Power BI Training Classes

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

Power BI Training with Advanced Power Query (M Language) and DAX Language Expressions. This Power BI Training course includes End to End Data Visualizations and Big Data Analytics with Basic to Advanced Power Query, Basic to Advanced DAX Language included Big Data Analytics for Business Analysts. Power BI Service For Data Refresh, On-premise Data Gatewways, Excel Power Query Data Analytics with Power BI Service (Cloud) and Mobile Reports on Google Analytics are also included in this Power BI Online Training course along with Mock Interviews, Resume Guidance, Concept wise Interview FAQs and Real-time Project

Power BI Training Plans

  PLAN A PLAN B
Description Power BI T-SQL + Power BI
Duration 3.5 Weeks 5.5 Weeks
Real-Time Project Check-Symbol-for-Yes Check-Symbol-for-Yes
Resume Support Check-Symbol-for-Yes Check-Symbol-for-Yes
Mock Interviews Check-Symbol-for-Yes Check-Symbol-for-Yes
MCSA Certification Croos-symbol-for-Yes Croos-symbol-for-Yes
SQL Server & T-SQL Croos-symbol-for-No Check-Symbol-for-Yes
Total Course Fee INR 6,000/- INR 10,000/-

Complete practical and real-time sessions.

Trainer & Profile : Mr. Sai Phanindra T (12+ Yrs of Exp)

Timings (IST) Free Demo Start Date  
Schedules for SQL Server & T-SQL Training
1 6:30 AM to 7:45 AM May 1st May 2nd Register
2 9 AM to 10:15 AM May 17th May 18th Register
3 10:30 AM to 11:45 AM May 11th May 12th Register
4 6 PM to 7:15 PM Recently Started Register
Schedules for Power BI Training
5 9 AM - 10 AM May 1st May 2nd Register
6 7:30 AM - 10 AM (Weekend) May 12th May 19th Register
If above schedule does not work for you, please register for Power BI Training Videos

Arrange Callback from the Trainer

Power BI Training Highlights : Power Query (M Lang) Basic to Adv. DAX R Integration Azure Integration Data Gateways & Security Power BI Service, RLS MCSA 70-778 Certification Real-time Project

Power BI Training Course Contents:

Power BI Training (Applicable for PLAN A & B)

CHAPTER 1 : INTRODUCTION TO POWER BI

  • Introduction to Power BI - Need and Importance in Real-world
  • Power BI - Advantages and Scalability Options. Self-Service BI
  • History - Excel with Power View, Power Query, Power Pivot
  • Power BI Data Source Library and Power BI Cloud Services
  • Business Analyst Tools, MS Cloud Tools and Azure Market Place
  • Power BI Architecture and Tools (Power BI Desktop, Gateways)
  • Power BI Architectue : On-Premise Data & Cloud Integration
  • Real-time Workflow and Implementation Models with Power BI
  • Power BI Licenses and Pricing Plans. Enterprise Services
  • Installation 1: Power BI Tool (Desktop) Cloud Configuration
  • Installation 2: Power View and Power Query Add-Ons in Excel
  • Installation 3: Power BI Gateways (Personal & Enterprise Level)
  • Installation 4: Power BI Publisher For Excel and Power BI Mobile
  • Sample Reports and Visualization Controls. On-premise & Cloud
  • Power BI Cloud Account Configuration Portal and Vocabulary
  • Report Rendering and End User Access with PINS, Dashboards
  • Comparing Power BI with MSBI, Tableau and QlikView
  • Course Plan - Power BI (LIVE) Online Training

