Database Sources
  • Using Azure SQL Warehouse Sources
  • Azure Data Factory Implementation
  • Creating Data Pipelines in ADF
  • Linked Services and DataSets
  • Pipeline Execution Runs in ADF
  • Testing Azure Synapse Database
  • Using Azure Synapse in SSMS Tool
  • Using azure Synapse for Data Models
  • Azure Synapse Data Access in SSDT
  • Developing Data Models in Azure AS
  • Compatibility Checks and In-Memory
  • Azure Analysis Server Deployments
  • OLAP DB Automations and Processing
  • Security Management and Scale-Out

Module I: Power BI Basics, Visuals

Module II: ETL and Data Modeling

Module III: Power BI Service (Cloud)

Ch 1 : POWER BI INTRO, INSTALL

  • Need for Big Data and BI Technologies
  • Power BI : Self-Service BI, Usage Scope
  • Data Analyst, Data Scientists Job Roles
  • Power BI Developer, Admin - Job Roles
  • Power BI Vs MSBI & SSRS Vs Tableau
  • Career Options: SQL + Power BI + MSBI
  • MCSA 70-778 Power BI Examination Plan
  • Power BI Architecture and EcoSystem
  • Report Types and Power BI Licensing Plans
  • Developer Tools, Mobile Apps, Gateways
  • Power BI Cloud Account Creation, Usage
  • Power BI Desktop and Power BI DesktopRS
  • Report Builder and Power BI Mobile Tools
  • Power BI Training Course - Lab Plan

Ch 7 : POWER QUERY - LEVEL 1

  • Power Query [M Language] - Architecture
  • Basic Data Types, Literals and Values
  • M Language : Data Mash Up & Primitives
  • let, source, in statements in M Lang
  • Functions, Parameters, Frowns, Invoke
  • Advanced Editor, Grouping, Load / Unload
  • Query Reference, Query Duplicate, Steps
  • Power Query Transformations Categories
  • Query Combine & Union Transformations
  • Merge Transformation Join Kinds, Grouping
  • Truncate, Replace, Split, Reduce Rows
  • Manage Columns, Aggregation Column Formats
  • Transpose, Reverse Rows Transformations
  • Power Query - Row Count and Replace

Ch 13 : POWER BI CLOUD

  • Power BI Service (Cloud) Architecture
  • App Workspace Creation in Real-time
  • Publish Reports from Power BI Desktop
  • Reports, Datasets in Power BI Cloud
  • Dashboards : Pins, Tiles and Shares
  • Pin Visuals and Pin LIVE Report Pages
  • Dashboard Actions : Metrics, Themes
  • REST APIs and Streamining Datasets
  • Pubnub Datasets, API Tiles @ LIVE Data
  • Report Actions: Metrics, Shares
  • Insights, Q & A, Visual Options
  • Persistent Filters, Cross Filtering
  • Report Edits, Filters, Embed Codes
  • Performance Inspector and QR Codes

Ch 2: REPORT DESIGN CONCEPTS

  • Designing Reports using Power BI Desktop
  • Report Visuals, Fields, Pages and Filters
  • Report, Data and Relationship Options
  • Enter Data and Get Data in PBI Canvas
  • Power BI Visualizations & Types, Reports
  • SPOTLIGHT, Web / Mobile, View Options
  • PBIX and PBIT File Formats. Differences
  • Table Visual : Grid Properties and Pages
  • Visual Options : Export and Focus Mode
  • Basic Modelling - Summary,Format,Currency
  • Visual Interactions & Values in Power BI
  • Edit Interactions - Filter, Slice Options
  • Slicer : Number, Text and Date Conditions
  • Visual Sync Property and Limitations

Ch 8 : POWER QUERY - LEVEL 2

  • Data Type Detections and Conversions
  • Fill Up/Fill Down, Rename, Move, Split
  • PIVOT and UNPIVOT Transformations
  • FORMAT, FILTER and ConvertToList()
  • EXTRACT, PARSE, NUMBER, COMBINE
  • DELETE and DELETE UNTIL END
  • Step Edits, New Steps, Step Inserts
  • Working with Date, Time Transformations
  • Deriving Year, Quarter, Month, Day
  • Add Column / Custom Column Transformation
  • Columns From Examples, Index Columns
  • JSON, XML and Query Combine - M Language

Ch 14 : POWER BI CLOUD, EXCEL

  • Defining Datasets in Cloud : Imports
  • Defining Workbooks in Cloud : Uploads
  • Reports from Excel Imports and Datasets
  • Dashboards from Workbooks, Excel Online
  • Creating and Using Content Packs
  • Organizational, Service Content Packs
  • Publishing App Workspace, Updates
  • Using Excel with Power BI Reports
  • Using Excel Analyzer in Power BI
  • Using Excel Publisher in PBI Cloud
  • Excel with Power BI Profiles, Pivot
  • Excel ODC Connections - Power Pivot
  • Connect Options : Excel to PBI Cloud
  • DAX Measures with Excel Analyser

Ch 3 : HIERARCHIES, FILTERS

  • Grouping and Binning with Fields
  • Bin Size and Biz Limits (Max, Min)
  • Creating Hierarchies. DrillDown Reports
  • Drill Thru Reports and Conditional Filters
  • Expand, Expand All Down, Goto Next Level
  • Drill Up, Drill Down. Exclude and Include
  • See Data, Export Data, See Records Options
  • Filters : Types and Usage in Real-time
  • Visual Filters, Page Filters, Report Filters
  • Drill-thru Filters with Hierarchy Levels
  • Basic, Advanced, TOP N Filters - Usage
  • Filtering at Category Level, Summary Level
  • Slicer Versus Filters - Comparisons

