Developing SQL Data Models

Session Detail:    Classroom, Virtual 3 Day

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.

Prerequisites

Before attending this course, students must have:

  • Experience of querying data using Transact-SQL

Who Can Benefit

The primary audience for this course is 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

Session Outline

Class Outline

Module 1: Introduction to Business Intelligence and Data Modeling

  • Lesson 1: Introduction to Business Intelligence
  • Lesson 2: The Microsoft business intelligence platform

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

Module 2: Creating Multidimensional Databases

  • Lesson 1: Introduction to Multidimensional Analysis
  • Lesson 2: Data Sources and Data Source Views
  • Lesson 3: Cubes
  • Lesson 4: Overview of Cube Security
  • Lesson 5: Configure SSAS
  • Lesson 6: Monitoring SSAS

After completing this module, you will be able to:

  • Describe considerations for a multidimensional database
  • Create data sources and data source views
  • Create a cube
  • Implement security in a multidimensional database
  • Configure SSAS to meet requirements including memory limits, NUMA, and disk layout
  • Monitor SSAS performance

Module 3: Working with Cubes and Dimensions

  • Lesson 1: Configuring Dimensions
  • Lesson 2: Defining Attribute Hierarchies
  • Lesson 3: Implementing Sorting and Grouping Attributes
  • Lesson 4: Slowly Changing Dimensions

After completing this module, you will be able to:

  • Configure dimensions
  • Define attribute hierarchies
  • Implement sorting and grouping for attributes
  • Implement slowly changing dimensions

Module 4: Working with Measures and Measure Groups

 

  • Lesson 1: Working with Measures
  • Lesson 2: Working with Measure Groups

After completing this module, you will be able to:

  • Configure measures
  • Configure measure groups

 

Module 5: Introduction to MDX

  • Lesson 1: MDX fundamentals
  • Lesson 2: Adding Calculations to a Cube
  • Lesson 3: Using MDX to Query a Cube

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

Module 6: Customizing Cube Functionality

  • Lesson 1: Implementing Key Performance Indicators
  • Lesson 2: Implementing Actions
  • Lesson 3: Implementing Perspectives
  • Lesson 4: Implementing Translations

After completing this module, you will be able to:

  • Implement KPIs in a Multidimensional database
  • Implement Actions in a Multidimensional database
  • Implement perspectives in a Multidimensional database
  • Implement translations in a Multidimensional database

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

  • Lesson 1: Introduction to Tabular Data Models
  • Lesson 2: Creating a Tabular Data Model
  • Lesson 3: Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

After completing this module, students will be able to:

  • Describe tabular data models
  • Describe how to create a tabular data model
  • Use an Analysis Services Tabular Model in an enterprise BI solution

Module 8: Introduction to Data Analysis Expression (DAX)

  • Lesson 1: DAX Fundamentals
  • Lesson 2: Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

After completing this module, students will be able to:

  • Describe the key features of DAX
  • Create calculated columns and measures by using DAX

Module 9: Performing Predictive Analysis with Data Mining

  • Lesson 1: Overview of Data Mining
  • Lesson 2: Creating a Custom Data Mining Solution
  • Lesson 3: Validating a Data Mining Model
  • Lesson 4: Connecting to and Consuming a Data-Mining Model
  • Lesson 5: Using the Data Mining add-in for Excel

After completing this module, students will be able to:

  • Describe considerations for data mining
  • Create a data mining model
  • Validate a data mining model
  • Connect to a data-mining model
  • Use the data mining add-in for Excel

Need to train your team?

All of our sessions can be customized to meet your team’s specific need. Build the perfect program by picking and choosing topics from any of the courses in our catalog. A personalized private session gives you the ultimate flexibility and helps maximize your team’s valuable time!

Requesting Team Training
DateTimeTypePriceAdd To Cart

Developing SQL Data Models

3 Day
Classroom, Virtual

$2,295.00

Chat with a Coach

Chat with a Coach

Have a more immediate need? Why spend the next hour searching online for answers when you can spend just 15 minutes with one of our experts and get accurate and personalized answers to all of your questions. 

$9.99 | 15 Minutes

Book Now