CHAPTER 8 : DAX EXPRESSIONS - Level 1

  • Purpose & Scope of Data Analysis Expresssions (DAX)
  • DAX: Syntax, Functions & Context. Real-time DAX Usage
  • Using DAX to create new models from existing data
  • DAX to solve Big Data Analytics and Modelling Problems
  • DAX Context : Row Context and Filter Context Usage
  • DAX Entities : Calculated Columns and Measures in Fields
  • DAX Data Types : Numeric, Boolean, Variant, Currency
  • Datetime Data Tye with DAX. Comparison with MS Excel
  • DAX Operators & Symbols. Usage. Operator Priority
  • Parenthesis, Comparison, Arthmetic, Text, Logic Operators
  • DAX Functions and Types: Table Valued Functions
  • Filter, Aggregation and Time Intelligence Functions in DAX
  • Information, Logical, Parent-Child Functions in DAX
  • Statistical and Text Functions. Formulas, Queries in DAX
  • Syntax Requirements with DAX. Differences with MS Excel
  • Naming Conventions and DAX Format Expressions
  • Columns and Measures with DAX - Real-time Examples
  • Measure / Column Scope with DAX - Real-time Examples

CHAPTER 2 : CREATING POWER BI REPORTS, AUTO FILTERS

  • Report Design with Legacy & .DAT Files
  • Report Design with Databse Tables
  • Understanding Power BI Report Designer
  • Report Canvas, Report Pages: Creation, Renames
  • Report Visuals, Fields and UI Options
  • Experimenting Visual Interactions, Advantages
  • Reports with Multiple Pages and Advantages
  • Pages with Multiple Visualizations. Data Access
  • PUBLISH Options and Report Verification in Cloud
  • "GET DATA" Options and Report Fields, Filters
  • Report View Options: Full, Fit Page, Width Scale
  • Report Design using Databases & Queries
  • Query Settings and Data Preloads
  • Navigation Options and Report Refresh
  • Stacked bar chart, Stacked column chart
  • Clustered bar chart, Clustered column chart
  • Adding Report Titles. Report Format Options
  • Focus Mode, Explore and Export Settings

CHAPTER 9 : DAX EXPRESSIONS - Level 2

  • YTD, QTD, MTD Calculations with DAX
  • DAX Calculations and Measures
  • Using TOPN, RANKX, RANK.EQ
  • Computations using STDEV & VAR
  • SAMPLE Function, COUNTALL, ISERROR
  • ISTEXT, DATEFORMAT, TIMEFORMAT
  • Time Intelligence Functions with DAX
  • Data Analysis Expressions and Functions
  • DATESYTD, DATESQTD, DATESMTD
  • ENDOFYEAR, ENDOFQUARTER,ENDOFMONTH
  • FIRSTDATE, LASTDATE, DATESBETWEEN
  • CLOSINGBALANCEYEAR,CLOSINGBALANCEQTR
  • SAMEPERIOD and PREVIOUSMONTH,QUARTER
  • KPIs with DAX. Vertipaq Queries in DAX
  • IF..ELSEIF.. Conditions with DAX
  • Slicing and Dicing Options with Columns, Measures
  • DAX for Query Extraction, Data Mashup Operations
  • Calcualted COlumns and Calculated Measures with DAX

CHAPTER 3 : REPORT VISUALIZATIONS and PROPERTIES

  • Power BI Design: Canvas, Visualizations and Fileds
  • Import Data Options with Power BI Model, Advantages
  • Direct Query Options and Real-time (LIVE) Data Access
  • Data Fields and Filters with Visualizations
  • Visualization Filters, Page Filters, Report Filters
  • Conditional Filters and Clearing. Testing Sets
  • Creating Customised Tables with Power BI Editor
  • General Properties, Sizing, Dimensions, and Positions
  • Alternate Text and Tiles. Header (Column, Row) Properties
  • Grid Properties (Vertical, Horizontal) and Styles
  • Table Styles & Alternate Row Colors - Static, Dynamic
  • Sparse, Flashy Rows, Condensed Table Reports. Focus Mode
  • Totals Computations, Background. Boders Properties
  • Column Headers, Column Formatting, Value Properties
  • Conditional Formatting Options - Color Scale
  • Page Level Filters and Report Level Filters
  • Visual-Level Filters and Format Options
  • Report Fields, Formats and Analytics
  • Page-Level Filters and Column Formatting, Filters
  • Background Properties, Borders and Lock Aspect

