Microsoft SQL Server 2008 Analysis & Integration Services (SSAS & SSIS) - (Business Intelligence, BI, Data Warehouse, Mining)

Course Overview

This course has been written to cover all the fundamentals of designing and building data warehouses and cubes using SQL Server 2008 Analysis Services (SSAS), and building high performance data integration solutions with SQL Server Integration Services, including extraction, transformation, and load (ETL) packages for data warehousing.

Our course demonstrates how to build star schemas in SQL Server and cubes in Analysis Services. In addition, it shows how to use Integration Services to migrate and transform data. This is applied to populating and updating OLAP star schemas and cubes from traditional normalised databases.

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Related Courses

• Microsoft SQL Server 2008: Business Intelligence End to End with SQL Server 2008 R2 and SharePoint 2010
• Microsoft SQL Server 2008: Audit & Security Course
• Microsoft SQL Server 2008: Implementing and Maintaining a Microsoft SQL Server 2008 Database
• Microsoft SQL Server 2008: Integration Services
• Microsoft SQL Server 2008 New Features: Hands-On
• Microsoft SQL Server 2008 Comprehensive Introduction: Hands-On
• Microsoft SQL Server 2008: Database Administration
• Microsoft SQL Server 2008: New Features for SQL Server 2005 Administrators and Developers
• Microsoft SQL Server 2008: Administration
• Microsoft SQL Server 2008: Integration Services

Audience

Anyone interested in getting raw data to the end user as information that has integrity, is retrieved quickly and requires little or no programming.

Skills Gained

By the end of this course the delegates will gain:

1. A thorough understanding of the need for data warehouses and OLAP.
2. A practical understanding of how to build star schemas and cubes in Analysis Services.
3. Practical skills in the use of Integration Services to transform data into star schemas and cubes.
4. Introduction to Reporting Services to display cubes.

Prerequisites

None (although a basic understanding of databases and SQL would be useful).

Course Outline

Introduction - SSAS

• Database Design
• Review of third normal form and traditional OLTP databases
• Introduction to designing OLAP star and snowflake schemas
• Introduction to designing cubes

Analysis Services (using Business Intelligence Development Studio - BIDS)

• Building fact tables
• Building dimensions
• Building cubes

Pivot Tables and Matrices

• Browsing cubes in BIDS and Management Studio (SSMS)
• Browsing cubes in Excel
• Browsing cubes in Web Pages
• Cubes in Reporting Services (SSRS)

Maintaining data warehouses

• Backup and restoring star schemas
• Backup and restoring of cubes
• Cube security
• Updating cubes

Advanced Analysis Services

• Data mining
• Deployment
• Perspectives
• Actions
• Write-back

 

Microsoft SQL Server 2008 Analysis & Integration Services (SSAS & SSIS) - (Business Intelligence, BI, Data Warehouse, Mining) / SQL0200

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