Developing SQL Data Models

Empower your career as a Business Intelligence Developer by mastering SQL Server Analysis Services to create robust multidimensional databases and tabular data models.

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Essential Skills Gained

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Describe the components, architecture, and nature of a BI solution.

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Create multidimensional and tabular databases using Analysis Services.

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Implement dimensions, measures, and security within a cube.

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Utilize MDX and DAX for querying and enhancing data models.

Format

  • Instructor-led
  • 3 days with lectures and hands-on labs.

Audience

  • Database professionals
  • BI Developers
  • Data analysts
  • Power information workers

Description

This three-day instructor-led course is aimed at database professionals who fulfil a Business Intelligence (BI) developer role. 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.

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Upcoming Course Dates

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Course Outline

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Module 1: Introduction to Business Intelligence and Data Modeling

  1. Introduction to Business Intelligence

  2. The Microsoft business intelligence platform

Module 2: Creating Multidimensional Databases

  1. Introduction to multidimensional analysis

  2. Creating data sources and data source views

  3. Creating a cube

  4. Overview of cube security

Module 3: Working with Cubes and Dimensions

  1. Configuring dimensions

  2. Define attribute hierarchies

  3. Sorting and grouping attributes

Module 4: Working with Measures and Measure Groups

  1. Working with measures

  2. Working with measure groups

Module 5: Introduction to MDX

  1. MDX fundamentals

  2. Adding calculations to a cube

  3. Using MDX to query a cube

Module 6: Customizing Cube Functionality

  1. Implementing key performance indicators

  2. Implementing actions

  3. Implementing perspectives

  4. Implementing translations

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

  1. Introduction to tabular data models

  2. Creating a tabular data model

  3. Using an analysis services tabular model in an enterprise BI solution

Module 8: Introduction to Data Analysis Expression (DAX)

  1. DAX fundamentals

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

Module 9: Performing Predictive Analysis with Data Mining

  1. Overview of data mining

  2. Using the data mining add-in for Excel

  3. Creating a custom data mining solution

  4. Validating a data mining model

  5. Connecting to and consuming a data mining model

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