CHAPTER 10 : POWERBI DEPLOYMENT & CLOUD

  • PowerBI Report Validation and Publish
  • Understanding PowerBI Cloud Architecture
  • PowerBI Cloud Account and Workspace
  • Reports and DataSet Items Validation
  • Dashboards and Pins - Real-time Usage
  • Dynamic Data Sources and Encryptions
  • Personal and Organizational Content Packs
  • Gateways, Subscriptions, Mobile Reports
  • Data Refresh with Power BI Architecture
  • PBIX and PBIT Files with Power BI - Usage
  • Visual Data Imprts and Visual Schemas
  • Cloud and On-Premise Data Sources
  • How PowerBI Supports Data Model?
  • Relation between Dashbaords to Reports
  • Relation between Datasets to Reports
  • Relation between Datasets to Dashbaords
  • Page to Report - Mapping Options
  • Publish Options and Data Import Options
  • Need for PINS @ Visuals and PINS @ Reports
  • Need for Data Streams and Cloud Intergration

CHAPTER 4 : CHART AND MAP REPORT PROPERTIES

  • CHART Report Types and Properties
  • STACKED BAR CHART, STACKED COLUMN CHART
  • CLUSTERED BAR CHART, CLUSTERED COLUMN CHART
  • 100% STACKED BAR CHART, 100% STACKED COLUMN CHART
  • LINE CHARTS, AREA CHARTS, STACKED AREA CHARTS
  • LINE AND STACKED ROW CHARTS
  • LINE AND STACKED COLUMN CHARTS
  • WATERFALL CHART, SCATTER CHART, PIE CHART
  • Field Properties: Axis, Legend, Value, Tooltip
  • Field Properties: Color Saturation, Filters Types
  • Formats: Legend, Axis, Data Labels, Plot Area
  • Data Labels: Visibility, Color and Display Units
  • Data Labels: Precision, Position, Text Options
  • Analytics: Constant Line, Position, Labels
  • Working with Waterfall Charts and Default Values
  • Modifying Legends and Visual Filters - Options
  • Map Reports: Working with Map Reports
  • Hierarchies: Grouping Multiple Report Fields
  • Hierarchy Levels and Usages in Visualizations
  • Preordered Attribute Collection - Advantages
  • Using Field Hierarchies with Chart Reports
  • Advanced Query Mode @ Connection Settings - Options
  • Direct Import and In-memory Loads, Advantages

CHAPTER 11 : POWER BI CLOUD OPERATIONS

  • Report Publish Options and Verifications
  • Working with Power BI Cloud Interface & Options
  • Navigation Paths with "My Workspace" Screens
  • FILE, VIEW, EDIT REPORTS, ACCESS, DRILLDOWN
  • Saving Reports into pdf, pptx, etc. Report Embed
  • Report Rendering and EDIT, SAVE, Print Options
  • Report PIN and individual Visual PIN Options
  • Create and Use Dashboards. Menu Options
  • Goto Dashboard and Goto LIVE Page Options
  • Operations on Pinned Reports and Visuals
  • TITLE, MEDIA, USAGE METRICS & FAVOURITES
  • SUBSCRIPTION Options and Reports with Mobile View
  • Options with Report Page : Print and Subscribe
  • Report Actions: USAGE METRICS, ANALYSE IN EXCEL
  • Report Actions: RELATED ITEMS, RENAME, DELETE
  • Dashboard Actions: METRICS, RELATED ITEMS
  • Dashboard Actions: SETTINGS FOR Q & A, DELETE
  • PIN Actions: METRICS, SHARE, RELATED ITEMS
  • PIN Actions: SETTINGS FOR Q & A, DELETE
  • EDIT DASHBOARD (CLOUD), On-The-Fly Reports
  • Dataset Actions: CREATE REPORT, REFRESH
  • SCHEDULED REFRESH & RELATED ITEMS
  • Dashboard Integration with Apps in Power BI

