MS20466_AS

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Implementing Microsoft SQL Server Analysis Services - Optimized

This course has been replaced by
MS20768 Developing SQL Data Models

Audience

This course is intended for database professionals who need to fulfill a Business Intelligence Developer role to create analysis solutions. This course is totally focused on Analysis Services!!

  • Implementing analytical data models, such as OLAP cubes.
  • Supporting data mining and predictive analysis.

Prior knowledge

  • At least 2 years’ experience of working with relational databases, including:
  • Designing a normalized database.
  • Creating tables and relationships.
  • Querying with Transact-SQL.
  • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • Some exposure to basic programming constructs (such as looping and branching).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.

Recommended courses before this one;

Language

The course is taught in Swedish (Contact us if you prefer English).

Courseware

Microsoft dMOC

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 Data Model in SQL Server Analysis Services.
  • Use DAX to enhance a tabular model.
  • Implement a dashboard in SharePoint Server with PerformancePoint Services.
  • Use Data Mining for Predictive Analysis.
  • Select an appropriate hardware platform for a data warehouse.
  • Design and implement a data warehouse.

Course outline:

Module 1(20466): Introduction to Business Intelligence and Data Modeling

As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution. Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution.

  • Elements of an Enterprise BI Solution
  • The Microsoft Enterprise BI Platform
  • Planning an Enterprise BI Project

Module 2(20463): Planning Data Warehouse Infrastructure

This module discusses considerations for selecting hardware and... Läs mer

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 Data Model in SQL Server Analysis Services.
  • Use DAX to enhance a tabular model.
  • Implement a dashboard in SharePoint Server with PerformancePoint Services.
  • Use Data Mining for Predictive Analysis.
  • Select an appropriate hardware platform for a data warehouse.
  • Design and implement a data warehouse.

Course outline:

Module 1(20466): Introduction to Business Intelligence and Data Modeling

As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution. Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution.

  • Elements of an Enterprise BI Solution
  • The Microsoft Enterprise BI Platform
  • Planning an Enterprise BI Project

Module 2(20463): Planning Data Warehouse Infrastructure

This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.

  • Considerations for Data Warehouse Infrastructure
  • Planning Data Warehouse Hardware

Module 3(20463): Designing and Implementing a Data Warehouse

This module describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.

  • Data Warehouse Design Overview
  • Designing Dimension Tables
  • Designing Fact Tables
  • Physical Design for a Data Warehouse

Module 2(20466): Creating Multidimensional Databases

This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.

  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security

Module 3(20466): Working with Cubes and Dimensions

This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Hierarchies

Module 4(20466): Working with Measures and Measure Groups

This module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.

  • Working with Measures
  • Working with Measure Groups

Module 5(20466): Introduction to MDX

This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.

  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube

Module 6(20466): Enhancing a Cube

This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.

  • Working with Key Performance Indicators
  • Working with Actions
  • Working with Perspectives
  • Working with Translations

Module 7(20466): Implementing an Analysis Services Tabular Data Model

This module describes Analysis Services tabular data models and explains how to develop a tabular data model using the SQL Server Data Tools for Business Intelligence (BI) add-in for Visual Studio.

  • Introduction to Analysis Services Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in the Enterprise

Module 8(20466): Introduction to DAX

This module explains the fundamentals of the DAX language. It also explains how you can use DAX to create calculated columns and measures, and how you can use them in your tabular data models.

  • DAX Fundamentals
  • Enhancing a Tabular Data Model with DAX

Module 12(20466): Delivering BI with SharePoint PerformancePoint Services

This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.

  • Introduction to SharePoint Server as a BI Platform
  • Introduction to PerformancePoint Services
  • PerformancePoint Data Sources and Time Intelligence
  • Reports, Scorecards, and Dashboards

Module 13(20466): Performing Predictive Analysis with Data Mining

This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.

  • Overview of Data Mining
  • Creating a Data Mining Solution
  • Validating a Data Mining Model
  • Consuming Data Mining Data

Utbildningen levereras i samarbete med

Kurs-ID: MS20466_AS
Längd: 4 dagar
Pris exkl moms: 32 950 kr
Kan betalas med:
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