shiva-techno-msbi

MSBI

Description

MSBI or Microsoft Business Intelligence is a powerful software tool developed by Microsoft to provide the best business intelligence solutions. It is composed of various tools which help in finding solutions for Data mining queries and business intelligence platforms.  

Key Features

Microsoft Business Intelligence Training Provided by Mindmajix makes you master Business intelligence and data mining tools. In this course, you will learn how to integrate, analyze, report the SQL server. MSBI course allows you to configure and use the business intelligence tools. This training injects you the required knowledge on ETL Solutions, SSIS packages, OLTP, OLAP, how to configure SSRS, etc. With the MSBI tools, companies can make the right decisions and can implement their plans immediately. With the support of this training, you can succeed in the MSBI Certification exam.

  • 24 Hrs. Instructor Led Training
  • Certification & Job Assistance
  • Customized Schedule
  • Pay in 2 Installments
  • Good Theory Material
  • We Provide Class Videos
  • Real -Time Project

Course Curriculum

SQL SERVER INTEGRATION SERVICES (SSIS)

SQL SERVER ANALYTICS SERVICES (SSAS)

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
  • No match 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
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
  • Pie chart 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 Queries, 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

Our Trainers.

Our Trainers fully trained on how to handle students by provide complete freedom to get out the students innovative and probelem solving skills to understand the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects. And even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

 

  • Every Trainer experience between 5 to 15 Yearsof Experience.
  • Trained more than 500+students every year.
  • Strong Theoretical & Practical Knowledge.
  • Certified Professionals with High Quality in training delivery.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Most of our trainer working in multnational companies.

Testmonials

SHIVA TECNO is the best place to learn MSBI course. They provide unique course materials, a curriculum plan and well-trained instructors along with 24/7 support. The course content prepared SHIVA TECHNO is extremely in line with real-time.

 

Madhavi Latha

 

Thank You, I have taken training in SHIVA TECHNO. It’s really an awesome experience. All the concepts were covered without any compromise.

Ram Charan Guptha

Student, Student

FAQ’s

What skills will you learn in our MSBI Training?

This MSBI training facilitates you in learning the following skills:

  • Configuring and using Business Intelligence Tools.
  • Learn how to import, and Export Wizard, control flow and data flow tasks.
  • Understand Data transformation and Data viewers
  • Learn how to integrate various BI tools to form a complete BI solution.
  • Understand how to deploy the cube and how to retrieve data from the cube.
  • Master Microsoft’s power view and Report Builder.
  • Implement ETL Using SQL Integration Services.
Who can take this online MSBI Training?

As the MSBI course is based on business intelligence, software architects, ETL Developers, Business intelligence professionals are fit for this course. Anyone who wants to learn MSBI can also attend this course.

What are prerequisites of MSBI course?

Having a basic knowledge of RDBMS, DMDW(Data warehouse and Data Mining), SQL is recommended for attending this course. 

Do I get any discount on the course?

Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.

Do SHIVA TECHNO accepts the course fees in installments?

Yes, we accept payments in two installments.

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S-S: Closed

Contact Us

Call Us:  +91 9849683033

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