MCSA- SQL Server 2016 Business Intelligence Development Training Course Online Course

MCSA- SQL Server 2016 Business Intelligence Development Training Course

All levels
English

Course Description

MCSA SQL Server 2016 BI course from BIT aims to equip BI developers with core knowledge and skills to implement business intelligence solutions for SQL Server 2016. Database professionals and Business Intelligence (BI) developers will learn to use SQL Server Analysis Services (SSAS), and utilize it to create tabularly semantic data models for analysis. This SQL Server BI training is ideal for database professionals who are responsible for fulfilling the role of a BI Developer for creating enterprise BI solutions. Power users, information workers, and data analysts can also attend this course for a better understanding of SSAS in SQL Server BI. The course covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install. SSIS is an ETL tool that performs various operations like loading the data based on need, executes data related calculations, and defines a workflow for the process and tasks.

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What you’ll learn

Live Class Practical Oriented Training
Timely Doubt Resolution
Dedicated Student Success Mentor
Certification & Job Assistance
Free Access to Workshop & Webinar
No Cost EMI Option
Working with measures and measure groups. Performing predictive analysis with data mining
Understand the underlying architecture, components, and properties of a BI solution.
Implement dimensions, measures and measure groups in a cube. Create a tabular database. Query a tabular model using DAX
Customize a cube. Implement MDX syntax. Perform data mining for predictive analysis
Use SSAS analysis services for creating a multidimensional database

Covering Topics

Part-1 Exam 70-767: Implementing a Data Warehouse using SQL

Part-2 Exam 70-768: Developing SQL Data Models

Curriculum

  Part-1 Exam 70-767: Implementing a Data Warehouse using SQL
Live Lectures 1-14 
Implementing SQL Data Warehouse (SSIS) training course imparts core skills on the implementation of data warehouse platform for supporting a BI solution. Participants enrolled for this SQL Data Warehouse certification will learn to create the data warehouse with Microsoft SQL Server 2016 and Azure SQL Data Warehouse. The course also covers the Implementation of ETL using Integration Services, validation and cleansing of data using Data Quality Services and Master Data Services.


Lecture 1: Introduction to Data Warehousing
Live Lecture 
·      Lessons

·      Overview of Data Warehousing

·      Considerations for a Data Warehouse Solution

·      Lab

·      Exploring a Data Warehousing Solution               


Lecture 2: Planning Data Warehouse Infrastructure
Live Lecture 
·      Lessons

·      Considerations for Data Warehouse Infrastructure

·      Planning Data Warehouse Hardware

·      Lab

·      Planning Data Warehouse Infrastructure              


Lecture 3: Designing and Implementing a Data Warehouse
Live Lecture 
·      Lessons

·      Data Warehouse Design Overview

·      Designing Dimension Tables

·      Designing Fact Tables

·      Physical Design for a Data Warehouse

·      Lab

·      Implementing a Data Warehouse              


Lecture 4: Column store Indexes
Live Lecture 
·      Lessons

·      Introduction to Column store Indexes

·      Creating Column store Indexes

·      Working with Column store Indexes

·      Lab

·      Using Column store Indexes                     


Lecture 5: Implementing an Azure SQL Data Warehouse
Live Lecture 
·      Lessons

·      Advantages of Azure SQL Data Warehouse

·      Implementing an Azure SQL Data Warehouse Database

·      Developing an Azure SQL Data Warehouse

·      Migrating to an Azure SQL Data Warehouse

·      Copying Data with the Azure Data Factory

·      Lab

·      Implement an Azure SQL Data Warehouse                     


Lecture 6: Creating an E.T.L. Solution
Live Lecture 
·      Lessons

·      Introduction to ETL with SSIS

·      Exploring Source Data

·      Implementing Data Flow

·      Lab

·      Implementing Data Flow in an SSIS Package                  


Lecture 7: Implementing Control Flow in a S.S.I.S. Package
Live Lecture 
·      Lessons

