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 Training course also includes Azure Data Factory (ADF), Azure DataWarehouse (ADW), Azure Analysis Services for Big Data Analytics and Forecasts. This Azure BI Training also includes Power Query, DAX and Data Mining Concepts with Real-time Project.

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 (ADF, ADW, AAS)

  PLAN A PLAN B PLAN C
Description Azure BI Azure BI,
MSBI
Azure BI, MSBI
Power BI
Total Duration 3 Weeks 9 Weeks 12 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 12,000
INR 30,000
INR 40,000

Azure BI Training Schedules [Trainer: Mr. Sai Phanindra T ]

S. No Timings (IST) Start Date  
Azure BI Training Schedules
1 7:00 AM - 9:00 AM (Wk) Nov 9th Register
MSBI Training Schedules
1 7:45 AM - 8:45 AM Oct 23rd Register
2 5:30 PM - 6:30 PM Oct 21st Register
Power BI Training Schedules
1 9 AM - 10 AM Oct 23rd Register
2 11:30 AM - 12:30 PM Nov 4th Register
3 6:30 PM - 7:30 PM Oct 21st 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

 

Module I: AZURE DATA FACTORY

Module II: AZURE DATAWAREHOUSE

Module III: AZURE ANALYSIS SERVICES

DAY 1: AZURE CLOUD BASICS, SQL DB

  • Introduction to Cloud and Advantages
  • Cloud Architecture - Iaas, PasS and SaaS
  • Advantages of Microsoft Cloud - Azure
  • Azure Products and Services - MarketPlace
  • Comparing Azure with Google & AWS Cloud
  • Azure BI Implementations and Platforms
  • Lab Plan : Azure Data Studio (ADS)
  • SQL Server Data Tools (SSDT)
  • Azure SQL Database Architecture Components
  • Creating Azure SQL Server (Logical Server)
  • Creating Azure SQL Databases and Pricing Tiers
  • Price Tiers: Basic, Standard, Premium, PremiumRS
  • DTUs Allocation for Database Size, Cost Models
  • Firewall Settings for Azure SQL Server (Logical Server)
  • Password Resets and Azure SQL Server Name Format
  • Azure SQL Server : SSMS, Azure Data Studio

DAY 7: AZURE DATA WAREHOUSE CREATION

  • Creating Azure Data Warehouse and Options
  • Azure Subscription and Resource Group
  • Data Warehouse Details: Name, Server
  • erformance Levels: GEN 1 and GEN 2
  • DWs and Scaling Options: DW Series
  • Quota Types and Limitations in DW
  • Azure Regions Selection, Pricing Calculator
  • cDWU and DWU : Real-time Usage, Pricing
  • Azure Data Warehouse Access from SSMS
  • Azure Data Warehouse Access from ADS
  • Azure Data Warehouse Access from SSDT
  • Azure Data Warehouse Access from ADF
  • ODC File Access and Connection Strings
  • Azure Data Warehouse Collation Settings
  • ADWH Tags and Product Details
  • Automation Templates from Azure RM

DAY 13: AZURE ANALYSIS SERVICES INTRO

  • Introduction to Azure Analytics
  • Introducton to Azure Analysis Services
  • Need for Azure Analysis Services in PAAS
  • Various PAAS Components in Azure AS
  • Compare Azure Analysis & On-Premise SSAS
  • Practical Limitations with On-Premise SSAS
  • Advantages of Tabular Mode in MSBI SSAS
  • Tabular Mode in Azure Analysis Services
  • Integraton of Azure Analysis Server
  • MS Excel, Power BI, Tableau Connections
  • Power BI Cloud Connections with Azure AS
  • Real-time Usage with Big Data Analytics
  • Azure Analysis Services : Pre-Requisites
  • SQL Server Data Tools (SSDT), SSMS
  • Data Model Development Tools for AAS
  • Integration with Azure Active Directory

