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20768EX: Developing SQL Server 2016 Data Models in SSAS (plus one day)

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20768EX: Developing SQL Server 2016 Data Models in SSAS (plus one day)

$2,595.00

  • 4 Days
  • Interface Exclusive Course - Includes One Extra Day of Course Content
  • Replay™ Class Recordings Included
  • Microsoft SA Voucher Eligible
Interface Gold™This is an Interface Gold™ class date delivered live at our Phoenix location. Online attendees will have access to our RemoteLive™ platform. Replay™ class recordings are included.
RemoteLive™
Online Virtual
Attend in Person Phoenix Location
Jun 5 - Jun 8
8AM - 4PM (PHX)
REPLAYThis class date includes Interface Replay™ class recordings, available for online viewing 1 hour after each class day ends.
Attend Live Online/Virtual
Attend in Person Phoenix Location

Do you need a class sooner? We can also offer additional dates through our partners! It's not Interface Gold™ but it's a great choice if your schedule is not flexible.

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Course Description

This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS), and at creating tabular semantic data models for analysis with SSAS.  The focus of this Interface-enhanced course is to provide the student with the skills they need to successfully design, implement, deploy, and tune a SQL Server Analysis Service database.

This Interface exclusive course features an addition training day to allow students to go deeper into deployment and management of SSAS databases.

Interface Technical Training 20768EX campaired to the standard Microsoft MOC20768 course

Course Outline

Module 1: Introduction to Business Intelligence and Data Modeling

This module 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 module, you will be able to:

  • Describe the concept of business intelligence
  • Describe the Microsoft business intelligence platform

 

Module 2: Creating Multidimensional Databases

This module describes the steps required to create a multidimensional database with analysis services.

Lessons

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

Lab: Creating a multidimensional database

After completing this module, you will be able to:

  • Use multidimensional analysis
  • Create data sources and data source views
  • Create a cube
  • Describe cube security

 

Module 3: Working with Cubes and Dimensions

This module 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 module, you will be able to:

  • Configure dimensions
  • Define attribute hierarchies.
  • Sort and group attributes

 

Module 4: Working with Measures and Measure Groups

This module 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 module, you will be able to:

  • Work with measures
  • Work with measure groups

 

Module 4.1: Optimizing and Managing Multidimensional Databases (Additional Topic)

This module describes how to deploy and optimize multidimensional databases post deployment.

Lessons:

  • Deploying an SSAS database
    • Overview of deployment options
    • Practice deploying a sample database
  • Processing the Database Post Deployment
    • Using SSIS Process tasks
    • Deploying SSIS projects
    • Scheduling SSIS packages
  • Optimizing a Multidimensional Database
    • Configuring the SSAS instance for Usage Based Optimization
    • Performing Usage Based Optimization
  • Instructor Led Practice

After completing this module, you will be able to:

  • Deploy a multidimensional database
  • Use SSIS packages to manage SSAS databases
  • Perform usage based optimization of Aggregations

 

Module 5: Introduction to MDX

This module 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 module, you will be able to:

  • Describe the fundamentals of MDX
  • Add calculations to a cube
  • Query a cube using MDX

 

Module 5.1: Intermediate MDX (Additional Topic)

This module describes in detail the underlying terminology and functionality of MDX allowing students to better write MDX queries and expressions.

Lessons:

  • Understanding Members, Tuples, Sets and how they work
  • Working with Hierarchies and member “family” functions
  • Working with Common MDX Functions
  • Creating Named Sets and Custom Calculations
  • Instructor Led Hands On Practices with MD Queries and Expressions

After completing this module, you will be able to:

  • Describe when to use members, tuples, and sets
  • Write more complex MDX queries and expressions
  • Create named sets and calculated members

 

Module 6: Customizing Cube Functionality

This module describes how to customize a cube.

Lessons

  • Implementing key performance indicators
  • Implementing actions
  • Implementing perspectives
  • Implementing translations

Lab: Customizing a Cube

After completing this module, you will be able to:

  • Implement key performance indicators
  • Implement actions
  • Implement perspectives
  • Implement translations

 

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

This module describes how to implement a tabular data model in PowerPivot.

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 module, 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

 

Module 8: Introduction to Data Analysis Expression (DAX)

This module 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
  • Going deeper into DAX
  • Creating KPIs

Lab: Creating Calculated Columns and Measures by using DAX

After completing this module, you will be able to:

  • Describe the fundamentals of DAX
  • Use DAX to create calculated columns and measures in a tabular data model
  • Create KPIs in tabular data models

 

Module 9: Connecting to SSAS databases (Additional Topic)

This module describes how to use various tools to connect to SSAS multidimensional and Tabular databases.

Audience

The primary audience for this course are 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
  • The secondary audiences for this course are ‘power’ information workers/data analysts.

Prerequisites

This course requires that you meet the following 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

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
  • Deploy a multidimensional database
  • Use SSIS packages to manage SSAS databases
  • Perform usage based optimization of Aggregations
  • Use basic MDX syntax
  • Write more complex MDX queries and expressions
  • Enhance the cube by creating named sets and calculated members
  • Customize a cube
  • Implement a tabular database
  • Use DAX to query a tabular models
  • Use Excel to access a cube
  • Use Power BI desktop to access a Tabular model
  • Create a basic parameterized report from a multidimensional cube
  • Customize MDX datasets
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