·      Introduction to Control Flow

·      Creating Dynamic Packages

·      Using Containers

·      Managing Consistency

·      Lab

·      Implementing Control Flow in an SSIS Package

·      Using Transactions and Checkpoints                    


Lecture 8: Debugging & Troubleshooting S.S.I.S. Packages
Live Lecture 
·      Lessons

·      Debugging an SSIS Package

·      Logging SSIS Package Events

·      Handling Errors in an SSIS Package

·      Lab

·      Debugging and Troubleshooting an SSIS Package                      


Lecture 9: Implementing a Data Extraction Solution
Live Lecture 
·      Lessons

·      Introduction to Incremental ETL

·      Extracting Modified Data

·      Loading Modified Data

·      Temporal Tables

·      Lab

·      Extracting Modified Data

·      Loading a Data Warehouse                       


Lecture 10: Enforcing Data Quality
Live Lecture 
·      Lecture 10: Enforcing Data Quality

·      Lessons

·      Introduction to Data Quality

·      Using Data Quality Services to Cleanse Data

·      Using Data Quality Services to Match Data

·      Lab

·      Cleansing Data

·      Duplicating Data               


Lecture 11: Master Data Services
Live Lecture 
·      Lessons

·      Introduction to Master Data Services

·      Implementing a Master Data Services Model

·      Hierarchies and Collections

·      Creating a Master Data Hub

·      Lab

·      Implementing Master Data Services Model                      


Lecture 12: Extending SQL Server Integration Services
Live Lecture 
·      Lessons

·      Using Scripts in SSIS

·      Using Custom Components in SSIS

·      Lab

·      Using Custom Scripts                   


Lecture 13: Deploying & Configuring S.S.I.S. Packages
Live Lecture 
·      Lessons

·      Overview of SSIS Development 13-2

·      Deploying SSIS Projects 13-5

·      Planning SSIS Package Execution 13-14

·      Lab

·      Deploying and Configuring SSIS Packages                     


Lecture 14: Consuming Data in a Data Warehouse
Live Lecture 
·      Lessons

·      Introduction to Business Intelligence

·      Introduction to Data Analysis

·      Introduction to Reporting

·      Analysing Data with Azure SQL Data Warehouse

·      Lab

·      Using a Data Warehouse

  Part-2 Exam 70-768: Developing SQL Data Models
Live Lectures 15-23 
Developing SQL Data Models course imparts core skills to implement multidimensional databases using SSAS (SQL Server Analysis Services), and create tabular semantic data models for analysis. This SSAS training is meant for database professionals who create enterprise BI solutions in order to fulfil the role of a BI Developer. This SQL Data Model Development course is also suitable for power users, information workers and data analysts.


Lecture 15: Introduction to Business Intelligence & Data Modelling
Live Lecture 
This Lecture introduces key BI concepts and the Microsoft BI product suite.

·      Lessons

·      Introduction to Business Intelligence

·      The Microsoft business intelligence platform

·      Lab : Exploring a Data Warehouse

·      After completing this Lecture, you will be able to:

·      Describe the concept of business intelligence

·      Describe the Microsoft business intelligence platform                 


Lecture 16: Creating Multidimensional Databases
Live Lecture 
This Lecture describes the steps required to create a multidimensional database with analysis services.

·      Lessons

·      Introduction to multidimensional analysis

·      Course details

·      Creating data sources and data source views

·      Creating a cube

·      Overview of cube security

·      Lab : Creating a multidimensional database

·      After completing this Lecture, you will be able to:

·      Use multidimensional analysis

·      Create data sources and data source views

·      Create a cube

·      Describe cube security                  


Lecture 17: Working with Cubes and Dimensions
Live Lecture 
This Lecture describes how to implement dimensions in a cube.

·      Lessons

·      Configuring dimensions

·      Define attribute hierarchies

·      Sorting and grouping attributes

·      Lab : Working with Cubes and Dimensions

·      After completing this Lecture, you will be able to:

·      Configure dimensions

·      Define attribute hierarchies.

