Developing SQL Data Models 2016 Training

Developing SQL Data Models 2016 Training (M20768)

Introduction:

Developing SQL Data Models 2016 Training Course Description

This three-day instructor-led Developing SQL Data Models 2016 Training course will teach you how to implement multidimensional databases and create tabular semantic data models for analysis with SQL Server Analysis Services (SSAS).

Customize It:

With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.

Audience/Target Group

Database professionals and BI Developers working with enterprise BI solutions.

Developing SQL Data Models 2016 Training (M20768)Related Courses:

Duration: days

Class Prerequisites:

Basic knowledge of the Microsoft Windows operating system and its core functionality
Working knowledge of Transact-SQL
Working knowledge of relational databases

What You Will Learn:

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

Course Content:

Module 1: Introduction to Business Intelligence and Data Modeling

Introduction to Business Intelligence
The Microsoft business intelligence platform

Module 2: Creating Multidimensional Databases

Introduction to multidimensional analysis
Creating data sources and data source views
Creating a cube
Overview of cube security

Module 3: Working with Cubes and Dimensions

Configuring dimensions
Define attribute hierarchies
Sorting and grouping attributes

Module 4: Working with Measures and Measure Groups

Module 5: Introduction to MDX

MDX fundamentals
Adding calculations to a cube
Using MDX to query a cube

Module 6: Customizing Cube Functionality

Key performance indicators
Actions
Perspectives
Translations

Module 7: Implementing a Tabular Data Model by Using Analysis Services

Introduction to tabular data models
Creating a tabular data model
Using an analysis services tabular model in an enterprise BI solution

Module 8: Introduction to Data Analysis Expression (DAX)

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

Module 9: Performing Predictive Analysis with Data Mining

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

Labs

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Time Frame: 0-3 Months4-12 Months

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