Ch 9 : POWER QUERY - LEVEL 3

  • Parameter Creation, Edits and Real-time Use
  • Parameter Data Types, Default / Current Values
  • Static Lists, Dynamic Lists For Parameters
  • Creating Parameters in Data Set Queries
  • Converting Columns to Lists in Power Query
  • Dynamic Dropdowns, Multi Valued Parameters
  • Data Conversions and toText() Functions
  • Data Modeling Options - Custom Columns
  • Columns From Examples, Indexed Column
  • Conditional Column, Custom Functions
  • Variables, Parameters - Power Query
  • IF..ELSE Conditions in Power Query
  • Loops and Cases in Power Query Expressions
  • Using Power Query Result in Power BI

Ch 15 : POWER BI CLOUD (ADMIN)

  • Power BI Data Gateway - Architecture
  • Gateway Installation, Configuration
  • Single Sign On Security, Kerberos
  • Incremental Loads and Privacy Levels
  • PBIEngw Service and ODG Logs, Audits
  • DataFlows Creation - Gateway Connections
  • Using Data Flows and Power BI Datasets
  • Security Levels in Power BI Cloud
  • Dashboard Security, Report Security
  • Dataset Security - Read and Reshare
  • App Workspace Security Management
  • Content Pack Security, Featured Items
  • Creating, Managing Alerts in Cloud
  • Row Level Security (RLS) with DAX

Ch 4 : BOOKMARKS, BIG DATA

  • Using Buttons, Images in Power BI Canvas
  • Bookmarks in Power BI Desktop - Usage
  • Buttons, Actions and URLs with Text
  • Using Bookmarks for Visual Filters
  • Using Bookmarks for Page Navigations
  • Using Selection Pane with Bookmarks
  • Buttons, Images in Power BI Desktop
  • Power BI Reports with OLTP Databases
  • Power BI Reports with OLAP Databases
  • Power BI Reports with DWH Databases
  • Power BI Reports with Big Data Sources
  • On-premise, Azure Cloud Database Access
  • Import and Direct Query with Power BI
  • Connect LIVE options in OLAP Databases

Ch 10 : DAX FUNCTIONS - LEVEL 1

  • DAX : Importance and Real-time Usage
  • DAX as library of Functions, Operators
  • Real-world usage of DAX with Power BI
  • Formulation Rules and DAX Data Types
  • In-Memory xVelocity Vertipaq Engine
  • Syntax, Functions, Context Options
  • ROW Context and Filter Context in DAX
  • Creating and Using Measures with DAX
  • Creating and Using Columns with DAX
  • Data Modeling Options in DAX
  • Detecting & Adding Relations for DAX
  • Power BI DAX Functions - Types, Usage
  • Quick Measures in DAX - Auto validations
  • Deciding / Identifying Measures & Columns

Ch 16: Report Server, Mobile Reports

  • Power BI Report Server - Installation
  • Report Server Databases and Web URLs
  • Hybird Cloud [Tenant] Configuration
  • Deploying Reports to Power BI Server
  • Report Builder Paginated Reports, Upload
  • SQL Server Agent, Credentials, Pins
  • Paginated Reports Vs Interactive Reports
  • Power BI Mobile Reports - Configurations
  • Mobile Report Design Tools, Data Sources
  • Power BI Mobile Elements and Grid Counts
  • Excel Data for Power BI Mobile Reports
  • Report Server Sources and Report Hosting
  • Navigation Options with Power BI Mobile
  • Mobile Reports Vs Interactive Reports

Ch 5 : POWER BI VISUALS - LEVEL 1

  • Table Visual and Matrix Visuals: Styles
  • Column Formatting, Conditional Formatting
  • Divergent Colors, Grids, Groups, Totals
  • Chart Reports : Axis, Legend, Value, Labels
  • Stacked Bar Chart, Stacked Column Chart
  • Clustered Bar and Clustered Column Chart
  • 100% Stacked Bar and Stacked Column Charts
  • Line Chart, Area Chart, Stacked Area Chart
  • Ribbon Chart and Scater Chart : Play Axis
  • Match Series, Plot Area, Color Saturation
  • Waterfall Chart - Sentiment Colors
  • Breakdown Count - Decrease / Increase
  • Join Types, Lines: Round, Bevel, Miter
  • Shapes and Markers in Power BI Visuals

Ch 11 : DAX FUNCTIONS - LEVEL 2

  • Date and Time & Text Functions
  • Time Intelligence Functions in DAX
  • Logical & Mathematical Functions
  • Data Modeling with DAX. Creating Roles
  • SUM and DATEDIFF Examples in DAX
  • TODAY, DATE, DAY Arguments with DAX
  • DIVIDE, CALCULATE, Variables
  • IF..ELSE..THEN, RELATED & COUNTROWS
  • SELECTEDVALUE, FORMAT Functions
  • CALCULATE, SUM, ALL Functions
  • FILTER with ROWCOUNT, USERELATIONSHIP
  • EARLIER for Time Based Comparisons
  • Using Variables in DAX Computations
  • Considerations for Quick Measures
Ch 17: POWER BI INTEGRATIONS

Power BI with MSBI Integrations
  • Power BI with MSBI - SSAS OLAP Database
  • Multidimensional, Tabular Mode Databases
  • Import Data and Connect LIVE Options
  • Using MDX & DAX with Power BI Reports
  • Excel Integration with Power BI, SSAS
  • Converting SSRS Reports to Power BI
Power BI for Data Scientists
  • Enabling R Script in Power BI, RMAN
  • Installing R Studio, FORECAST Packages
  • Using R Script Visuals in Power BI
  • Python Visuals in Power BI
  • ETL, Data Modeling with Python

