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LRS-SSAS - Business Intelligence (BI) Using Microsoft SQL Server 2005

If you have any questions about registering for this class, please call (877) 832-0688 Ext. 1493 or email us at getsmart@LRS.com
Presciptive Hands On course emphasizing data mining, warehousing, MultiDimensional Expressions, (MDX), queries and the Unified imensional Model, (UDM). The course also includes information on the analysis of Key Performance Indicators, (KPI), population of cubes using SQL Server Integration Services, (SSIS), and Excel Pivot Tables and Pivot Charts.
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Prerequisites

Student needs to have some experience with Visual Studio and have practical experience with Database Structures, querying techniques and know the key differences between Online Transaction processing, (OLTP) and Online Analytical Processing, (OLAP) databases.
 
Detailed Class Syllabus


PART I: Business Intelligence
  • Chapter 1: Equipping the Organization for Effective Decision Making

  • Chapter 2: Making the Most of What You've Got -- Using Business Intelligence

  • Chapter 3: Searching for the Source -- The Source of Business Intelligence

  • Chapter 4: One-Stop Shopping -- The Unified Dimensional Model

  • Chapter 5: First Steps -- Beginning the Development of Business Intelligence


  • PART II: Defining Business Intelligence Structures
  • Chapter 6: Building Foundations -- Creating and Populating Data Marts

  • Chapter 7: Fill 'er up -- Using Integration Services for Populating Data Marts


  • PART III: Analyzing Cube Content
  • Chapter 8: Cubism -- Measures and Dimensions

  • Chapter 9: Bells and Whistles -- Special Features of OLAP Cubes

  • Chapter 10: Writing a New Script -- MDX Scripting

  • Chapter 11: Pulling It Out and Building It Up -- MDX Queries


  • PART IV: Mining
  • Chapter 12: Panning for Gold -- Introduction to Data Mining

  • Chapter 13: Building the Mine -- Working with the Data Mining Model

  • Chapter 14: Spelunking -- Exploration Using Data Mining


  • PART V: Delivering
  • Chapter 15: On Report -- Delivering Business Intelligence with Reporting Services

  • Chapter 16: Let's Get Together -- Integrating OLAP with Your Applications

  • Chapter 17: Another Point of View -- Excel Pivot Tables and Pivot Charts
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