CHAPTER 5 : HIERARCHIES and DRILLDOWN REPORTS

  • Hierarchies and Drilldown Options
  • Hierarchy Levels and Drill Modes - Usage
  • Drill-thru Options with Tree Map and Pie Chart
  • Higher Levels and Next Level Navigation Options
  • Aggregates with Bottom/Up Navigations. Rules
  • Multi Field Aggregations and Hierarchies in Power BI
  • DRILLDOWN, SHOWNEXTLEVEL, EXPANDTONEXTLEVEL
  • SEE DATA and SEE RECORDS Options. Differences
  • Toggle Options with Tabular Data. Filters
  • Drilldown Buttons and Mouse Hover Options @ Visuals
  • Dependant Aggregations, Independant Aggregations
  • Automated Records Selection with Tabular Data
  • Report Parameters : Creation and Data Type
  • Available Values and Default values. Member Values
  • Parameters for Column Data and Table / Query Filters
  • Parameters Creation - Query Mode, UI Option
  • Linking Parameters to Query Columns - Options
  • Edit Query Options and Parameter Manage Entries
  • Connection Parameters and Dynamic Data Sources
  • Synonyms - Creation and Usage Options

CHAPTER 12 : IMPROVING POWER BI REPORTS

  • Publish PowerBI Report Templates
  • Import and Export Options with Power BI
  • Dataset Navigations and Report Navigations
  • Quick Navigation Options with "My Workspace"
  • Dashboards, Workbooks, Reports, Datasets
  • Working with MY WORK SPACE group
  • Installing the Power BI Personal Gateway
  • Automatic Refresh - Possible Issues
  • Adding images to the dashboards
  • Reading & Editing Power BI Views
  • Power BI Templates (pbit)- Creation, Usage
  • Managing report in Power BI Services
  • PowerBI Gateway - Download and Installation
  • Personal and Enterprise Gateway Features
  • PowerBI Settings : Dataset - Gateway Integration
  • Configuring Dataset for Manual Refresh of Data
  • Configuring Automatic Refresh and Schdules
  • Workbooks and Alerts with Power BI
  • Dataset Actions and Refresh Settings with Gateway
  • Using natural Language Q&A to data - Cortana

CHAPTER 6 : POWER QUERY & M LANGUAGE - Part 1

  • Understanding Power Query Editor - Options
  • Power BI Interface and Query / Dataset Edits
  • Working with Empty Tables and Load / Edits
  • Empty Table Names and Header Row Promotions
  • Undo Headers Options. Blank Columns Detection
  • Data Imports and Query Marking in Query Editor
  • JSON Files & Binary Formats with Power Query
  • JavaScript Object Notation - Usage with M Lang.
  • Applied Steps and Usage Options. Revert Options
  • creating Query Groups and Query References. Usage
  • Query Rename, Load Enable and Data Refresh Options
  • Combine Queries - Merge Join and Anti-Join Options
  • Combine Queries - Union and Union All as New Dataset
  • M Language : NestedJoin and JoinKind Functions
  • REPLACE, REMOVE ROWS, REMOVE COL, BLANK - M Lang
  • Column Splits and FilledUp / FilledDown Options
  • Query Hide and Change Type Options. Code Generation

CHAPTER 13 : INSIGHTS AND SUBSCRIPTIONS

  • Data Navigation Paths and Data Splits
  • Getting data from existing systems
  • Data Refresh and LIVE Connections
  • pbit and pbix : differences. Usage Options
  • Quick Insights For Power BI Reports
  • Quick Insights For PowerBI Dashboads
  • Generating Insights with Cloud Datasets
  • Generarting Reports with Cloud Datasets
  • Using relational databases on-premises
  • Using relational databases in the cloud
  • Consuming a service content pack
  • Creating a custom data set from a service
  • Creating a content pack for your organization
  • Consuming an organizational content pack
  • Updating an organizational content pack
  • Adding Tiles : Images, Videos, DataStreams
  • Creating New Reports from Cortana, Advantages