DAY 2: AZURE SQL DB MIGRATION, STORAGE

  • Data Migration Assistant (DMA) Tool
  • On-premise to Azure SQL Database Migration
  • Logical Server, Virtual Machine, Managed Instance
  • Schema Generation and Compatibility For Migration
  • Generating Data Scripts and Assessment
  • Generate and Validate Schemas. Migrations
  • Migration Scopes : Schema, Data, Schema & Data
  • Compatibility Checks and Assessment Checks
  • Azure Storage : Purpose, Azure BLOB Data
  • Azure Storage Account Types and Creation
  • LRS, GRS and RA-GRS Azure Storage Accounts
  • Azure Resource Manager (ARM) Storage Instances
  • Classic Deployment Model Instances in Azure
  • Encrypted Data Transfer. Virtual Networks
  • Data Protection and Azure DataLake Storage
  • Azure Storage Container and BLOB Data Options

DAY 8: AZURE DATA WAREHOUSE ARCHIECTURE

  • DWU : Data Warehouse Units : Architecture
  • cDWU - Memory and IO Resources for Reads & Writes
  • Compute Nodes and Distributions Per Node
  • Pricing : Scans, Aggregations and CTAS
  • Scaling Options with Data Warehouse Units
  • Pausing and Resuming Compute with DWUs
  • Transaction Drains, Automation Options
  • Resource Monitoring and Utilization Reports
  • Operations Management Suite (OMS) for DW Logs
  • Azure Monitor (logs) and Data Warehouse Events
  • Query Activity, Metrics & diagnostics logging
  • Monitor DWH workload using DMVs
  • Permissions, Monitor Connections
  • Monitor query execution
  • Monitor waiting queries, Logrollback
  • Monitoring tempdb with views
  • Monitor memory, Transaction Log Size

DAY 14: AZURE ANALYSIS SERVER CONFIG

  • Creating Azure Analysis Server
  • Azure Market Place, Resource Groups
  • Server Name, Location, Pricing Tier
  • Developer, Basic and Standard Tiers
  • Admin Options and Backup Settings
  • Associating Azure Storage Accounts
  • Server Name, Management Server Name
  • Active Directory - Universal with MFA
  • SSMS Connections : Azure Analyis Server
  • Tier Comparisions and Real-time Usage
  • Query Replica and SLA Options with AAS
  • Licensing Plans, QPUs & Memory Limits
  • D Band, B Band and S Band Selections
  • Region Availability & Supported Plans
  • Scaling: Scale-up and Scale-down
  • Pause, Resume Options - Costing Models

DAY 3: AZURE DATA FACTORY

  • Introduction to ADF: Azure Data Factory
  • ADF : Detailed Architecture and Work Flow
  • ADF Pipelines : Transform and Enrich
  • Publish and Monitor Phases with ADF
  • Working with RAW and Semi Structured Data
  • PIPELINE, ACTIVITY and DATASET
  • LINKED SERVICES and DATA STORE
  • Compute Resource, Triggers, Parameters
  • PipelineRuns & Control Flow Components
  • Data Driven Workflow in ADF Environment
  • Copy Data Tool in the Azure portal
  • Azure Roles and Azure Storage Account
  • Data Factory Contributor at Resource Level
  • Roles and permissions for Azure Data Factory
  • Need for Azure Data Warehouse with ADF
  • Differences between ADF V1-ADF V2
  • Data Integration Units, Self Hosted IR
  • Parallel Copy and Staged Copy.Compression
  • Serialization and Desrialization

DAY 9: Azure DATA WAREHOUSE TUNING

  • Azure SQL Server Level Tuning Options
  • Azure SQL Database Level Tuning Options
  • Automated Tuning Options and Peak-Loads
  • Force Plan, Create Index and Drop Index
  • Query Performance Insight, Intelligence
  • Index Recommendations with CPU and IO
  • IO Metrics, CPU Metrics & Query Statistics
  • Data File IO, Log File IO, Custom Reports
  • Data Discovery and Classification
  • Vulnerability Assessment (VA)
  • Detection, Advanced Threat Protection
  • Resource Classes, Workload Management
  • Static resource classes, Purpose
  • Dynamic resource classes, Purpose
  • Gen2 dynamic resource classes
  • Default resource class, Concurrency slots
  • Resource Class Operations & Precedence
  • Resource classes for ADW Queries
  • SSIS Lift and Shift with ADF