Ch 6 : POWER BI VISUALS - LEVEL 3

  • Tree Map Visual and Funnel Visual
  • Gauge, Donut, Single Row, MultiRow Card
  • Callout Values in KPI Reports and Use
  • Indicator, Trend and Target Goals in KPIs
  • Map Reports and Filled Map Reports
  • ArcGIS Maps - Latitudes and Longitudes
  • Data Points, Series and Data Analytics
  • Constant Lines and Threshold Values
  • Marketplace Visuals and PBIVIZ Files
  • HeatMaps - Visual, Real-time Usage
  • FlowMaps - Visual, Real-time Usage
  • Table HeatMaps with Real-time Usage
  • GanttChart - Visual, Real-time Usage
  • Power BI Infographics, Custom Visuals
  • PBI Infographics with Big Data Sources
  • Custom Visual Limitations & Migrations

Ch 12 : DAX FUNCTIONS - LEVEL 3

  • AVERAGEX and AVERAGE in DAX
  • KEEPFILTERS, COUNTROWS, RELATED
  • DIVIDE with FILTER, ALLSELECTED
  • ALL, MAX, PARALLELPERIOD, DATEDADD
  • CALCULATE with PREVIOUSMONTH
  • FILTER with ROWCOUNT, USERELATIONSHIP
  • TOTALYTD , TOTALQTD, TOTALMTD
  • SAMEPERIODLASTYEAR, IF, VARIANCE
  • DATESINPERIOD and AVERAGEX
  • DAX Variables, Time Type Dimensions
  • HOUR, NOW, SWITCH, TRUE - RETURNs
  • DAX Modeling Components - use
  • TABLES, COLUMNS, RELATIONS
  • MEASURES and HIERARCHIES
  • INTELLISENSE with DAX Editors
  • DISTINCTCOUNT and DIVIDE

Ch 18 : Real-time Project

Case 1: Real-time Project for Power BI
  • Includes Power BI Dev, Data Modeling
  • Includes Power BI Cloud, Report Server

Case 2: Real-time Project for SQL + Power BI
  • Includes Power BI Dev, Data Modeling
  • Includes Power BI Cloud, Report Server
  • Includes SQL Database Queries, Joins

Case 3: Real-time Project for MSBI + Power BI
  • Includes Power BI Dev, Data Modeling
  • Includes Power BI Cloud, Report Server
  • Includes SQL Database Queries, Joins
  • Includes OLAP, DWH and HTAP Data Sources

SQL Server Integration Services (SSIS)

SQL Server Analysis Services (SSAS)

SQL Server Reporting Services (SSRS)

DAY 1: SSIS Introduction, Installation

  • SQL Server Integration Services Intro
  • Purpose of SSIS: ETL & DWH Operations
  • SSIS Advantages: Data Loads, Operations
  • SQL Server Data Tools & ETL Wizards
  • SSIS Design & Development Tools: SSDT
  • LIVE (Deployment) Environment, SSISDB
  • Data Warehouse Design & ETL Process
  • Data Warehouse (DWH) Design Principles
  • SSIS Database Install & SSIS Catalog
  • SSIS Configuration and Encryptions
  • SSIS Catalog DB Creation, Verification
  • SSDT Tool: SQL Server Data Tools - SSDT
  • SSIS Developer Environment (SSDT)
  • Basic Vocabulary: ETL, DWH, Data Flow
  • SSIS Package Environment, SSDT Projects
  • SSIS Solutions and Project Templates
  • Version Control and SSIS Design Plan
  • SSIS Online Training: Lab Plan, Resources

DAY 2: Data Flow Tuning Options - SSIS

  • Control Flow Tasks: Architecture, Purpose
  • Data Flow Tasks - Architecture and Usage
  • SSIS Packages: Data Flow Operations
  • Pipelines & Connections in Data Flow
  • SSIS Package Design and Execution
  • Data Flow Objects, Control Tasks in SSIS
  • Data Extraction Drivers with Data Flow
  • OLE DB & SQL Server Connections Usage
  • SSIS Packages and Control Flow Items
  • SSPI, Data Source and Initial Catalog
  • DTSX Files for SSIS Package Executions
  • Executions, Package Errors and Logs
  • Data Flow Transformations, Data Splits
  • Excel Connections & Memory References
  • Source Assistants & Destination Assistants
  • DAT File Imports, Data Flow, Annotations
  • Package Errors, Solutions in Real-time
  • SSIS Project Configuration & Debugging
  • Build & Version Control Options for SSIS
  • 64 Bit & 32 Bit Configuration Options

DAY 3: SSIS Entities with Data Loads

  • ETL and DWH Implementations with SSIS
  • Kimball Method of BI Design, Dimensions
  • Bulk Loads and Data Imports in SSIS
  • Historical Loads & Incremental Updates
  • Debugging Controls in SSIS - Limitations
  • Data Flow Debugging Data Viewer Options
  • Synchronous & Asynchronous Data Loads
  • Row, Partial, Full Blocking Transformation
  • Avoiding Blockings and Buffer Reuse
  • MERGE, MERGEJOIN and UNION ALL
  • SORT, NOSORT Options, Advanced Sort
  • Conversion Transformation, Expressions
  • Tuning Data Flow Tasks with Fast Loads
  • Fast Load Options in OLE DB Connections
  • Tabular Data Stream (TDS): Packet Sizing
  • SSIS Tuning with Row Size Calculations
  • Rows Per Batch - Data Commit Options
  • Transactions & Batch Scoped Data Loads
  • Regular Loads and Fast loads in ETL / DW

