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Official Learning Partner

Course Highlights

This impeccable Microsoft MSBI (SQL BI) course is carefully designed for aspiring BI Developers, Consultants and Architects. This MSBI Online Training includes basic to advanced Business IntelligenceData Warehouse (DWH) and Data Analytics (OLAP) concepts on SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS). This MSBI Online Training course also includes Power Query & DAX for Data Modelling and MDX & DMX for Big Data Analysis and Reports along with Power BI Cloud and Azure Integration.

Trainer: Mr. Sai Phanindra Tholeti
Profile: https://www.linkedin.com/in/saiphanindra/

Training Highlights:

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

MSBI Training (SSIS, SSAS, SSRS)
Curriculum:

Course 1 : SQL Server & T-SQL Queries Training [Applicable for MSBI Plans B, C]

Chapter 1: DATABASE INTRODUCTION

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

Chapter 2: SQL SERVER INSTALLATIONS

  • System Configuration Checker Tool
  • Versions and Editions of SQL Server
  • SQL Server and SSMS Installation Plan
  • SQL Server Pre-requisites : S/W, H/W
  • SQL Server 2022 / 2019 Installation
  • SQL Server 2017 Installation
  • Instance Name and Server Features
  • Instances : Types and Properties
  • Default Instance, Named Instances
  • Port Numbers, Instance Differences
  • Service and Service Account Use
  • Authentication Modes and Logins
  • Windows Logins and SQL Logins
  • FileStream and Collation Properties

Chapter 3: SSMS Tool, SQL BASICS – 1

  • SQL Server Management Studio
  • Local and Remote Connections
  • System Databases: Master and Model
  • MSDB, TempDB, Resource Databases
  • Creating Databases : Files [MDF, LDF]
  • Creating Tables in User Interface
  • Data Insertion & Storage. Limitations
  • SQL : Purpose and Real-time Usage
  • SQL Versus T-SQL : Basic Differences
  • DDL, DML, SELECT, DCL and TCL
  • Creating Tables using SQL Scripts
  • Data Storage, Inserts – Basic Level
  • Table Data Verifications with Select
  • SELECT Statement for Table Retrieval

Chapter 4: SQL BASICS – 2

  • Creating Databases & Tables in SSMS
  • Single Row Inserts, Multi Row Inserts
  • Rules for Data Insertion Statements
  • SELECT Statement @ Data Retrieval
  • SELECT with WHERE Conditions
  • Batch Concept and Go Statement
  • AND and OR Operators Usage
  • IN Operator and NOT IN Operator
  • Between, Not Between Operators
  • LIKE and NOT LIKE Operators
  • UPDATE Statement & Conditions
  • DELETE & TRUNCATE Statements
  • Logged and Non-Logged Operations
  • ADD, ALTER and DROP Columns

Chapter 5: SQL Basics – 3, T-SQL INTRO

  • Database Objects : Tables and Schemas
  • Schemas : Group Tables in Database
  • Schemas : Security Management Object
  • Creating Schemas & Batch Concept
  • Using Schemas for Table Creation
  • Data Storage in Tables with Schemas
  • Data Retreival and Usage with Schemas
  • Table Migrations across Schemas
  • Import and Export Wizard in SSMS
  • Data Imports with Excel File Data
  • Performing Bulk Operations in SSMS
  • Temporary Tables : Real-time Use
  • Local and Global Temporary Tables
  • # and ## Prefix, Scope of Usage

Chapter 6 : CONSTRAINTS, INDEXES

  • Constraints and Keys – Data Integrity
  • NULL, NOT NULL Property on Tables
  • UNIQUE KEY Constraints: Importance
  • PRIMARY KEY Constraint: Importance
  • FOREIGN KEY Constraint: Importance
  • REFERENCES, CHECK and DEFAULT
  • Candidate Keys and Identity Property
  • Database Diagrams and ER Models
  • Relationships Verification and Links
  • Indexes : Basic Types and Creation
  • Index Sorting and Search Advantages
  • Clustered and NonClustered Indexes
  • Primary Key and Unique Key Indexes
  • Need for Indexes – working with Keys

