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2791: Implementing and Maintaining Microsoft SQL Server 2005 Analysis Services

Niveau:
MBO+
Kosten:
€ 1.345,-   Prijsinformatie
Totale lesduur:
3 dagen
Max. deelnemers:
8
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Overzicht

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Tijdstip:
Overdag
Looptijd:
dagen
Afronding:
Certificaat
Soort locatie:
Open inschrijving
Regio('s):
Eindhoven, Utrecht, Rotterdam, Amsterdam
Prijsinformatie:
 
Het tarief is incl. studiemateriaal en lunch, excl. BTW
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Beschrijving

This three-day course teaches students how to implement an Analysis Services solution in an organization. The course discusses how to use the Analysis Services development tools to create an Analysis Services database and an OLAP cube, and how to use the Analysis Services management and administrative tools to manage an Analysis Services solution.

Doelgroep

This course is intended for information technology (IT) professionals and developers who need to implement analysis solutions by using Microsoft SQL Server 2005 Analysis Services.

Voorkennis

Before attending this course, students must have:

  • Conceptual understanding of OLAP solutions.
  • Experience navigating the Microsoft Windows Server environment.
  • Experience with Windows services (starting and stopping).
  • Experience creating service accounts and permissions.
  • Experience with Microsoft SQL Server, including: SQL Server Agent, SQL Server query language (SELECT, UPDATE, INSERT, and DELETE), SQL Server System tables, SQL Server accounts (users and permissions).

Inhoud

Module 1: Introduction to Microsoft SQL Server 2005 Analysis Services This module introduces common analysis scenarios and describes how Analysis Services provides a powerful platform for multidimensional OLAP solutions and data mining solutions. The module then describes the main considerations for installing Analysis Services.

Lessons

  • Overview of Data Analysis Solutions
  • Overview of SQL Server 2005 Analysis Services
  • Installing SQL Server 2005 Analysis Services
Module 2: Creating Multidimensional Analysis Solutions This module introduces the development tools you can use to create an Analysis Services multidimensional analysis solution, and describes how to create data sources, data source views, and cubes.

Lessons

  • Developing Analysis Services Solutions
  • Data Sources and Data Source Views
  • Creating a Cube
Module 3: Working with Dimensions This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.

Lessons

  • Configuring Dimensions
  • Defining Hierarchies
  • Sorting and Grouping Attributes
Module 4: Working with Measures and Measure Groups This module explains how to edit and configure measures and measure groups.

Lessons

  • Working with Measures
  • Working with Measure Groups
Module 5: Querying Multidimensional Analysis Solutions This module introduces multidimensional expressions (MDX) and describes how to implement calculated members and named sets in an Analysis Services cube.

Lessons

  • MDX Fundamentals
  • Adding Calculations to a Cube
Module 6: Customizing Cube Functionality This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.

Lessons

  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations
Module 7: Deploying and Securing an Analysis Services Database This module describes how to deploy an Analysis Services database to a production server, and how to implement security in an Analysis Services multidimensional solution.

Lessons

  • Deploying an Analysis Services Database
  • Securing an Analysis Services Database
Module 8: Maintaining a Multidimensional Solution This module discusses the maintenance tasks associated with an Analysis Services solution, and describes how administrators can use the Analysis Services management tools to perform them.

Lessons

  • Configuring Processing Settings
  • Logging, Monitoring, and Optimizing an Analysis Services Solution
  • Backing Up and Restoring an Analysis Services Database
Module 9: Introduction to Data Mining
This module introduces data mining, and describes how to implement data mining structures and models. It then explains how to validate data model accuracy.

Lessons

  • Overview of Data Mining
  • Creating a Data Mining Solution
  • Validating Data Mining Models

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