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SQL Server Analysis Services

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Duration: 3 Days

Method: Instructor led, Hands-on workshops

Price: $1625.00

Course Code: SS2200


Audience

This course is intended for developers wish to use Microsoft SQL Server Analysis Services (SSAS) to design and implement OnLine Analytical Processing (OLAP) cubes and data mining models to support Business Intelligence (BI) solutions.

Description

In this course, you will learn how to use Microsoft SQL Server Analysis Services (SSAS) to design and implement OnLine Analytical Processing (OLAP) cubes and data mining models to support Business Intelligence (BI) solutions. This course includes concepts, procedures and practices based on real-world experience giving both the novice and experienced SQL Server developer the tools to build data cubes and forecasting solutions. This course also provides information on end-user tools including Microsoft Excel, Office Visio Professional Edition, SQL Server Business Intelligence Development Studio (BIDS) Microsoft SQL Server Integrated Services and Reporting Services.

Objectives

Upon successful completion of this course, the student will be able to:

  • Learn to define what Business Intelligence is and how it applies to a database
  • Understand how the cube structure works for viewing data information
  • View cubes using Excel and SQL Reporting Services
  • See how to create cube models using SQL Server Business Intelligence Development Studio (BIDS)
  • Create Data Source, Data Source Views and then create cubes with the Cube Wizard
  • Learn how to create key performance indicators (KPIs)
  • Work with changing and advanced dimension types
  • Use relational and SSAS partitions
  • Understand how to use MDX syntax for queries, functions and tasks
  • Learn data mining concepts and mining structure processing.
  • Implement security, XMLA scripts, backups and restores for SSAS

Prerequisites

This course does not require any prior experience with Analysis Server. It is assumed that students have working experience with SQL Server; basic relational database concepts (e.g., tables, queries, and indexing); data transformation services; Excel; and SharePoint Server.

Topics

  • I. What Is Microsoft Business Intelligence?
    • Define Business Intelligence
    • Understand the Cube Structure
    • Deploy and View a Sample Cube
    • View a Cube by using Excel
    • View a Cube by using SQL Reporting Services
  • II. OLAP Modeling
    • Understand Basic OLAP Modeling (star schema)
    • Understand Dimensional Modeling
    • (stars and snowflakes)
    • Understand Measure (fact) and Cube Modeling
    • Model with SQL Server Business Intelligence Development Studio (BIDS)
  • III. Using SSAS in BIDS
    • Understand the Development Environment
    • Create Data Sources
    • Create Data Source Views
    • Create Cubes by using the Cube Wizard
  • IV. Intermediate SSAS
    • Learn how to Create Key Performance Indicators (KPIs)
    • Discover how to Create Perspectives
    • See how to Create Translations for Cubes and Dimensions
    • Review the three SSAS Action Object Types: Regular, Drillthrough, and Reporting
  • V. Advanced SSAS
    • Work with Multiple Fact Tables and the Dimension
    • Usage Subtab in BIDS
    • Explore Advanced Dimension Types
    • Learn how to use the Business Intelligence Wizard
    • Understand Writeback in Dimensions
    • Review Semi-Additive Measures in OLAP Cubes
  • VI. Cube Storage and Aggregation
    • View Aggregation Designs
    • Customize Aggregation Designs
    • Implement Proactive Caching
    • Use Relational and SSAS Partitions
    • Customize Cube and Dimension Processing
  • VII. Introduction to MDX Queries
    • Understand Basic MDX Syntax
    • Use the MDX Query Editor in SSMS
    • Understand Common MDX Functions and Tasks
    • Review MDX Functions New to SSAS
  • VIII. MDX Expressions
    • Understand the Calculation Subtab
    • Learn how to add Calculated Members
    • Explore how to add MDX Script Commands
    • Discover how to add .NET Assemblies
  • IX. Introduction to Data Mining
    • Understand Data Mining Concepts
    • Review the Algorithms that SSAS Includes
    • Consider Data Mining Clients
    • Understand Mining Structure Processing
  • X. SSAS Administration
    • Implement SSAS Security
    • Implement XMLA Scripts in SSMS
    • Deploy and Synchronize Databases
    • Understand SSAS Database Backup and Restore
  • XI. Advanced Administration and Optimization
    • Implement SSIS to Manage SSAS Databases
    • Explore Clustering
    • Explore Scalability Options
    • Understand Performance Tuning and Optimization
  • XII. Introduction to SSAS Clients
    • Design Reports using Reporting Services
    • Design Reports by using Report Builder
    • Implement Excel Pivot Tables and Charts
    • Use Excel as a Data Mining Client
    • Review Microsoft Office SharePoint Server