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Microsoft bi certification training

Microsoft bi certification training
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Microsoft BI Certification Course is designed to provide insights into different tools in Microsoft BI Suite (SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services). Companies are looking for expertise in SSIS, SSAS & SSRS concepts. This course will give you the practical knowledge of Data Warehouse concepts and how these tools help in developing a robust end-to-end BI solution using the Microsoft BI Suite.

MSBI training is designed to make you a certified Business Intelligence Analyst by providing you rich hands-on training on Microsoft's business intelligence tool. This course is the stepping stone towards your Analyst journey by work on various industrial projects.

Why this course?

Business Intelligence is one of the accelerating and most promising fields in considering all the technologies available in the IT market today. In order to take benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices.

Besides strong theoretical understanding, you need to work on various real-life BI projects using different Microsoft BI tools and concepts as a part of the solution strategy.

Additionally, you need the advice of an expert who is currently working in the industry tackling real-life Analytics challenges.

 

 


Learning Objectives: In this module, you will understand the various concepts of Data Warehousing. You will learn why we perform ETL operations before loading data to the Data warehouse. You will get a brief introduction to Business Intelligence. 

Topics:

  • Fundamental concepts of Data Warehousing
  • Concepts of Dimensions, Measures, Metadata, Schemas
  • Data Marts and Design approaches
  • Normalization and Denormalization and Schema types
  • Online Analytical Processing and Transactional Processing concepts
  • OLAP Cube
  • Types of Slowly Changing Dimensions
  • Explain ETL process and various tasks involved in it
  • Discuss Business Intelligence concepts
  • How BI works with data-warehouse
  • Describe MSBI as One stop Solution
 
Hands On/Demo:
  • Install SQL Server
  • Install SQL Server Data Tools
  • Create small ETL Tasks
 
Skills:
  • Understand Data Warehousing Concepts
  • Understand ETL Concepts
  • Understand Business Intelligence Concepts
  • Install SQL server

Learning Objectives: In this module, you will understand the need for an Integration tool and its significance in the industry. You will learn the importance of SSIS as an integration tool and get a high-level view of the overall architecture.

Topics:
  • Understand the MSBI Architecture, Import and Export wizard
  • Understand SSIS Architecture
  • Control Flow & its Components (Tasks, Containers, Precedence Constraints)
  • Data Flow & its Components (Source and Destination Connections, different types of Transformations)
  • Scenarios by combining Control Flow and Data Flow components
  • System Variables and User-defined variables
 
Hands On/Demo:
  • Create tasks and Control Flow task using SSIS
  • Create a data flow task to aggregate the records
  • Create a control flow task to create an index and run the tasks
 
Skills:
  • Understand SSIS Concepts
  • Understand Control flow and Dataflow

Learning Objectives: In this module, you will be able to differentiate between various transformations and understand their usage in various business use-cases. 

Topics:

  • Data Conversion transformation
  • Multicast transformation
  • Union all transformation
  • Conditional Split transformation
  • Merge and Merge Join transformation
  • Lookup transformation
  • Cached Lookup transformation
  • Foreach loop and use-cases
  • Advancing Execute SQL Task with Object return type and type of Outputs usage
  • Bulk-insert task
  • Archival process using dynamic variables and FST
 
Hands On/Demo:
  • Conditional Split transformation
  • Use Foreach loop to repeat Data Flow Task for multiple files
  • Use Foreach loop and File System Task for Data Archival
  • Use Slowly Changing Dimension to insert a new record and update a record
 
Skills:
  • Understand various transformations
  • Understand their usage in business use-cases

Learning Objectives: In this module, you will understand how the objects of the core SSIS workflow work and interact with each other to help in security and other key functions.

Topics:

  • Parameters, Event Handling
  • Transaction Options, CheckPoints, Logging options, Log Provider
  • Configure Error Output and OnError event
  • Package Security: Package Protection Levels
 
Hands On/Demo:
  • Create Event Handling Task
  • Parameterize a package
 
Skills:
  • Understand Event Handling
  • Understand Package Security in SSIS

Learning Objectives: In this module, you will learn advanced SSIS programming features, which will help in handling custom requirements using .Net code. In addition, you will learn to configure and deploy SSIS projects.