DAY 4: Data Extraction (ETL) & DWH

  • Legacy Data Imports, Data Cleansing
  • Data Formatting and Warehouse Design
  • Denormalization and Keys in DWH
  • PIVOT, Data Reads, Connection Assistants
  • Pivot - Implementation and Key Values
  • Lineage ID - Purpose, Data Mappings
  • Input Columns, Source Column Mapping
  • Data Exchange with Pivot Key Values
  • Data Viewer & Debugging for SSIS
  • Fuzzy Lookup, Reference Connections
  • Exact, Fuzzy, Nomatch Data Cleansing
  • Threshold Values & Token Delimiters
  • Type Conversions and Error Redirections
  • ForEach Loop Container, DFT Variables
  • Connection Iterations, Fetch & Mapping
  • Connection Strings with Package Variables
  • Package Audits for Dynamic Connections
  • Identity_Insert and Table Locks in ETL
  • Text Qualifiers and Data Loads with .dat
  • SSIS Expressions, Data Cleansing Options

DAY 5: SSIS with ETL, Warehouse (DWH)

  • OLTP Database to 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
  • Dimensional Table Design - Type 1
  • Dimensional Table Design - Type 2
  • 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

DAY 6: SSIS Checkpoint, Transactions

  • Scripts for Control Flow, Error Redirections
  • Execute SQL Task and OLE DB Queries
  • SSIS Transactions and Manual Rollbacks
  • Precedence Constraints: Static/Dynamic
  • Parallel & Sequential Task Executions
  • SSIS Checkpoints with Data Flow Tasks
  • Checkpoint Files, SSIS Logging Options
  • Transactions with Checkpoints in SSIS
  • Checkpoint Options - Advantages, Usage
  • SSIS Variables in ETL Data Flow Scripts
  • Static & Dynamic Variables in Containers
  • SSIS Events and Event Handling Options
  • Package Level & Project Level Parameters
  • Parameter Expression, Data Types, Binding
  • Dynamic Precedence Constraints, Types
  • FailPackageOnFailure and Checkpoints
  • REQUIRED / SUPPORT, NOTSUPPORTED
  • Transaction Property Versus CHECKPOINTs
  • Bypass Prepare Options & Event Handling

DAY 7: CDC Tranformations 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 Data Loads for Dimensions
  • Incremental Data Loads for Dimensions
  • 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,Prameter Binding
  • Package Passwords, Project Parameters
  • Project Configuration Options(32,64 bit)

DAY 8: Cheksum & DWH Design

  • Checksum Transformation in ETL Loads
  • Configuring Checksum: SSIS 2017, 2016
  • 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
  • FULLCACHE, NOCACHE, PARTIAL CACHE
  • Performance Tuning and Pre-ETL Loads
  • Dependent Data Flow Tasks, Post ETL
  • Internal Parameters and Query Updates
  • OLEDB Command & Conditional Splits
  • Cache Allocation Options with ETL DWH

DAY 9: SSIS Customizations with .NET

  • Script Task in SSIS Control Flow
  • Script Task with VB.NET Programs
  • Script Task with C#.NET Programs
  • Variables and Parameters with Script Task
  • ReadOnly, ReadWrite Variable Expressions
  • Namespace, System.IO, System.DTS
  • Data Flow Limitations with .NET Scripting
  • SSIS Expressions, Debugging, BreakPoints
  • Variable - Parameter Mapping Expressions
  • Control Flow Sequence Containers, Usage
  • Control Flow File System Limitations
  • .Net Scripting for SQL Reads/Writes
  • SQLDataAdapters, System.Data.SQLClient
  • DTS Packages to SSIS Data Tools Project
  • Package Upgrade & Versioining Options
  • SSIS Configurations, Dynamic Connections
  • Variables and Parameters for Script Task
  • SSIS Package/Project Conversion Process
  • SSIS Package Upgrades, Package Backups

DAY 10: XML Connections, ODBC, LOOPS

  • System.Data.SQLClient Providers: Usage
  • Dynamic Connections, Loop Expressions
  • Expressions with File Specifications
  • For Each File - Dynamic Directories
  • Variables with Indexed Connections
  • XML Connections & Operating Data
  • ODS Connections, Dynamic Reusability
  • Advanced Connections: XML, DT_NTEXT
  • XML Queries @ Sub Queries. XML Imports
  • RAW - DTSPipeline Wrapper, RAW Adapters
  • Row Sampling and Percentage Sampling
  • SSIS Logging & sysssislog Audit Tables
  • Package Logging and Container Events
  • SSIS Data Profiler Tool, ADO.NET and XML
  • SQL Data Profile Viewer Tool with XML
  • Nullability Checks, Fast Load @ Row Size
  • ADO.NET for SQL Profiler Tool, Options
  • Time-Out for Quick Profile, Candidate Keys
  • Value Length Distribution, Surrogate Keys
  • XML Imports for Data Profiler Viewer Tool

DAY 11: Fact Table Design, DWH Loads

  • Fact Table - Design and ER Model
  • Fact Table - STAR, SNOWFLAKE Schemas
  • Time Dimensions and ETL Date / Time
  • Link Time Dimension to Facts, Lookups
  • Parent-Child Packages for Fact Loads
  • Master Package: Dimension, 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
  • Connections, Parameters in Master-Child
  • Key Based Dimension LOOKUPs, Indexes
  • SCD Implementation with Legacy Data
  • 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
  • Advantages of SSIS ETL/DWH Concepts
  • STAR & SNOWFLAKE Schemas in SSIS

