Professional Course

Developing SQL Data Models (MS-20768)

QuickStart, Online
Length
16 hours
Length
16 hours
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Course description

Developing SQL Data Models (MS-20768)

About this course

The basic focus of Microsoft training course is help student prepare for Microsoft 70-768: Developing SQL Data Models certification exam. It further focuses on teaching students for developing SQL data models along with this, it also teaches how to execute tabular, multidimensional data models and creating managed enterprise BI solutions, cubes, measures, dimensions and lastly, measure groups. It will also give a detailed view of SQL (Structured Query Language) and data modeling. The data modelling is the procedure of authenticating an intricate software system design as a simple diagram. This diagram is made using symbols and text to represent the flow data required. This very diagram can be utilized as a blueprint for re-structuring a legacy application or for developing a new software. On the other hand, SQL is a programming language for executing various tasks, operating on the data and managing relational databases.

The average salary for Data Engineer with SQL Skills is $82,958 per year.

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Who should attend?

Audience

The data professional who require to complete BI developer role for developing enterprise BI solution are the main attendees of the course. 
The initial tasks comprise of:

  • Use SQL Server Analysis Services to create tabular semantic models for analysis.
  • Use SQL Analysis Services to implement multidimensional databases. 

Prerequisites

The attendees of the course must have knowledge to:

  • Use Transact-SQL for querying data.

Training content

Course Objectives

The attendees of this course will learn to:

  • Use Analysis Services to develop a multidimentional database.
  • Estimate groups in a cube and execute actions.
  • Cube customization.
  • To query tabular model with use of DAX.
  • BI solution’s  structure, component and nature description.
  • Execute dimensions in the cube.
  • Use MDX syntax.
  • Predict analysis with use of data mining.
  • Execute a tabular database.

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