Chapter 7: JOINS & LINKED SERVERS

  • JOINS – Table Comparisons Queries
  • INNER JOINS For Matching Data
  • OUTER JOINS For (non) Match Data
  • Left Outer Joins with Example Queries
  • Right Outer Joins with Example Queries
  • FULL Outer Joins – Realtime Scenarios
  • Join Queries with “ON” Conditions
  • CROSS JOIN and CROSS APPLY
  • One-way, Two way Data Comparisons
  • Linked Servers Configurations
  • Linked Servers: RPC Settings & Tests
  • Linked Servers, Remote Joins in TSQL
  • Multi Server Connections, DB Access
  • 2 Part, 3 Part, 4 Part Name Conventions

Chapter 8: VIEW, SPs, FUNCTIONS BASICS

  • Database Objects: Overview & Usage
  • Views: Types, Usage in Real-time
  • System Predefined Views and Audits
  • Listing Databases, Tables, Schemas
  • Functions: Types, Usage in Real-time
  • System Predefined Functions, Audits
  • DBId, DBName, ObjectID, ObjectName
  • Using Parameters in SQL Server
  • Dynamic Joins for Database Audits
  • Procedures: Types, Usage in Real-time
  • User & System Predefined Procedures
  • Parameters and Dynamic SQL Queries
  • Sp_help, Sp_helpdb and sp_helptext
  • sp_pkeys, sp_rename and sp_help

Chapter 9: Triggers & Transactions

  • Triggers – Purpose, Real-world Usage
  • FOR/AFTER Triggers – Real time Use
  • INSTEAD OF Triggers – Real time Use
  • INSERTED, DELETED Memory Tables
  • Using Triggers for Data Replication
  • Enable Triggers and Disable Triggers
  • Database Level, Server Level Triggers
  • Transactions : Types, ACID Properties
  • Transaction Types and AutoCommit
  • EXPLICIT & IMPLICIT Transactions
  • COMMIT and ROLLBACK Statements
  • Open Transaction Scenarios & Cause
  • Query Blocking Scenarios @ Real-time
  • NOLOCK and READPAST Lock Hints

Chapter 10: DB Architecture & Group By

  • Database Architecture: Data Files
  • Database Architecture: Log Files
  • Primary and Secondary Data Files
  • Log Files Creation and Realtime Use
  • Creating and Using Filegroups
  • Linking Tables with Filegroups
  • Scripting Database and Objects
  • GROUP BY: Importance, Realtime Use
  • GROUP BY Queries and Aggregations
  • Group By Queries with Having Clause
  • Group By Queries with Where Clause
  • Using WHERE and HAVING in T-SQL
  • Using Group By in Data Audits
  • Using Group By with Joins, Audits

Chapter 11: TSQL Queries: Group By, Joins

  • Joins with Group By Queries in TSQL
  • Joining 3 Tables with Group By
  • Joining  4 Tables with Group By
  • Multi Table Joins with Table Aliases
  • Table & Column Aliases with Joins
  • Joins with HAVING Conditions
  • Joins with WHERE & Aggregations
  • Joins with Sub Queries, Formatting
  • Joins with IIF() Function, Conditions
  • Joins with CASE Statement Conditions
  • UNION and UNION ALL Operator
  • Storing Queries in Database Views
  • Office Data Connections, Excel Reports
  • Manual Data Refresh & Reports

Chapter 12 : ER MODELS, NORMAL FORMS

  • First Normal Form and Atomicity
  • Second Normal Form, Candidate Keys
  • 3rd Normal Form Multi Value Dependency
  • Boycee-Codd Normal Form : BNCF
  • Fourth Normal Form Realtime Advantages
  • Self Reference Keys and 4 NF Usage
  • 1:1, 1:M, M:1, M:M Relationship Types
  • MERGE Statement – Comparing Tables
  • WHEN MATCHED and NOT MATCHED
  • Incremental Load with MERGE Statement
  • UPSERT Operations with MERGE
  • Stored Procedures for Merge Statement
  • DML Operations with ON Keyword
  • Tuning / Optmizing Merge Statement

Case Study 1 –
For Database, Table Design (Constraints, Keys)

Case Study 2 –
For Query Writing + Window Functions
(Rank, RowNumber)

Course 2 : MSBI (SSIS, SSAS, SSRS) Training [Applicable for MSBI Plan A, B, C]

SQL Server Integration Services (SSIS)