Topics:

  • Script Component, Package Configurations (5 types)
  • Debugging & Troubleshooting
  • Executing packages – DTExec and DTExecUI
  • Package Deployment
  • Package Scheduling using SQL Agent
  • Understand Package Performance Tuning
  • Learn SSIS Best Practices
  • Package Performance Tuning
  • SSIS Best Practices
 
Hands On/Demo:
  • Implement custom code using Script Task
  • Create a control flow task consisting of a Script task to send email
 
Skills:
  • Understand Custom Code
  • Learn Package Configuration
  • Understand Deployment Models

Learning Objectives: This module will help you in understanding SQL Server Analysis Services Overview and its Architecture. It also covers various types of SSAS models along with designing dimensions and measure groups. You will also learn about SSAS Administration with prime focus on deployment and processing.

Topics:
  • Introduction to SASS
  • It’s Architecture
  • Features of SSAS
  • Modelling in SSAS
  • Tabular Model and Multidimensional Model
  • Data Sources, Data Source Views
  • Identify the Fact and Dimensions
  • Designing Dimensions
  • Dimension Hierarchies
  • Designing Measure Groups
  • Attribute Relationships
  • Storage Modes: MOLAP, ROLAP, HOLAP, Partitions
 
Hands On/Demo:
  • Create dimensions and hierarchies
  • Define a cube
  • Create Data Source and Data Source Views
 
Skills:
  • Understand SSAS Concepts
  • Learn Data Modelling Concepts
  • Design Dimension and Measure Groups
  • Import Data in SSAS from various data sources

Learning Objectives: In this module, you will learn the basics of MDX & DAX and get to know the step by step approach of basic SSAS Performance Tuning and Troubleshooting. You will also learn the concepts of Ad-hoc Reporting and the creation of a report against SSAS as a data source. 

Topics:

  • SSAS Deployment
  • Methods of database deployment
  • Named Calculations and Named queries
  • Aggregation, KPIs, Actions, Perspectives, Translations
  • Cube Processing
  • Different Processing Options
  • Explain MDX and DAX Queries
  • Loading Data into DW using SSIS, MDX queries, DAX Queries
  • Performance Optimization of cube and Dimension, Best Practices
  • Schedule the Cube processing
 
Hands On/Demo:
  • Retrieve tabular data using DAX
  • Schedule the Cube processing
  • Retrieve data from a Cube using MDX query
 
Skills:
  • Understand SSAS Deployment and Cube Processing
  • Learn MDX and DAX Queries
  • Explain Performance Optimization

Learning Objectives: In this module, you will understand Reporting Services, its Architecture and how to configure it. You will also learn about the environment where reports are created and also about the server where the reports are deployed.

Topic:

  • SSRS Features
  • Reporting Services Architecture & Lifecycle
  • Report Parameters and Multi-Valued
  • Cascaded Parameters
  • Types of Reports: Parameterized, Linked, Snapshot, Cached, Ad hoc, Clickthrough, Drillthrough, Subreports
  • Creating Groups, Filters, Expressions Sort and Interactive Sort, Alternate Row Colors, Repeating Row Headers and Column Headers
  • Describe Mobile report publisher
  • Exporting Reports to different formats
 
Hands On/Demo:
  • Create grouping in table
  • Use interactive sort on a table
  • Create a report based on Annual Sales
  • Export report as a PDF
 
Skills:
  • Understand SSRS Concepts
  • Understand various types of Reports
  • Export Reports to different Formats

Learning Objectives: In this module, you will learn about different kinds of reports and their functionalities along with best practices to be followed. You will also learn about various SSRS Administrative activities.

Topics:

  • Web Portal
  • Deploying Reports and Data Sources
  • Securing Access to Reports (Role based Security)
  • Aspects of security
  • Data Source Security, Caching Report and Snapshot Report
  • Report Subscriptions: Standard, Data-Driven
  • Managing Subscriptions, Ad-Hoc Reporting with Report Builder
  • Integration of Power BI with SSRS
 
Hands On/Demo:
  • Assign roles to a group or a user
  • Create a Linked report
  • Enable the users from various locations to access the same project
  • Deploy and access the project using Web Portal
 
Skills:
  • Understand Web Portal
  • Configure Data Source Security
  • Develop SSRS report using MDX

Learning Objectives: In this module, you will understand how MSBI ecosystem components work together in a Business Intelligence environment to solve the Organizational data problems. This module covers end to end implementation from Data Retrieval --> Data Transformation --> Data Loading into DWH --> Data Modeling --> Report Delivery.

Topics:

  • End to End Business Intelligence Business Scenario involving SSIS, SSAS, SSRS and MDX.
  • MS BI Best Practices
 
Hands On/Demo:
  • Case study to implement a scenario using SSIS, SSAS, SSRS and MDX
 
Skills:
  • Implement scenarios using SSIS, SSAS and MDX