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20768: Developing SQL 2016 Data Models

Guaranteed to Run Scheduled Fully Booked
Location
Christchurch
Wellington
Nov 2020
9
9
Jan 2021
18
Mar 2021
1
Apr 2021
12
May 2021
24
Jul 2021
5
Aug 2021
16
Sep 2021
27
Nov 2021
8
OBJECTIVES
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.
PREREQUISITES
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Experience of querying data usingTransact-SQL.
  • Querying Data with Transact-SQL (20761)
  • Implementing a SQL Data Warehouse (M20767)
WHAT YOU’LL LEARN
  • 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
WHO SHOULD ATTEND
  • Data analysts and power information workers
  • Database professionals who fulfill a BI developer role and create enterprise BI solutions and whose primary responsibilities include:
    • Implementing multidimensional databases by using SSAS
    • Creating tabular semantic data models for analysis by using SSAS


COURSE OUTLINE

1. Introduction to Business Intelligence and Data Modeling

  • Introduction to Business Intelligence
  • Microsoft Business Intelligence Platform

2. Create Multidimensional Databases

  • Introduction to Multidimensional Analysis
  • Create Data Sources and Data Source Views
  • Cubes
  • Overview of Cube Security
  • Configure SSAS
  • Monitoring SSAS

3. Working Cubes and Dimensions

  • Configure Dimensions
  • Define Attribute Hierarchies
  • Implementing Sorting and Grouping Attributes
  • Slowly Changing Dimensions

4. Working with Measures and Measure Groups

  • Working with Measures
  • Working with Measure Groups

5. Introduction to Multidimensional Expressions (MDX)

  • MDX Fundamentals
  • Add Calculations to a Cube
  • Use MDX to Query a Cube

6. Customize Cube Functionality

  • Implement Key Performance Indicators
  • Implement Actions
  • ImplementPerspectives
  • Implement Translations

7. Implement a Tabular Data Model by Using Analysis Services

  • Introduction to Tabular Data Models
  • Create a Tabular Data Model
  • Use an Analysis Services Tabular Model in an Enterprise BI Solution

8. Introduction to Data Analysis Expression (DAX)

  • DAX Fundamentals
  • Using Dax to create Calculated Columns and Measures in a Tabular Data Model

9. Perform Predictive Analysis with Data Mining

  • Overview of Data Mining
  • Create a Custom Data Mining Solution
  • Validate a Data Mining Model
  • Connecting to and Consume a Data Mining Model
  • Using the Data Mining add-in for Excel

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