Chapter 1: SSIS INTRO, INSTALLATION

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

Chapter 2: SSIS ETL PACKAGES: BASICS

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

Chapter 3: MERGE & FUZZY LOOKUP

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

Chapter 4: SSIS CHECKPOINT & PIVOT

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

Chapter 5: EVENTS, LOOPS, EXPRESSIONS

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

Chapter 6: SSIS with ETL, Warehouse (DWH)

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

Chapter 7: Checksum & DWH Design

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

Chapter 8: CDC Transformations for DWH

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

Chapter 9: Fact Table Design, DWH Loads

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

Chapter 10: DWH MIGRATIONS, SCRIPT Task

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

Chapter 11: SSIS DEPLOYMENTS, UPGRADES

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

SQL Server Analysis Services (SSAS)

Chapter 1: SSAS INTRO, CONFIGURATION

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

Chapter 2: CUBE DESIGN WITH SSAS, EXCEL

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

Chapter 3: HIERARCHIES, MDX – LEVEL 1

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

Chapter 4: CALCULATIONS, MDX – LEVEL 2

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

Chapter 5: PARTITIONS & AGGREGATIONS

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

Chapter 6: KPIs, OLAP CUBE DEPLOYMENTS

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

Chapter 7: TABULAR CUBE DESIGN

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

Chapter 8: TABULAR MODE CUBES, DAX – 1

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

Chapter 9: TABULAR MODE – DAX LEVEL 2

  • KPIs (Key Performance Indicators) & Use
  • Partitions in Tabular Mode Cube Design
  • Using Power Query for Partition Design
  • Power Query Expressions and Data Filters
  • Import Data Options and ETL Operations
  • Defining Measures with DAX Expressions
  • Defining Perspectives for Cube Access
  • Data Expression Language (DAX) Basics
  • DAX Usage : Columns & Measures in SSAS
  • Auto-generated Expressions in DAX, Usage
  • Member Representations in DAX Queries
  • DAX Functions, Expressions, Real-time Use
  • Standard and Time Intelligence Functions
  • DAX FILTER(), CALCULATE() Operations
  • Time Dimension and YTD(), QTD(), MTD()

Chapter 10: OLAP DATABASE MANAGEMENT

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

Chapter 11: Real-time Project for SSAS

  • Working with SQL Server Data Sources
  • Data Modeling and Relation Management
  • Creating Bridging Tables and References
  • Identifying Measures and Measure Groups
  • Identifyig Attributes and Dimensions
  • Adding Hierarchies and Attribute Relations
  • Time Intelligence and BI Enhancements
  • Cube Calculations with MDX / DAX
  • Defining KPIs, Perspectives, Roles
  • Cube Deployment Options with MS OLAP
  • Adding Hierarchies and Attribute Relations
  • Time Intelligence and BI Enhancements
  • Cube Calculations with MDX / DAX
  • Defining KPIs, Perspectives, Roles
  • Cube Deployment & End user Cube Access
  • DAX Queries in MS Excel (Excel Analyzer)

SQL Server Reporting Services (SSRS)

Chapter 1: SSRS INTRO, INSTALLATION

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

Chapter 2: BASIC REPORT DESIGN

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

Chapter 3: GROUPING, REPORT PARAMETERS

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

Chapter 4: CHARTS, DASHBOARDS, FITLERS

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

Chapter 5: EXPRESSIONS, SHARED DATASETS

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

Chapter 6: REPORT BUILDER, GAUGES

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

Chapter 7: REPORT BUILDER, MAP REPORTS

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

Chapter 8: REPORT MANAGEMENT

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

Chapter 9: MOBILE, KPI, CUBE REPORTS

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

Chapter 10: PROJECT WORK in SSRS

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

End to End Implementation (Real-time)

  • End to End MSBI Implementation Process
  • Project Requirements and SDLC Life Cycle
  • Database Design and Entity Selection
  • Understanding OLTP Databases, Relations
  • Design of DWH : Data Warehouse Database
  • SCD Techniques for ETL, Dimension Loads
  • Fact Loads, STAR / SNOWFLAKE Schemas
  • DWH Database Limitations for Analysis
  • OLAP Databases for Data Analysis
  • Cube Design and Operational Modes
  • Mode Selection and Capacity Planning
  • Tabular Mode OLAP Cube: Advantages
  • Excel Analysis and Reports with MDX
  • Using DAX for Modeling, Cube Reports
  • Paginated Reports with OLAP, DWH
  • MSBI Limitations, Need for Azure BI