CHAPTER 7 : POWER QUERY & M LANGUAGE - Part 2

  • Invoke Function and Freezing Columns
  • Creating Reference Tables and Queries
  • Detection and Removal of Query Datasets
  • Custom Columns with Power Query
  • Power Query Expressions and Usage
  • Blank Queries and Enumuration Value Generation
  • M Language Sematics and Syntax. Tranform Types
  • IF..ELSE Conditions, TransformColumn() Types
  • RemoveColumns(), SplitColumns(),ReplaceValue()
  • Table.Distinct Options and GROUP BY Options
  • Table.Group(), Table.Sort() with Type Conversions
  • PIVOT Operation and Table.Pivot(). List Functions
  • Using Parameters with M Language (Power Query Editor)
  • Advanced Query Editor and Parameter Scripts
  • List Generation and Table Conversion Options
  • Aggregations using PowerQuery & Usage in Reports
  • Report Generation using Web Pages & HTML Tables
  • Reports from Page collection with Power Query
  • Aggregate and Evaluate Options with M Language
  • Creating high-density reports, ArcGIS Maps, ESRI Files
  • Generating QR Codes for Reports
  • Table Bars and Drill Thru Filters

CHAPTER 14 : POWERBI with SSRS, SSAS, R

  • SSRS Integration with Power BI
  • SSRS Report Portal URL to Power BI Cloud
  • Power BI KPI Reports Vs SSRS KPI Reports
  • Convering and Working with Mobile Reports
  • Report Buidler Reports to Powert BI
  • Generating QR Codes and Report Security
  • Reporting JSON Files, Bulk Data Loads
  • OLAP DataSources in Power BI
  • Using MDX Queries with PowerBI Queries
  • MDX SELECT and Perspective Access
  • KPIs and MDX Expressions with Power BI
  • MDX Queries and Filters with Power BI
  • Linked Servers and T-SQL SPROCs with MDX
  • YTD, PARALLELPERIOD,SCOPE, ALLMEMBERS
  • Implementing Row Level Security (RLS) with DAX
  • Security Roles and Role Members. Tests
  • Using R for Power BI, Streaming DataSets
  • R Script and Integration with Power BI
  • PowerBI Reports using R & CSV / DAT Files
  • R Script with Azure SQL Database Sources
  • Using R Script Editor with Power BI Desktop
  • R Script Security and Microsoft OneDrive
SQL Server Basics, Queries (Applicable for Plan B)

Module I: SQL Server & Design, Queries, Joins

Module II: T-SQL Queries, Tuning & Programming

CHAPTER 1: SQL SERVER INSTALLATION

  • What is Data? What is Database? File Store Limitations?
  • Why Microsoft SQL Server? Advantages (Technical/Usage)
  • SQL Server - Career Options, Certifications, Projects
  • What is SQL? What is T-SQL? Differences. Why T-SQL?
  • MSBI Components and Real-time Activities
  • Versions and Editions of SQL Server - Overview
  • Session Wise Plan, Material and Real-time Project Details
  • LAB PLAN - 24x7 LIVE Server (Online Lab)
  • SQL Server Software - Server Installation Steps
  • SQL Server Tools Installation and Verification
  • SSMS in Windows OS, SOS Tool in Mac & LINUX OS
  • H/W & S/W Requirements. Server Configuration Options
  • Instance Types : Default and Named Instances. Instance IDs
  • SQL Server Tools - SQL Server Management Studio (SSMS)