DAY 15: COMPATIBILITY & BUILTS

  • Azure Analysis Compatibility Options
  • Tabular Mode Support with TMSL, TOM
  • Partitions, Perspectives, RLS in AAS
  • Bi-Directional Relationships in AAS
  • Direct Query Mode, Azure SQL Connections
  • Azure SQL Server Connection with AAS
  • Azure SQL DWH Connection with AAS
  • DAX Formula Limitations with AAS
  • Distributed Denial of Services (DDoS)
  • Firewall Settings and Authentications
  • Data Security with Azure AS and BLOB
  • Role Based Authorization and Azure AD
  • Row Level Security with DAX Expressions
  • Object Level Security, Server Principals
  • Azure Governance and Tools For Access
  • Object Models and Scripting Tools
  • Visual Studio and VSIX Packages
  • Monitoring and Diagnostic Options

DAY 4: AZURE DATA FACTORY CREATION

  • Azure Market Place and Analytics Resouress
  • Version Selection: ADF V1 and ADF V2
  • GIT Source Control and DEVOPS Options
  • ADF Resource Location for Data Integrations
  • GIT URL, Repo Name and Branch Name
  • Root Folder & Change Tracking Deployments
  • Data Factory Resource Naming Conventions
  • Data Factory Metadata Store Locations
  • Azure Data Factory : Author & Monitor Tile
  • ADF Dashboard: Pipeline Runs, Trigger Runs
  • Activity Runs, Integration Runtime (IR)
  • IR CPU & IR Memory Usage Reports in ADF
  • ADF & Access Tokens. Need for BLOB Storage

DAY 10: USING AZURE DATA FACTORY - 3

  • Working with Hybrid Data using ADF
  • Using On-Premuse SQL Source & BLOB Sink
  • RBAC Access Controls and Real-time Usage
  • Pipeline Creations : Onpremise to Azure Blob
  • Integration Runtime and Private Network
  • Adding Dynamic Connections with Content
  • Triggering and Monitoring Pipeline Run
  • Copy Data in Bluk with Azure Data Factory
  • Dealing with Multiple Tables in ADF
  • End to End Workflow Implementation in ADF
  • Using Migration Utility and Schema Migration
  • Staging Linked Service, Sink Linked Service
  • Dataset Creations and Parameters in ADF

DAY 16: DATA MODELS IN AZURE AS

  • Adding Data Models in Azure Analysis Server
  • Data Sources & Data Adding. Cleanup Resources
  • Defining Model Database Administrator Roles
  • Users in Model Database Administrator Roles
  • XMLA Scripts for Role Memberships
  • CREATE OR REPLACE Scripts with Query Editors
  • Using SSDT for Azure Analysis Server
  • Using Tabular Mode Templates in SSDT
  • Using Workspace Servers and Advantages
  • Relational Data Sources and Table Imports
  • Impersonation Settings, Security Options
  • Installing and Using Data Gateways
  • Enterprise Integrations, Gateway Security
  • BIM Models with Azure Analysis Services
  • OLAP DB and Cube Deployments in Azure

DAY 5: USING AZURE DATA FACTORY - L1

  • Creating Linked Service in ADF. Usage
  • Creating Connections For Data Access
  • Using Azure BLOB Storage - Advantages
  • IR Connections & Authentication Methogs
  • DataSets Creation For Data Pipelines
  • Azure Storage Linked Service Security
  • Pipeline IDs in ADF - Reference, Usage
  • Activities : Move & Transform for ETL
  • Entity Publish to Azure Data Factory
  • Triggering ADF Pipeline : Manual
  • Triggering ADF Pipeline : Schedule
  • ADF Pipeline Monitoring and Refresh
  • Actions and View Activity Runs
  • Details and Data Verification Options
  • Working with ADF Triggers for Automation
  • Pipeline and Activity Monioring in ADF

