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Davide Mauri

A place for my thoughts and experiences the Microsoft Data Platform

“BI From A To Z” Workshop's Detailed Agenda

160 Slides and more than 15 demos will fill the day. The detailed agenda is the following.

  • The need for a Datawarehouse
    • OLTP vs DSS/OLAP
    • Inmon & Kimball
  • Basic Concepts
    • Star & Snowflake Schema
    • Fact, Dimensions & Factless/Bridge Tables
  • Designing & Building the Datawarehouse
    • Engineering the solution
    • Slowly Changing Dimensions
  • Loading the Datawarehouse
    • Integration Services & T-SQL
  • Data Analysis
    • Creating Analysis Services Cubes
    • Introduction to MDX
  • Reporting
    • Using Reporting Services in BI
  • Managing the solution
    • Deployment & Monitoring
  • Conclusion
  • Next Steps
Published Wednesday, September 29, 2010 7:42 PM by Davide Mauri

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About Davide Mauri

Director of Software Development & Cloud Infrastructure @ Sensoria, an innovative smart garments and wearable company. After more than 15 year playing with the Microsoft Data Platform, with a specific focus on High Performance databases, Business Intelligence, Data Science and Data Architectures, he's now applying all his skills to IoT, defining architectures to crunch numbers, create nice user experiences and provide meaningful insights, all leveraging Microsoft Azure cloud. MVP on Data Platform since 2006 he has a very strong background development and love both the ER model and OO principles. He is also a fan of Agile Methodology and Automation, which he tries to apply everywhere he can, to make sure that "people think, machines do".

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