CHAPTER 7: STORED PROCEDURES - LEVEL 1

  • Stored Procedures - Purpose, Syntax, Properties and Types
  • Compilation, Precompilation and Query Optimization (QO)
  • Variables - Usage and Data Types in Stored Procedures
  • Parameters - Usage and Data Types in Stored Procedures
  • Stored Procedure Executions - Syntax, Alternate Options
  • Stored Procedures for Data Validations & Missing Identity
  • Stored Procedures for Dynamic SQL Queries. Views & SPs
  • Stored Procedures for Data Reporting. Advantanges, Tuning
  • Important System Procedures For Metadata Access. Usage
  • Important Extended Procedures For Application Operations
  • IF.. ELSE, IF .. ELSE IF, IIF Conditions. PRINT statements
  • Error Handling Techniques in T-SQL: TRY, CATCH, THROW
  • Dynamic Parameters and Variables. Examples with Views
  • Default Parameter Values, Data Types and NULL Values
  • Batch Executions with Stored Procedures. Variants

CHAPTER 2: SQL BASICS - DDL, DML, SELECT

  • Basic SQL for Beginners. Introducing Databases, Tables
  • What is SQL? Why T-SQL? Basic SQL Queries in SSMS
  • DDL and DML Statements - Creating & Using Databases
  • Table Creation (Basic Level) - Columns and Data Types
  • Issues with Digital Data into Characters. Missing Values
  • INSERT / Store Data into SQL Server Tables - Options
  • Single Row and Multiple Row Inserts with NULL Values
  • SELECT Queries and Basic Operators : IN, BETWEEN
  • IS, UNION, UNION ALL, Other Basic SQL Operators
  • UPDATE Statements with / without Conditions. SET
  • DELETE Statements with Conditions. Logging Options
  • TRUNCATE Statement - DELETE Comparisons, Logging
  • SYSTEM DATABASES - Purpose and Importance. Resource
  • CLIENT - SERVER Architecture (TDS) & Client Statistics

CHAPTER 8: STORED PROCEDURES - LEVEL 2

  • Stored Procedures for Sub Queries, Dynamic Queries
  • Using NCHAR and NVARCHAR in Stored Procedures
  • Variables and Parameters in Stored Procedures
  • Using Stored Procedures with Database Tables
  • Using Stored Procedures with Views and System Viewss
  • Metatada Access and Compilation Options
  • Important System Stored Procedures and Usage
  • Sp_help, Sp_helpdb, sp_pkeys, sp_helptext
  • Sp_recompile, sp_rename, sp_renamedb
  • User Defined Procedures with System SPs
  • Using Extended Stored Procedures - Usage
  • Recursion of Stored Procedures and Practical Usage
  • Stored Procedures for Dynamic Values, sysname data
  • Unicode Data and OUTPUT Parameters with SProcs

CHAPTER 3: SQL SERVER DATABASE DESIGN

  • SQL Database Architecture - Logical and Physical View
  • Database Properties - Files - Types - Storage Options
  • Data Files : Purpose and Sizing. Detailed Architecture
  • Filegroups : Purpose and Grouping Options. Properties
  • Log files : Sizing, Placement & Detailed Architecture
  • Pages, Extents (Uniform, Mixed). Data Allocation Process
  • Write Ahead Log (WAL) and Log Sequence Number (LSN)
  • Virtual Log File (VLF) and MINI LSN. Operation Audits
  • Database Creation using GUI - Adding Files, Filegroups
  • Database File and Filegroup Options. GUI Limitations
  • Database Creation using T-SQL Scripts. SYNTAX Rules
  • Database with Filegrowth, Autogrowth, MAXSIZE Options
  • mdf, ndf, ldf and Custom Extensions. Dynamic Extensions
  • Planning and Designing Very Large Databases (VLDB)
  • CHAR versus VARCHAR Differences - Type, Size Allocations