DAY 11: USING AZURE DATA FACTORY - 4

  • Azure SQL Database to Blob Storage
  • Data Dtore and Watermark Values
  • Pipeline Creation @ Watermark Columns
  • Lookup Activity and Copy Activity
  • Stored Procedures Activity in ADF
  • Using Data Factory UI for Banching
  • Conditional Splits, Parameter Passing
  • System Variables and Pipeline Runs
  • Activity Types: Data Transformations
  • Pipeline Activities & Control Activities
  • Activity Dependancy: Success, Failed
  • Activity Dependancy: Skipped, Completed
  • JSON Scripts in ADF, Acitivity Controls
  • HDInsight HIVE Activity, HIVE Script
  • wait, web, look up Expressions in ADF
  • SP, If, For Each Containers in ADF

DAY 17: DATA MODELS IN AZURE AS - 2

  • Creating and Using Hierarchies
  • Partitions and Query Store Operations
  • KPIs, Calculations and DAX Measures
  • Calculated Columns & Measures with DAX
  • Time Intelligence and Modelling Options
  • Using KPIs with Calcualted Measures
  • Data Modelling Advantages with Azure AS
  • Azure Virtual Network @ Analysis Serivces
  • Data Source Connections to On-Premise
  • Excel and Flat File Data Sources
  • Using Azure Anlysis Server Aliases
  • Using Azure Data Factory for AAS
  • Using Azure Data Warehouse & Models
  • Using Azure SQL Server [Logical Server]
  • Backup, Restore of Azure Analysis Server
  • OLAP DB Automations and Processing
  • Security Management and Scale-Out
  • Azure Analysis Server Metrics, REST

DAY 6: USING AZURE DATA FACTORY - L2

  • Data from Azure BLOB to Azure SQL with ADF
  • Copy Activity in ADF. Supported Data Stores
  • Azure Sources, Database Sources, File Sources
  • Protocols, Services and Apps Sources in ADF
  • Copy Activity and Integration Runtime Usage
  • Self Hosted (SH) Integration Runtime Usage
  • Copy Activity Phases : Read Phase
  • Serialization and Deserialization
  • Compression and Decompression
  • Column Mapping and Configurations
  • Write Phase and Sink Destinations in ADF
  • File Formats, Text Formats and Delimeters
  • Text, JSON, Avro, ORC, and Parquet
  • GZip, Deflate, BZip2, and ZipDeflate
  • Sink Dataset, Schemas Import and Mapping
  • Pipeline Debugging and Validation Options

DAY 12: Real-time Case Study on ADF

This Azure Data Factory Training includes a Real-time Case Study on various data sources including Azure Data Lake, Azure Storage and Data Bricks with Azure SQL Server. Combined with BLOB Data.

This ADF Use Case includes a ECommerce Data from On-Premise SSIS Migrated to Azure Data Factory with Schemas, Relations, Data and Pipelines. Also incldues Triggers, Linked Services and Azure Data Models.

This Real-time Case Study also includes Power BI Reports and Tiles, Dashboards using Azure PAAS Services and Azure DataWarehouse.

DAY 18: POWER BI and EXCEL Connections

This Azure Analysis Service Training includes a Real-time Case Study on various data access points including POWER BI and EXEL.

Power BI Components with Desktop and Cloud are included. With CONNECT LIVE Operations, Import Modes and DAX Expressions.

Azure Automations usage with PowerShell Gallery and Modules for Data Refresh. Import and SPN Options with Azure Automation Runbook. Data factory Consumption and Parameters for Integration with Azure Analysis Services.

Module I: Power BI Basics, Visuals

Module II: ETL and Data Modeling

Module III: Power BI Service (Cloud)

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 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

DAY 18 - 20 : 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

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

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