DAY 12: SSIS Deployments, upgrades

  • SSISDB Catalog Deployments, ISPAC File
  • SSIS Builds, Verification Techniques
  • Project Deployment Targets, Logging
  • SSIS DB Catalog Creation, Usage
  • SSIS Package Executions Reports
  • Package Validation (32/64bit) Reports
  • SSIS Package Configuration Scripts
  • SSIS Package Jobs from SQL Agent
  • SSIS Job Schedules and Event Logs
  • SQLISPackage130 Event Error Logs
  • Security Management - SSISDB Logins
  • ssis_admin, failover_monitoring_agent
  • Folder and Project Level Security
  • Execute/Write, Content Management
  • Business Intelligence Dev Studio
  • SMO Connection with BIDS. Builds
  • Adding DTS, SSIS Packages, UPGRADES
  • Project Migration and Passwords
  • Importing ISPAC Files into Projects
  • Command-Line (CLI) Deployments
  • SSIS ETL/DW Procedures and Data Audits
DAY 13: One Realtime Project for SSIS & DWH

DAY 1: Introduction to SSAS & MDX

  • Install & Configure SSAS 2017, 2019
  • SSAS Component, Tools - Operation Modes
  • Multidimensional Mode : Purpose, & Usage
  • Tabular Mode : Purpose, Usage (ROLAP)
  • PowerPivot Mode : Purpose and Usage
  • Multidimensional Databases (OLAP)
  • ROLAP & MOLAP Stroage Differences
  • SSAS Service Accounts - SQL Browser
  • SSDT 2017, 2015 Installation, Verification
  • SSDT 2013 Installation and Verification
  • SSAS Training - Lab Plan and Resources
  • OLAP: Measure Groups & Measures
  • Cube Design Entities & MDX Queries
  • Attributes, Hierarchy and Members
  • Meausure Groups and Dimensions
  • SSAS Workflow in Real-world - Kimball
  • SSAS Workflow in Real-world - Inmon
  • Data Source Config, DB Installations

DAY 2: Basic Cube Design with SSAS

  • Analysis Entities in OLAP Database
  • OLAP Databases and Cubes For Analysis
  • Kimball & Inmon Methods Of SSAS Design
  • A Realworld Example - Sales Scenario
  • Sample Analysis Requirements & Entities
  • Basic SSAS Database Entities & Usage
  • SQL Server Data Tools & SSAS Templates
  • Data Source, Views and Cube Designer
  • Dimension Wizard & Attribute Selection
  • BUILD, DEPLOYMENT & PROCESS options
  • OLAP Cube Process - Online Deployments
  • Cube Browsing in SSMS & ADOMD Client
  • Excel Connections for OLAP Cube Access
  • Excel PIVOT Tables and Chart Reports
  • Piechart Reports and Attribute Filters
  • Common Deployment Errors & Solutions
  • Server Impersonation - NT AUTHORITY
  • OLAP Deployment Warnings and Solutions
  • Data Source to SSDT : Issues, Solutions
  • End to End Implementation of SSAS

DAY 3: Cube Design - Keys, Hierarchies

  • Attribute Keys and Relations
  • Entities, Computed Columns, Filters
  • Database Dimensions Identifications
  • Cube Dimensions: Identification, Usage
  • Data Source Connection Strings, Options
  • Named Queries and Calculations in DSV
  • DSV : Data Explore & Verifications
  • DSV Expressions & Named Calculations
  • Cube as a Subject Oriented OLAP Object
  • Cube Access Methods : Cube Browsers
  • MDX Filters and Browser Options
  • Conditional Formats and Formatting
  • Cell Styles and ODC Connections
  • Cube Browser - Drilldown & Drillthrough
  • Hierarchies : Attribute Levels and Purpose
  • Performance Warnings, Attribute Relations
  • Composite Attribute Keys, Hierarchies
  • Duplicate Key Errors and Member Names
  • Cube Slicing and Dicing Options

DAY 4: MDX Queries & Expressions

  • MDX Syntax and Axis - ROWS, COLUMNS
  • Practical Advantages of MDX Queries
  • MDX Cube Reports, Cube Writebacks
  • MDX for KPIs, Actions and Security
  • MDX Queries with Dimension Attributes
  • Members, Axis Levels and Granularity
  • Hierarchies, Levels & Attribute Keys
  • MEMBERS, CHILDREN, ALL MEMBERS
  • Cell Value Comparison and Aggregates
  • Tuple and Set Representations, JOINS
  • TOPCOUNT / HEAD, BOTTOMCOUNT/ TAIL
  • WHERE, EXCEPT, RANGE, Operators
  • NONEMPTY. Limitations with WHERE
  • MDX PARENT & CHILDREN. Tuple Inverse
  • FILTERS - CURRENT & EMPTY MEMBERS
  • FILTERS - AND / OR, LEFT / RIGHT Range
  • MDX Query Batches - GO. Sub Queries
  • ADOMD Client: MDX Query Processing
  • MDX for Formatting. Member Binding
  • MDX in Cube Browser - Null, Empty Axis

DAY 5: MDX Calculations

  • Calculations with MDX Scripts. Syntax
  • Calculations and Folders: Browser Usage
  • Relating and Reusing Calculations
  • MDX Calculations in Search Patterns
  • Conditional Expressions @ MS Excel
  • TIME DIMENSIONS - Usage Options
  • Time Keys and Attributes - Usage
  • Adding Hierarchies to Time Dimensions
  • Dimension Enhancements - Advantages
  • Cube Enhancements: Purpose, Usage
  • Time Calculations - MDX Expressions
  • SCOPE, THIS, FREEZE & MDX Formats
  • Hierarchies For Time Enhancements
  • Time Calculations For Hierarchies
  • MDX Scripting for Time Calculations
  • Browsing Time Calculations in MDX
  • Used Defined Time Calculations with MDX
  • Measure Level Calculations and Granularity
  • Associated Measures & Pie-Charts
  • MDX Query Tuning with MOLAP/ROLAP

