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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