This course also discusses how to use the Analysis Services development tools to create both multidimensional and tabular projects, and follows with explanations on how to use the management and administrative tools to manage both Analysis Services solutions.

Skills gained

Understand common Analysis Services solutions.

Understand version changes of SSAS from 2008-2014.

Understand Analysis Services installation and architecture.

Understand how to choose the right model.

Understand the Analysis Services tools available.

Understand the multidimensional model.

Utilize data sources and data source views.

Create a cube.

Understand and utilize dimensions.

Understand and utilize attributes.

Understand and utilize relationships.

Understand and utilize hierarchies.

Understand and utilize measures and measure groups.

Understand and utilize calculated members.

Understand and utilize perspectives.

Understand and utilize translations.

Browse perspectives and translations.

Understand and utilize deployment options.

Understand and utilize processing strategies.

Understand and utilize security.

Deploy a multidimensional model.

Understand the tabular model.

Create a tabular project.

Analyze the data using Microsoft Excel.

Create and configure calculated measures and calculated fields.

 

Backup and Restore.

Audience 

 

This course is intended for SQL professionals, Microsoft Analysis Services cube and report developers, and business intelligence professionals.

Prerequisites

None

Duration

Two Days

Outline for Quick Microsoft SQL Server 2012 Analysis Services Training

Module 1: Course Overview

This module explains how the class will be structured and introduces course materials and additional administrative information.

 

Lessons

Introduction

Course Materials

Facilities

Prerequisites

What We'll Be Discussing

Lab : Course Overview

After completing this module, students will be able to:

 

Successfully log into their virtual machine.

Have a full understanding of what the course intends to cover.

Module 2: Introduction to Microsoft SQL Server Analysis Services

Analysis Services is an online analytical processing (OLAP) database, a type of database that is highly optimized for the kinds of queries and calculations that are common in a business intelligence environment. In this module we aim to get you familiar with the recent changes, explore the architecture options, and explain the tools available.

 

Lessons

Common Analysis Services Solutions

Version Changes of SSAS from 2008-2014

Analysis Services Installation and Architecture: One Product, Two Models

Choosing the Right Model

Analysis Services Tools

Lab : Introduction to Microsoft SQL Server Analysis Services

After completing this module, students will be able to:

 

Understand common Analysis Services solutions.

Understand version changes of SSAS from 2008-2014.

Understand Analysis Services installation and architecture.

Understand how to choose the right model.

Understand the Analysis Services tools available.

Module 3: The Multidimensional Solution

In the multidimensional model, data is modeled as a series of cubes and dimensions. In this module we will explore how to create and configure a cube. Dimensions will be discussed in a later module.

 

Lessons

Understanding the Multidimensional Model

Utilizing Data Sources and Data Source Views

Creating a Cube

Lab : The Multidimensional Solution

After completing this module, students will be able to:

 

Understand the multidimensional model.

Utilize data sources and data source views.

Create a cube.

Module 4: Dissecting with Dimensions

Dimensions are the categories by which you slice your data to view specific quantities of interest. In this module we will explore dimensions and how they are used in conjunction with attributes, relationships, and hierarchies.

 

Lessons

Developing Dimensions

Utilizing Attributes

Relating with Relationships

Handling Hierarchies

Lab : Dissecting with Dimensions

After completing this module, students will be able to:

 

Understand and utilize dimensions.

Understand and utilize attributes.

Understand and utilize relationships.

Understand and utilize hierarchies.

Module 5: Managing Measures

Each cube is made up of one or more measure groups, and each measure group in a cube contains one or more measures. In this module we will explore all there is to know about measures and measure groups, and we’ll also cover calculated members.

 

Lessons

Measures and Measure Groups

Calculated Members

Lab : Managing Measures

After completing this module, students will be able to:

 

Understand and utilize measures and measure groups.

Understand and utilize calculated members.

Module 6: Configuring Cube Options

Perspectives have the ability to hide certain parts of a complex model, which can help usability, and security roles can be used to deny access to specific rows of data from tables to specific users. Translations allow the metadata of a multidimensional model to appear in different languages for users with different locales on their desktops. In this module we will cover both configurations and the options available.

 

Lessons

Understanding Perspectives

Utilizing Translations

Browsing Perspectives and Translations

Lab : Configuring Cube Options

After completing this module, students will be able to:

 

Understand and utilize perspectives.

Understand and utilize translations.

Browse perspectives and translations.

Module 7: Deploying

Deploying an Analysis Services project creates the defined objects in an instance of Analysis Services. In this module we will explore deployment options, processing strategies, and security.

 

Lessons

Examining Deployment Options

Processing Strategies

Exploring Security

Lab : Deploying

After completing this module, students will be able to:

 

Understand and utilize deployment options.

Understand and utilize processing strategies.

Understand and utilize security.

Deploy a multidimensional model.

Module 8: The Tabular Solution

Tabular models are in-memory databases in Analysis Services. In this module we will explore the tabular model, create a tabular project, deploy and query the solution using Data Analytic Expressions (DAX).

 

Lessons

Understanding the Tabular Model

Creating a Tabular Project

Deploying

Browsing the Model

Querying the Solution and Understanding DAX

Maintaining and Optimizing

Lab : The Tabular Solution

After completing this module, students will be able to:

 

Understand the tabular model.

Create a tabular project.

Analyze the data using Microsoft Excel.

Create and configure calculated measures and calculated fields.

Backup and Restore.