Chapter 12: Realtime Project for SSIS & DWH

Chapter 12: Integration with Power BI [Plan C]

MSBI Resume Guidance, Interview FAQs

Module 3: Power BI Training Content

Part 1: Power BI Report Design

Ch 1 : POWER BI BASICS

  • Power BI Job Roles in Real-time
  • Power BI Data Analyst Job Roles
  • Business Analyst – Job Roles
  • Power BI Developer – Job Roles
  • Power BI for Data Scientists
  • Comparing MSBI and Power BI
  • Comparing Tableau and Power BI
  • MCSA 70-778, MCSA 70-779 Exam
  • Types of Reports in Real-World
  • Interactive & Paginated Reports
  • Analytical & Mobile Reports
  • Data Sources Types in Power BI
  • Power BI Licensing Plans – Types
  • Power BI Training : Lab Plan
  • Power BI Dev & Prod Environments

Ch 2: BASIC REPORT DESIGN

  • Power BI Desktop Installation
  • Data Sources & Visual Types
  • Canvas, Visualizations and Fields
  • Get Data and Memory Tables
  • In-Memory xvelocity Database
  • Table and Tree Map Visuals
  • Format Button and Data Labels
  • Legend, Category and Grid
  • PBIX and PBIT File Formats
  • Visual Interaction, Data Points
  • Disabling Visual Interactions
  • Edit Interactions – Format Options
  • SPOTLIGHT & FOCUSMODE
  • CSV and PDF Exports. Tooltips
  • Power BI EcoSystem, Architecture

Ch 3 : Visual Sync, Grouping

  • Slicer Visual : Real-time Usage
  • Orientation, Selection Properties
  • Single & Multi Select, CTRL Options
  • Slicer : Number, Text and Date Data
  • Slicer List and Slicer Dropdowns
  • Visual Sync Limitations with Slicer
  • Disabling Slicers,Clear Selections
  • Grouping : Real-time Use, Examples
  • List Grouping and Binning Options
  • Grouping Static / Fixed Data Values
  • Grouping Dynamic / Changing Data
  • Bin Size and Bin Limits (Max, Min)
  • Bin Count and Grouping Options
  • Grouping Binned Data, Classification

Ch 4 : Hierarchies, Filters

  • Creating Hierarchies in Power BI
  • Independent Drill-Down Options
  • Dependant Drill-Down Options
  • Conditional Drilldowns, Data Points
  • Drill Up Buttons and Operations
  • Expand & Show Next Level Options
  • Dynamic Data Drills Limitations
  • Show Data and See Records
  • Filters : Types and Usage in Real-time
  • Visual Filter, Page Filter, Report Filter
  • Basic, Advanced and TOP N Filters
  • Category and Summary Level Filters
  • DrillThru Filters, Drill Thru Reports
  • Keep All Filters” Options in DrillThru
  • CrossReport Filters, Include, Exclude

Ch 5 : Bookmarks, Azure, Modeling

  • Drill-thru Filters, Page Navigations
  • Bookmarks : Real-time Usage
  • Bookmarks for Visual Filters
  • Bookmarks for Page Navigations
  • Selection Pane with Bookmarks
  • Buttons, Images with Actions
  • Buttons, Actions and Text URLs
  • Bookmarks View & Selection Pane
  • OLTP Databases, Big Data Sources
  • Azure Database Access, Reports
  • Import & Direct Query with Power BI
  • SQL Queries and Enter Data
  • Data Modeling : Currency, Relations
  • Summary, Format, Synonyms
  • Web View & Mobile View in PBI

Ch 6 : Visualization Properties

  • Stacked Charts and Clustered Charts
  • Line Charts, Area Charts, Bar Charts
  • 100% Stacked Bar & Column Charts
  • Map Visuals: Tree, Filled, Bubble
  • Cards, Funnel, Table, Matrix
  • Scatter Chart : Play Axis, Labels
  • Series Clusters & Selections
  • Waterfall Chart and ArcGIS Maps
  • Infographics, Icons and Labels
  • Color Saturation, Sentiment Colors
  • Column Series, Column Axis in Lines
  • Join Types : Round, Bevel, Miter
  • Shapes, Markers, Axis, Plot Area
  • Display Units,Data Colors,Shapes
  • Series, Custom Series and Legends