DAY 6: Partitions & Storage Modes

  • Partitions : Purpose and Architecture
  • Cube Partitions : Storage, Slice Options
  • Query Binding and Table Binding Options
  • Default Partition Location Storage
  • Role of Measure Partitions in Cubes
  • Aggregations - Predefined Calculations
  • Full, Default, None and Unrestricted
  • Aggregations with Optimization Levels
  • Measure Properties, Default Aggregations
  • Aggregations on Measures and Dimensions
  • Cube Slicing and Reusability Options
  • Additive and Semi-Additive Measures
  • Estimated Row Count and Tuning
  • Storage Modes : Multidimensional
  • Aggregation & Measure Group Storage
  • Automatic, Scheduled, Medium Latency
  • Low Latency and Custom Scheduling
  • Proactive Caching and Silence Override
  • Cache Rebuild & Perspectives

DAY 7: Key Performance Indicators

  • KPI - Purpose, Design Options
  • GOAL, VALUE, STATUS, TREND, WEIGHT
  • Data Driven Goals - MDX Expressions
  • Variance and Value Computations
  • KPI Organizer & Metadata Refresh
  • Associated Measure Groups For KPIs
  • KPI Design, Time Based Analysis Options
  • Parent - Child KPIs : Design Options
  • KPI Calculations and MDX Functions
  • FORMAT_STRING and MDX Operators
  • PARALLELPERIOD & CLOSINGPERIOD
  • SESSIONSCOPE, MEMBER, SOLVE_ORDER
  • Parent KPIs with Member, KPI Browser
  • Excel Pivot Reports with KPI - Variance
  • Drill-Up & Drill-Down - Pivot Tables
  • Perspectives with Calculations & KPIs
  • Role Playing, Fact, Factless Dimensions
  • Referenced & Conformed Dimensions
  • Degenerate, Junk, Hierarchical Dimensions

DAY 8: SSAS Project Deployment

  • SSAS Deployment Tools. BUILD Options
  • Configuration Files - Contents & Targets
  • Deployment Options, Transaction Settings
  • SSAS Deployment Wizard : Impersonation
  • Deployment Accounts, Lazy Aggregations
  • Key Error Logs, Locations. XMLA Scripts
  • OLAP Processing - Full, Default, None
  • Scripting OLAP Databases with XMLA
  • Cloning OLAP Database, Process Scripts
  • Partition Management - SPLIT, MERGE
  • Aggregation Management, Cube Slices
  • Force Commits and Cube Slices, Visibility
  • Database Level and Cell Level Security
  • MDX Expressions & Dynamic Security
  • Read Contingent Permissions. Writebacks
  • SQL Agent Jobs with XMLA. Server Audits
  • OLAP Job Audits and Event Messages
  • Processing Jobs and DB Synchronizations

DAY 9: Tabular Mode : Cube Design, MDX

  • Tabular Mode: Importance, SSDT Templates
  • Workspace Server, Configuration Settings
  • Entity Identification, ODBC Connections
  • ODC, ROW/Column Filters. Named Queries
  • Hierarchies, Attributes and Members
  • Time & Non-Time Hierarchies @ Tabular
  • Aggregated Measures and KPI Generation
  • Static and Dynamic Goals. Status, Trend
  • Partitions - Entity Level & Cell Reuse
  • Time Based Hierarchies in Tabular Mode
  • BUILD and Deployment - XMLA Scripts
  • InMemory and Direct Query Modes
  • In-Memory with Direct Query - Uses
  • Direct Query with In-Memory - Uses
  • Virtual Cube Browsing Options. MDX
  • Filters - Semantic Definition Language
  • Cube Design with STAR,SNOWLFLAKE
  • FILTER(), MDX Joins, SCOPE, TOPPERCENT
  • xVelocity and Direct Query with MDX / DAX

DAY 10: Tabular Mode : Dax Expressions

  • DAX: Query Syntax. ROW & CONTAINS
  • Measures inside DAX Query. ROLAP Cube
  • DAX Measures in MDX Queries, Drillthrough
  • CALCULATETABLE, FILTER, ADDCOLUMN
  • CROSSJOIN, GENERATE, GENERATEALL
  • FILTER in CALCULATE, CALCULATETABLE
  • TOPRANK, RANKX, RANK.EQ, DAX Filters
  • LOOKUPVALUE, SUMMARIZE & Vertipaq
  • MDX - Sub Queries, Nested Sub Queries
  • Direct Query & Data Modelling in Tabular
  • Optimizing Performance, MS Excel ODC
  • Row and Column Oriented Databases
  • Security Management with DAX. Roles
  • Entity Roles and Membership. DAX Filters
  • DAX Functions for Dynamic Security
  • Tabular Mode Cube Design with DAT, HTML
  • IIF, BLANK(), Other DAX Expressions
  • Tabular Mode Imports and Workspace
  • Multidimensional Versus Tabular Mode
  • Zero Aggregations, Delivery Advantages