·      Sort and group attributes              


Lecture 18: Working with Measures and Measure Groups
Live Lecture 
This Lecture describes how to implement measures and measure groups in a cube.

·      Lessons

·      Working with measures

·      Working with measure groups

·      Lab : Configuring Measures and Measure Groups

·      After completing this Lecture, you will be able to:

·      Work with measures

·      Work with measure groups           


Lecture 19: Introduction to M.D.X.
Live Lecture 
This Lecture describes the MDX syntax and how to use MDX.

·      Lessons

·      MDX fundamentals

·      Adding calculations to a cube

·      Using MDX to query a cube

·      Lab : Using MDX

·      After completing this Lecture, you will be able to:

·      Describe the fundamentals of MDX

·      Add calculations to a cube

·      Query a cube using MDX             


Lecture 20: Customizing Cube Functionality
Live Lecture 
This Lecture describes how to customize a cube.

·      Lessons

·      Implementing key performance indicators

·      Implementing actions

·      Implementing perspectives

·      Implementing translations

·      Lab : Customizing a Cube

·      After completing this Lecture, you will be able to:

·      Implement key performance indicators

·      Implement actions

·      Implement perspectives

·      Implement translations                  


Lecture 21: Tabular Data Model by Using Analysis Services
Live Lecture 
This Lecture describes how to implement a tabular data model in Power Pivot.

·      Lessons

·      Introduction to tabular data models

·      Creating a tabular data model

·      Using an analysis services tabular model in an enterprise BI solution

·      Lab : Working with an Analysis services tabular data model

·      After completing this Lecture, you will be able to:

·      Describe tabular data models

·      Create a tabular data model

·      Be able to use an analysis services tabular data model in an enterprise BI solution         


Lecture 22: Introduction to Data Analysis Expression (DAX)
Live Lecture 
This Lecture describes how to use DAX to create measures and calculated columns in a tabular data model.

·      Lessons

·      DAX fundamentals

·      Using DAX to create calculated columns and measures in a tabular data model

·      Lab : Creating Calculated Columns and Measures by using DAX

·      After completing this Lecture, you will be able to:

·      Describe the fundamentals of DAX

·      Use DAX to create calculated columns and measures in a tabular data model                


Lecture 23: Performing Predictive Analysis with Data Mining
Live Lecture 
This Lecture describes how to use data mining for predictive analysis.

·      Lessons

·      Overview of data mining

·      Using the data mining add‐in for Excel

·      Creating a custom data mining solution

·      Validating a data mining model

·      Connecting to and consuming a data mining model

·      Lab : Perform Predictive Analysis with Data Mining

·      After completing this Lecture, you will be able to:

·      Describe data mining

·      Use the data mining add‐in for Excel

·      Create a custom data mining solution

Frequently Asked Questions

Knowledge of querying using T-SQL and basic knowledge of normalized relational databases.

The course offers a variety of online training options, including: Live Virtual Classroom Training: Participate in real-time interactive sessions with instructors and peers. 1:1 Doubt Resolution Sessions: Get personalized assistance and clarification on course-related queries. Recorded Live Lectures*: Access recorded sessions for review or to catch up on missed classes. Flexible Schedule: Enjoy the flexibility to learn at your own pace and according to your schedule.

Live Virtual Classroom Training allows you to attend instructor-led sessions in real-time through an online platform. You can interact with the instructor, ask questions, participate in discussions, and collaborate with fellow learners, simulating the experience of a traditional classroom setting from the comfort of your own space.

If you miss a live session, you can access recorded lectures* to review the content covered during the session. This allows you to catch up on any missed material at your own pace and ensures that you don't fall behind in your learning journey.

The course offers a flexible schedule, allowing you to learn at times that suit you best. Whether you have other commitments or prefer to study during specific hours, the course structure accommodates your needs, enabling you to balance your learning with other responsibilities effectively. *Note: Availability of recorded live lectures may vary depending on the course and training provider.