Part 2: ETL, Data Modeling, DAX

Ch 7 : POWER QUERY LEVEL 1

  • Power Query M Language Purpose
  • Power Query Architecture and ETL
  • Data Types, Literals and Values
  • Power Query Transformation Types
  • Table & Column Transformations
  • Text & Number Transformations
  • Date, Time and Structured Data
  • List, Record and Table Structures
  • let, source, in statements @ M Lang
  • Power Query Functions, Parameters
  • Invoke Functions, Execution Results
  • Get Data, Table Creations and Edit
  • Merge and Append Transformations
  • Join Kinds, Advanced Editor, Apply
  • ETL Operations with Power Query

Ch 8 : POWER QUERY LEVEL 2

  • Query Duplicate, Query Reference
  • Group By and Advanced Options
  • Aggregations with Power Query
  • Transpose, Header Row Promotion
  • Reverse Rows and Row Count
  • Data Type Changes & Detection
  • Replace Columns: Text, NonText
  • Replace Nulls: Fill Up, Fill Down
  • PIVOT, UNPIVOT Transformations
  • Move Column and Split Column
  • Extract, Format and Numbers
  • Date & Time Transformations
  • Deriving Year, Quarter, Month, Day
  • Add Column : Query Expressions
  • Query Step Inserts and Step Edits

Ch 9 : POWER QUERY LEVEL 3

  • Creating Parameters in Power Query
  • Parameter Data Types, Default Lists
  • Static/Dynamic Lists For Parameters
  • Removing Columns and Duplicates
  • Convert Tables to List Queries
  • Linking Parameters to Queries
  • Testing Parameters and PBI Canvas
  • Multi-Valued Parameter Lists
  • Creating Lists in Power Query
  • Converting Lists to Table Data
  • Advanced Edits and Parameters
  • Data Type Conversions, Expressions
  • Columns From Examples, Indexes
  • Conditional Columns, Expressions

Ch 10 : DAX Functions – Level 1

  • DAX : Importance in Real-time
  • Real-world usage of Excel, DAX
  • DAX Architecture, Entity Sets
  • DAX Data Types, Syntax Rules
  • DAX Measures and Calculations
  • ROW Context and Filter Context
  • DAX Operators, Special Characters
  • DAX Functions, Types in Real-time
  • Vertipaq Engine, DAX Cheat Sheet
  • Creating, Using Measures with DAX
  • Creating, Using Columns with DAX
  • Quick Measures and Summaries
  • Validation Errors, Runtime Errors
  • SUM, AVERAGEX, KEEPFILTERS
  • Dynamic Expressions, IF in DAX

Ch 11 : DAX Functions – Level 2

  • Data Modeling Options in DAX
  • Detecting Relations for DAX
  • Using Calculated Columns in DAX
  • Using Aggregated Measures in DAX
  • Working with Facts & Measures
  • Modeling : Missing Relations
  • Modeling : Relation Management
  • CALCULATE Function Conditions
  • CALCULATE & ALL Member Scope
  • RELATED & COUNTROWS in DAX
  • Entity Sets and Slicing in DAX
  • Dynamic Expressions, RETURN
  • Date, Time and Text Functions
  • Logical, Mathematical Functions
  • Running Total & EARLIER Function

Ch 12 : DAX FUNCTIONS Level 3

  • 1:1, 1:M and M:1 Relations
  • Connection with CSV, MS Access
  • AVERAGEX and AVERAGE in DAX
  • KEEPFILTERS and CALCUALTE
  • COUNTROWS, RELATED, DIVIDE
  • PARALLELPERIOD, DATEDADD
  • CALCULATE & PREVIOUSMONTH
  • USERELATIONSHIP, DAX Variables
  • TOTALYTD , TOTALQTD
  • DIVIDE, CALCULATE, Conditions
  • IF..ELSE..THEN Statement
  • SELECTEDVALUE, FORMAT
  • SUM, DATEDIFF Examples in DAX
  • TODAY, DATE, DAY with DAX
  • Time Intelligence Functions – DAX