DAY 11: OLAP Management, Data Mining

  • Cube Audits - MDX Query Logs
  • OLAP Audits: Usage Based Optimization
  • Usage Based Optimization Options (MOLAP)
  • Flight Recorder Settings, Log Providers
  • Data Sampling and MDX Query Tuning
  • 100% Aggregations, CPU and Subcubes
  • Lazy Aggregations, UBO in Partitions
  • Cube Writebacks - Purpose and Usage
  • Writeback Partitions: MDX Expressions
  • MDX Transactions COMMIT / ROLLBACK
  • DESCANDANTS, PARENT & MEMBERS
  • Mining Structures & Mining Models
  • CLUSTERING and DECISION TREES
  • Naive Bayes and NEURAL NETWORK
  • Case and Nested Table For Relations
  • DESCRETE and CONTINOUS. Drilldowns
  • Training, Testing for Mining Accuracy
  • Dependency Rules and Lift Charts
  • Mining Prediction Analysis Functions
  • DMX - Forecasts For Prediction Functions
  • DMX Filters - Aggregations and Aliases

DAY 12: Realtime Project for SSAS

  • OLAP Database Backups & Restores
  • OLAP Database Detach & Attach
  • DB Synchronize, OLAP Jobs with XMLA
  • XEvents support through SSMS
  • DAX performance through Super DAX
  • Partition Slicing with Tabular Mode
  • No Latency Scenarios with ROLAP
  • DAX Calculations and Cube Slices
  • Cube Space and Dicing with DAX
  • AUTOEXISTS and FREE Statements
  • Recursions, NONEMPTYCROSSJOIN
  • Analysis Management Objects
  • Resource and Activity Moniotoring
  • DBCC Commands & MDX for SSAS - 2016
  • SSAS 2012, SSAS 2014 and SSAS 2016
  • Importing Multidimensional Projects
  • Importing Tabular Projects and Cube
  • PowerPivot Imports and ACE Driver Options

DAY 1: SSRS Intro - Install, Configure

  • Report Engine Architecture, Databases
  • SSRS Installation, Tools & Configuration
  • SSRS 2019 : Configure Report DBs, URLs
  • SSRS 2017 : Configure Report DBs, URLs
  • Report Server URL and Test Connections
  • Report Manager URL, Test Connections
  • Portal URL in SSRS 2016 in Web Services
  • Three-Phase Report Life Cycle in SSRS
  • Report Server and TempDB Configuration
  • Virtual Directories (VD) in Web Services
  • Web Portal Communication URL & Usage
  • SSRS Training and Lab Plan - DEV, ADM
  • Report Designer & Report Builder Tools
  • Report Builder Tool Installation, Usage
  • Report Designer Tool Installation, Usage
  • Report Dev Operations, Test Environment
  • Report Deployment with Admin Accounts
  • Report Database Creation, RDL Files

DAY 2: Report Design - I

  • Visual Studio - SQL Server Data Tools
  • Report Templates, Usage & Reports
  • Designing Basic Reports - Sources, Fields
  • Report Project Wizard - Usage, Reports
  • Data Source Connections and Options
  • Query Designer, Query Builder & Import
  • Table Reports and Matrix Reports
  • Layout and Drilldown Reports, Blocks
  • Stepped Reports, Multi Field Drilldown
  • Report Project - Dataset and Reports
  • Report Toolbox and ReportData, Textbox
  • Table Headers, Formatting, Expressions
  • Alternate Row Colors, Report Expressions
  • Report Formatting, Expression Reusability
  • IIF, Format, Ceiling, Round, Concat
  • Dynamic Formatting Options, Expressions
  • Textbox Properties - Date & Time, Styles
  • Report Timeout and Tool Box Report Data
  • Initial Catalog For Static/Dynamic Reports
  • Planing for Dashboards, Shared Datasets

DAY 3: Report Design - II

  • Row Groups and Column Groups
  • Row Groups, Parent - Child Groups
  • Adding Groups to Existing Rows
  • Group Headers & Footers, Sub Totals
  • Group Visibility and Toggle Options
  • Row Group, Header/Footer Properties
  • Column Groups and Advanced Options
  • Repeat-On-New-Page and Properties
  • Column Groups and Data Grouping
  • Drill-down Reports & Row Groups
  • Drill-down Reports and Column Groups
  • Table Reports Vs Matrix Reports
  • Adding Images, Tooltip and Sizing
  • Report Headers & Footers - Globals
  • Merging Report Fields, Sub/Grand Totals
  • Group Edits, Removing/Adding Headers
  • Column Groups - Advance Mode - Options
  • Repeating Header on Every Page
  • Report Globals & Metadata Properties

DAY 4: Report Design - III

  • Report Parameters - Purpose, Usage
  • Parameters using Dataset Queries
  • Dynamic Parameters using Report Data
  • Single Value, Multi Value Parameters
  • Dynamic Parameters, Dependency Queries
  • Dataset Parameters & Dynamic Conditions
  • Dataset Link to Parameters, Value Options
  • Multi-Value Parameters Data Types, NULLs
  • Reports @ Multiple Data Sets. Performance
  • Advanced Options : Auto / Manual Refresh
  • Dataset, Toolbox Filters: Purpose & Usage
  • Filters Versus Parameters - Differences
  • Filter Conditions at Dataset / Toolbox
  • Type Conversions with Filters, Expressions
  • Deciding Parameters & Filters - Usage
  • Expressions & Globals For Parameters
  • JOIN, FIELDS, LABEL and Format Options
  • Report Parameters Link to Dataset Filters
  • Reports with txt and Excel Spreedsheets
  • Paginated Reports & Content with SSRS

