Professional Course

Developing SQL Data Models - MOC On Demand (MS-20768)

QuickStart, Online
Length
24 hours
Price
550 USD
Next course start
Start anytime! See details
Delivery
Self-paced Online
Length
24 hours
Price
550 USD
Next course start
Start anytime! See details
Delivery
Self-paced Online
This provider usually responds within 48 hours 👍

Course description

Developing SQL Data Models - MOC On Demand (MS-20768)

About this course:

Let’s have an insight on SQL and data modeling. SQL (Structured Query Language) is a standardized programming language used for managing relational databases and performing various operations on the data in them. Data modeling is the process of documenting a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow. The diagram can be used as a blueprint for the construction of new software or for re-engineering a legacy application. The focus of this course is on creating managed enterprise BI solutions. It describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. The actual purpose of this course is to prepare students for .

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

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Upcoming start dates

1 start date available

Start anytime!

  • Self-paced Online
  • Online

Who should attend?

Audience: 

This course is intended for: 

Database professionals who need to fulfil BI Developer role to create enterprise BI solutions.  
Primary responsibilities will  include:

  • Implementing multidimensional databases by using SQL Server Analysis Services
  • Creating tabular semantic data models for analysis by using SQL Server Analysis Services

Prerequisites:

Before attending this course, students must have:

  • Experience of querying data using Transact-SQL

Training content

Course Objective: 

After completing this course, students will be able to: 

  • Describe the components, architecture, and nature of a BI solution
  • Create a multidimensional database with Analysis Services
  • Implement dimensions in a cube
  • Implement measures and measure groups in a cube
  • Use MDX syntax
  • Customize a cube
  • Implement a tabular database
  • Use DAX to query a tabular model
  • Use data mining for predictive analysis

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QuickStart
1101 S Capital of Texas Hwy - Building J, Suite 202
78746 Austin Texas

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