INTRODUZIONE

The focus of this 3-day instructor-led 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. This course helps you prepare for the Exam 70-768.

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

OBIETTIVI

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

PREREQUISITI

Before attending this course, students must have experience of querying data using Transact-SQL

STRUTTURA DEL CORSO

MODULE 1: Introduction to Business Intelligence and Data Modeling

This module introduces key BI concepts and the Microsoft BI product suite.

Lessons

After completing this module, students will be able to:

•  Describe BI scenarios, trends, and project roles.
• Describe the products that make up the Microsoft BI platform
• Explore a Data Warehouse
• Explore a data model

 Lab : Exploring a BI Solution

MODULE 2: Creating Multidimensional Databases

This module describes how to create multidimensional databases using SQL Server Analysis Services.

Lessons

After completing this module, you will be able to:

• Describe considerations for a Multidimensional Database.
• Create Data Sources and Data Source views.
• Create and Configure a Cube
• Add a Dimension to a Cube
• Overview of Cube Security
• Implement security in a multidimensional database.
• Configure SSAS to meet requirements including memory limits, NUMA and disk layout.
• Monitor SSAS performance.

 Lab : Creating a multidimensional database

MODULE 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

Lessons

After completing this module, you will be able to:

•  Configure Dimensions.
• Define Relationships and Attribute Hierarchies.
• Implement Sorting and Grouping for Attributes.
• Implement Slowly Changing Dimensions

 Lab : Working with Cubes and Dimensions

MODULE 4: Working with Measures and Measure Groups

This module describes how to implement measures and measure groups in a cube.

Lessons

After completing this module, you will be able to:

•  Configure measures
• Define Regular Relationships
• Configure measure groups

 Lab : Configuring Measures and Measure Groups

MODULE 5: Introduction to MDX

This module describes the MDX syntax and how to use MDX.

Lessons

• After completing this module, you will be able to:
• Use basic MDX functions
• Use MDX to add calculations to a cube
• Use MDX to query a cube
• Adding a Calculated Member

 Lab : Using MDX

MODULE 6: Customizing Cube Functionality

This module describes how to customize a cube.

Lessons

After completing this module, you will be able to:

•  Implement Key Performance Indicators  (KPIs) in a Multidimensional database
• Implement Actions in a Multidimensional database
• Implement perspectives in a Multidimensional database
• Implement translations in a Multidimensional database

 Lab : Customizing a Cube

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

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

Lessons

After completing this module, students will be able to:

• Describe Tabular Data Models
• Create a Tabular Data Models
• Configure Relationships and Attributes
• Use an Analysis Services Tabular Model in an Enterprise BI Solution

 Lab : Working with an Analysis Services Tabular Data Model

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

After completing this module, students will be able to:

•  Describe the key features of DAX
• Create calculated columns using DAX
• Creating Measures using DAX
• Creating a KPI
• Creating a Parent – Child Hierarchy

 Lab : Creating Calculated Columns and Measures by using DAX

MODULE 9: Performing Predictive Analysis with Data Mining

This module describes how to use data mining for predictive analysis.

Lessons

After completing this module, students will be able to:

•  Describe considerations for Data Mining
• Create a Data Mining model
• Explore Data Mining Models
• Validate a Data Mining model
• Connect and consume to a Data Mining model
• Use the Data Mining add-in for Excel

 Lab : Using Data Mining