Part 3: Power BI Cloud, Admin

Ch 13 : POWER BI CLOUD – 1

  • Power BI Service Architecture
  • Power BI Cloud Components, Use
  • App Workspaces, Report Publish
  • Reports & Related Datasets Cloud
  • Creating New Reports in Cloud
  • Report Publish and Report Uploads
  • Dashboards Creation and Usage
  • Adding Tiles to Dashboards
  • Pining Visuals and Report Pages
  • Visual Pin Actions in Dashboards
  • LIVE Page Interaction in Dashboard
  • Adding Media: Images, Custom Links
  • Adding Chs and Embed Links
  • API Data Sources, Streaming Data
  • Streaming Dataset Tiles (REST API)

Ch 14 : POWER BI CLOUD – 2

  • Dashboards Actions,Report Actions
  • DataSet Actions: Create Report
  • Share, Metrics and Exports
  • Mobile View & Dashboard Themes
  • Q & A [Cortana] and Pin Visuals
  • Export, Subscribe, Subscribe
  • Favorite, Insights, Embed Code
  • Featured Dashboards and Refresh
  • Gateways Configuration, PBI Service
  • Gateway Types, Cloud Connections
  • Gateway Clusters, Add Data Sources
  • Data Refresh : Manual, Automatic
  • PBIEngw Service, ODG Logs, Audits
  • DataFlows, Power Query Expressions
  • Adding Entities and JSON Files

Ch 15 : EXCEL & RLS

  • Import and Upload Options in Excel
  • Excel Workbooks and Dashboards
  • Datasets in Excel and Dashboards
  • Using Excel Analyzer in Power BI
  • Using Excel Publisher in PBI Cloud
  • Excel Workbooks, PINS in Power BI
  • Excel ODC Connections, Power Pivot
  • Row Level Security (RLS) with DAX
  • Need for RLS in Power BI Cloud
  • Data Modeling in Power BI Desktop
  • DAX Roles Creation and Testing
  • Adding Power BI Users to Roles
  • Custom Visualizations in Cloud
  • Histogram,Gantt Chart,Infographics

Ch 16 : Report Server, RDL

  • Need for Report Server in PROD
  • Install, Configure Report Server
  • Report Server DB, Temp Database
  • Webservice URL, Webportal URL
  • Creating Hybrid Cloud with Power BI
  • Using Power BI DesktopRS
  • Uploading Interactive Reports
  • Report Builder For Report Server
  • Report Builder For Power BI Cloud
  • Designing Paginated Reports (RDL)
  • Deploy to Power BI Report Server
  • Data Source Connections, Report
  • Power BI Report Server to Cloud
  • Tenant IDs Generation and Use
  • Mobile Report Publisher, Usage

Ch 17: MSBI Integrations

  • Power BI with SQL Server Source
  • Power BI with SQL Data Warehouse
  • Power BI with SSAS OLAP Server
  • Power BI with Azure SQL DB Source
  • Power BI with Azure SQL Warehouse
  • Power BI with Azure Analysis Server
  • Power BI with SSRS (RDL) Reports
  • Power BI Report Builder Tool
  • Installation & Configuration
  • Paginated Reports Design, Use
  • Data Sources, Datasets, RDL
  • Report Publish (RDL) to Cloud
  • Report Verifications, Data Sync
  • Interactive Vs Paginated Reports
  • Creating, Managing Alerts in Cloud

Ch 18 : REAL-TIME PROJECT

  • Project Requirement Analysis
  • Implementing SDLC Phases
  • Requirement Gathering, FSA

Phase 1:

  • PBIX Report Design
  • Visualizations, Properties
  • Analytics and Formating

Phase 2:

  • Data Modeling, Power Query
  • Dynamic Connections, Azure DB
  • Parameters and M Lang Scripts

Phase 3:

  • DAX Requirements, Analysis
  • Cloud and Report Server
  • Project FAQs and Solutions