CHAPTER 9: VIEWS - FUNCTIONS & QUERIES

  • Views on Tables - Stored SELECT Statements, Data Access
  • SCHEMABINDING and ENCRYPTION Options - Advantages
  • Cascaded Views and WITH CHECK OPTION, Advantages
  • Orphan Views - Scenarios and Realworld Solutions
  • Common System Views For Metadata Access, Object IDs
  • Functions: Types, Purpose and Usage. Return Values
  • Scalar Value and Inline Table Value Functions
  • Multi-Line Table Value Returning Functions - Usage
  • Table Variables and Parameters in SQL Server. Usage
  • ROLLUP and CUBE - Sub Totals, Grand Totals, Aggregates
  • ROLLUP of Table Data. Column Aggregations. ORDER BY
  • CUBE on Table Data - Purpose & Usage. Permutations
  • Queries with GROUPING() Option in SELECT, Using HAVING
  • HAVING versus WHERE Conditions - Usage Differences

CHAPTER 4: TABLE DESIGN & QUERIES

  • Table Design - Creation. Columns - Data Types, Length
  • Routing Tables to Database File Groups, Advantages
  • Schemas - Purpose, Creation and Usage with Tables
  • Table Design using T-SQL Scripts - Syntax, Examples
  • Data Types, Length, NULLs and Naming Conventions
  • UNION, UNION ALL Operators. Differences, Row Order
  • CREATE, ALTER, DROP -- INSERT, UPDATE, DELETE
  • SELECT Queries with Schema on Tables, Column Aliases
  • T-SQL Data Types and NULL Values. Computed Columns
  • Comparing DELETE and TRUNCATE - TLog Files
  • T-SQL Operators: IN, BETWEEN, IS, AND, OR, EXISTS
  • Default Schema and Default Filegroup for Table Design
  • Basic Sub Queries - SELECT, MIN/ MAX. Column Aliases
  • Temporary Tables : Purpose and Types. Local and Global
  • Synonyms : Purpose. Alternate Object Reference, Queries

CHAPTER 10: TRANSACTIONS & TRIGGERS

  • Need for Transactions, Transaction Scenarios
  • ACID Properties and Transaction Types. Atomic Property
  • EXPLICIT, IMPLICIT Transactions - Query Blocking
  • IMPLICIT Transactions - Usage, Database Settings
  • AUTOCOMMIT Transactions - Advantages, Examples
  • OPEN Transactions and Audits. OPENTRAN commands
  • Nested Transactions and COMMIT / ROLLBACK Rules
  • SavePoint Options with Explicit Transactions, Rollbacks
  • LOCK HINTS : READPAST, NOLOCK, HOLDLOCK - Usage
  • Triggers - Purpose and Types. Scope Of Usage
  • DML Triggers - Events, Types and Practical Usage
  • FOR / AFTER Triggers and INSTEAD OF Triggers
  • INSERTED & DELETED Memory Tables with DML Triggers
  • Triggers for DML Operation Audits and Data Sampling
  • Database Triggers and Server Level Triggers

CHAPTER 5: CONSTRAINTS and KEYS

  • Constraints and Keys - Ensuring Table Data Integrity
  • Normal Forms - Types, Relational Database (RDB) Design
  • OLTP Database Model & BCNF - Relations with PK / UQ
  • NULL, NOT NULL and Default Nullability for Columns
  • UNIQUE KEY Constraints: Importance, Uniqueness, Nulls
  • PRIMARY KEY Constraint: Properties, Priority, Limitations
  • FOREIGN KEY Constraint: References, Relations & Usage
  • CHECK Constraints: Properties, Conditions and Usage
  • DEFAULT Constraints: Properties, Usage and Limitations
  • Relations with Tables across Multiple Schemas, Usage
  • Identity Property with / without PRIMARY KEY, Usage
  • Naming Conventions For Constraints, Columns and Tables
  • Normal Forms - Types, Purpose and Usage. With Examples
  • BCNF: Boycee-Codd Normal Form and Practical Usage