DAY 5: Report Design - IV

  • Chart Reports - Design Options, Properties
  • Series and Series Category Groups - Usage
  • Data Visualization: Trend & Discrete Charts
  • Clustered/NonClustered Attribute Positions
  • Series Labels : Properties, Number Formats
  • Series Actions : Multi - Valued Parameters
  • Report Actions : URL / Reports, Filters
  • Issues - Multiple Axis Items, Solutions
  • Dashboard Creations, Multiple Chart Areas
  • Dashboard Exports with Dynamic Filters
  • Series Properties, Markers & Grid Values
  • Chart Areas, Properties & Limitations
  • 3-Dimensional Report - Properties, Visibility
  • Range, Pie Charts, Line Reports, Data Bars
  • Report Actions with Parameters, Filter Joins
  • Exploring Toolbox Filters with Conversions
  • Common Errors with Filters and Solutions
  • Shared DataSources, DataSets - Purpose
  • Data Bar and Sparkline Stacked Reports
  • Multiseries, Dynamic Charts & Axis Display

DAY 6: Report Design - V

  • Gauge Reports: Purpose, End User Access
  • Report Types - Radial and Linear Gauges
  • Adding Data to Gauge Report - Indicators
  • Gauge Data Versus Chart Data - Pointers
  • Maximum, Minimum Scale Range Values
  • Browser Compatibility and Offline Reports
  • Gauge, Gauge Panel Properties and Filters
  • Master and Detailed Reports - Sub Reports
  • Scale - Properties, Values, Label Options
  • Pointers, Scale Limits and Format Options
  • Ranges & Labels, Items, Needle Options
  • Adding Multiple Gauges - Dashboard Design
  • Parameterized Gauge Reports and Datasets
  • Indicators : Value and State Expressions
  • Indicators and Gauge Panel with Filters
  • Report Design with ODBC, DSN Creations
  • ODBC DataSource Administrator Options
  • 3D PieCharts and Aggregations with Excel
  • ODBC Data Sources, Dynamic Filters

DAY 7: Report Design - VI

  • Report Builder - 2016, 2014, 2008 R2
  • DataSource, DataSet with Report Builder
  • Local Report and RDL File Creations
  • Entity Browsing Options & Query Options
  • Dataset Design with Parameters and Filters
  • Query Design with Report Builder - Entities
  • Column Aggregates and Auto Group BY
  • Query Edit Options with Report Builder
  • Sub Totals, Drill-downs, Column Groups
  • Chart and Line Reports - Report Builder
  • Parameters and Filters. Adhoc Queries
  • Line Reports and XValue in Report Builder
  • Trend and Continuous Data - OLTP / DWH
  • Map Reports - Layers, Report Item Options
  • Map Gallery, ESRI Share Files, Spatial data
  • Geo Spatial Data for Business Dashboards
  • Working with Polygon, Line, Map Layers
  • Map Visualization and Bubble Map Reports
  • Data Fields, Display Labels & Visualization

DAY 8: Deployments & Sunscriptions

  • Report Deployment - Builds, Config Files
  • Data Source, Data Set Folders, Report URL
  • Report Deployment Command Line. RSKey
  • Report Server, Report Manager Portal URL
  • Report Site Settings & Report Settings
  • Data Sources: Security, Access Options
  • DataSets: Properties, Dependent Items
  • Reports: Options, Edits, Downloads
  • Security: Content Manager and Builder
  • MyReports and Report Publisher Roles
  • Report Links, Default/Hidden Parameters
  • Report Tuning: Caching, Cache Refresh
  • Report Tuning: Snapshot and Schedules
  • Report Tuning: Linked Report, Schedules
  • Report Parts and Paginated Reports
  • Report Delivery, File Share Subscriptions
  • Email Subscriptions, Execution Accounts
  • Encryption Keys & RS Config Files,

DAY 9: Cubes, Power BI Integration

  • Scale-Out Deployments, Remote Data
  • Scale-Out Joins and Configuration Keys
  • Report Designer Versus Report Builder
  • Cube Reports with SSRS - MDX Queries
  • MDX Parameters, Filters, Expressions
  • MDX YTD, QTD Calculation with SSRS
  • DAX Calculations with Tabular Reports
  • DAX Reports with Tabular Cubes in SSRS
  • SSAS KPIs & Cube Aggregations - MOLAP
  • Cube Reports with Tabular Hierarchies
  • Sub Reports, Dashboards, Action Reports
  • Drill-Up, Drill-Down, Drill Through
  • Power BI Reports - Desktop / Mobile
  • Power BI PBX Reports with RDL Sources
  • Power BI Reports with SSRS and SSAS
  • Power View and Power Pivot, Usage
  • SSRS Tuning Features in 2016, Migrations
  • Publishing SSRS Reports to Power BI
  • Scale-Out Deployment with Power BI
  • Mobile Reports, Pagination Concept
  • PowerBI with SSRS 2016 - Desktop
  • PowerBI with SSRS 2016 - Mobile
  • Using Report Portal 2016 URL Links
  • New SSRS Tuning Features in 2016
  • Migrating Reports from 2014 to 2016
  • Migrating Reports from 2012 to 2016
  • Migrating Reports from 2008 R2 to 2014
  • Comparing SSRS and Power BI Tools
  • RS Key Configurations, RDLX Security
DAY 10: One Realtime Project for SSRS
For MSBI Developers

REAL-TIME PROJECT: SSRS, SSAS
REAL-TIME PROJECT: SSRS, SSIS
REAL-TIME PROJECT: SSIS,SSAS,SSRS
 
MSBI Training Course Highlights:

1. Completely Practical
2. Basic to Advanced, Highly Technical
3. Interactive, Real-time
4. Daily Tasks, Mock Interviews
5. Resume, Certification Guidance
6. End-to-End Realtime Projects
7. Job Support Services

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