MSBI (SSIS, SSAS, SSRS) Training Plans

Plan A

1. MSBI

Plan B

1. T-SQL
2. MSBI

Plan C

1. T-SQL
2. MSBI
3. Power BI
Course Duration6 Weeks9 Weeks13 Weeks
MSBI - SSIS: ETL, Data Warehouse
MSBI - SSIS: Dimension, Fact Loads
MSBI - SSIS: Star & Snowflake Schemas
MSBI - SSAS: OLAP Cube Design
MSBI - SSAS: MDX, DAX, XMLA, DMX
MSBI - SSAS: Data Modeling with MDX
MSBI - SSAS: Data Modeling with DAX
MSBI - SSRS: Report Design, Hosting
MSBI - SSRS: Azure Cloud Data Source
MSBI: Real-Time Project
SQL : Basic SQL, SQL Server Concepts
T-SQL : Queries, Joins, Group By
T-SQL : Queries, SProcs, Lock Hints
T-SQL: Queries, Normal Forms, Excel
Power BI Report Design
Power BI Desktop, Custom Visuals
Data Modelling with Power Query
Data Modelling with DAX
Power BI Cloud, Excel Analysis
Power BI Mobile, R, REST API
PL 300 Exam Guidance
Total Course Fee*INR 18000USD 230INR 23000USD 280INR 35000USD 440

SQL Server & T-SQL Schedules

S NoTime (IST, Mon - Fri)Start DateTrainerRegister
19 AM - 10 AMNov 25thMr. Sai Phanindra Register
210:30 AM - 11:30 AMDec 10thMr. Sai Phanindra Register
38 PM - 9 PMDec 2ndMr. Sai PhanindraRegister

MSBI Training Schedules

S NoTime (IST, Mon - Fri)Start DateRegister
19:15 AM - 10:15 AM Nov 22ndRegister

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24x7 LIVE Online Server (Lab) with Real-time Databases.
Course includes ONE Real-time Project.

Technical FAQs

Who is SQL School? How far you have been in the training services ?

SQL School is a registered training institute, established in February 2008 at Hyderabad, India. We offer Real-time trainings and projects including Job Support exclusively on Microsoft SQL ServerT-SQLSQL Server DBA and MSBI (SSISSSASSSRS) Courses. All our training services are completely practical and real-time.CREDITS of SQL School Training Center

  • We are Microsoft Partner. ID# 4338151
  • ISO Certified Training Center
  • Completely dedicated to Microsoft SQL Server
  • All trainings delivered by our Certified Trainers only
  • One of the few institutes consistently delivering the trainings for more than 8+ Years online as inhouse
  • Real-time projects in
    • Healthcare
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    • Insurance
    • Retail Sales
    • Telecom
    • ECommerce

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Why you need our Contact Number and Full Name for Demo/Training Registration?

This is to make sure we are connected to the authenticated / trusted attendees as we need to share our Bank Details / Other Payment Information once you are happy with our Training Procedure and demo session. Your contact information is maintained completely confidential as per our Privacy Policy. Payment Receipt(s) and Course Completion Certificate(s) would be furnished with the same details.

What is the Training Registration & Confirmation Process?

Upon submitting demo registration form and attending LIVE demo session, we need to receive your email confirmation on joining for the training. Only then, payment details would be sent and slot would be allocated subject to availability of seats. We have the required tools for ensuring interactivity and quality of our services.

Please Note: Slot Confirmation Subject to Availability Of Seats.

How am I assured quality of the services?

We have been providing the Trainings – Online, Video and Classroom for the last EIGHT years – effectively and efficiently for more than 100000 (1 lakh) students and professionals across USA, India, UK, Australia and other countries. We are dedicated to offer realtime and practical project oriented trainings exclusively on SQL Server and related technologies. We do provide 24×7 Lab and Assistance with Job Support – even aftrer the course! To make sure you are gaining confidence on our trainings, participans are requested to attend for a free LIVE demo based on the schedules posted @ Register. Alternatively, participants may request for video demo by mailing us to contact@sqlschool.com Registration process to take place once you are happy with the demo session. Further, payments accepted in installments (via Paypal / Online Banking) to ensure trusted services from SQL School™

YES, We use Enterprise Edition Evaluation Editions (Full Version with complete feature support valid for SIX months) for our trainings. Software and Installation Guidance would be provided for T-SQL, SQL DBA and MSBI / DW courses.

Why Choose SQL School

  • 100% Real-Time and Practical
  • ISO 9001:2008 Certified
  • Concept wise FAQs
  • TWO Real-time Case Studies, One Project
  • Weekly Mock Interviews
  • 24/7 LIVE Server Access
  • Realtime Project FAQs
  • Course Completion Certificate
  • Placement Assistance
  • Job Support
  • Realtime Project Solution
  • MS Certification Guidance
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