CHAPTER 11: INDEXES and QUERY TUNING OPTIONS

  • Indexes: Architecture (Page Level), Purpose and Types
  • Clustered Indexes - Architecture, Fragmentation Issues
  • Non Clustered Indexes - Architecture, Column References
  • Execution Plans and Query Optimization (QO) Techniques
  • Execution Plan - Table Scan, Index Scan and Index Seek
  • INCLUDED INDEXES - Index Seeks, Query Tuning
  • COLUMNSTORE Indexes - Advantages, Usage Examples
  • FILTERED Indexes & Online Indexes
  • Materialized Views / Indexed Views - Tuning Options
  • Query Optimizer (QO) Options for Index Pages, Data Pages
  • Limitations of Indexes - Impact on DML and SELECT
  • Primary Key Index, Composite Indexes and Precautions
  • RID and Index Key Concepts. Index Page - Data Page Arch"
  • Real-world Considerations For Indexes (Tables, Views)

CHAPTER 6: JOINS, SUB QUERIES & NESTED QUERIES

  • JOINS - Purpose and Types, Use Case Scenarios
  • JOIN - Types, Queries and Importance of Reports
  • CROSS JOIN in detail. Examples and Conditions @ WHERE
  • INNER JOIN in detail. Examples with WHERE and ON
  • Comparing INNER JOIN with CROSS JOIN for Conditions
  • OUTER JOINS in detail. LEFT, RIGHT and FULL Joins
  • SELF JOINS with INNER / OUTER Joins. Usage Scenarios
  • Working with Self Joins on non key columns, advantages
  • JOINS with more than 2 tables. Syntax, Precedence Order
  • Query Optimization Considerations with Schema References
  • Deciding the best Join Type, Order and Query Options
  • JOIN Queries with Options and UNION, UNION ALL Operators
  • Basic Sub Queries and Joins. Alternate Syntax & Queries
  • Using ON and WHERE for Join Conditions. Working with NULLs
  • Using SubQueries for Self Joins and Outer Joins
  • Working with Nested Queries and Nested Sub Queries
  • Using Sub Queries and Nested Sub Queries with Outer Joins
  • End User Access to SQL Databases - Reporting Tools, Options
  • A Real-world Case Study understanding Joins & Queries

CHAPTER 12: SQL SERVER ARCHITECTURE

  • Client - Server Architecture of SQL Server
  • SQL Server Tools - Connection Options, TDS Packets
  • Protocols : TCP / IP, Named Pipes, Shared Memory
  • SQL Native Client (SNAC) and OLE DB Drivers / Providers
  • ISO - OSI Model of Data Connections, Encrypted Data
  • Query Processing and Query Optimizer (QO) Components
  • SQL Server Architecture For Database Engine, LCM Options
  • Architecture - Query Processor and Storage Engine
  • Architecture - Query Parser, Optimizer, Mini LSN, MDAC
  • Architecture - SQL Engine, SQL Manager and Query Buffers
  • Architecture - Write Ahead Log (WAL), Lazy Writer Threads
  • Architecture - SQLOS Threads and Task Schedulers, CLR
  • SQL Database Architecture - RAID Levels (S/W, H/W)
  • Log Sequence Numbers (LSN) and Time Mapping. Audits
  • Log File Architecture - Virtual Log Files and Usage
  • Log File Architecture - Mini LSN & Degree Of Parallelism
  • DB Catalogs, CLR Integration and MDAC Components
  • LSN Timestamps and MINILSN. Background Threads @ SQL
 
EVERY SESSION IS COMPLETELY PRACTICAL. REAL-TIME. TASKS, MATERIAL, LAB WORK for EVERY SESSION. Register Today
 

Who can benefit from this Power BI Classroom Training course?

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

Job-Oriented Real-time Training @ SQL School Training Institute - Trainer : Mr. Sai Phanindra T