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Designing Scalable  Data Warehouse  with  MySQL Venu Anuganti Apr 2011, Oreilly MySQL Conference http://venublog.com/
Who am I  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
Data Is The Business ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Drives Business ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Solution Providers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
MySQL In Every Company ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
What Is Data Warehousing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Buzz words ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Typical Architecture
Data Model – Star Schema
Data Model – Snowflake
Data Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Source ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Typical MySQL Setup ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
MySQL Configuration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Scale-out
Common Use Cases – MySQL way ,[object Object],[object Object],[object Object],[object Object],[object Object]
Limitations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cache ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Other Analytic Stores ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Real-time Analytics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Questions ? ,[object Object],[object Object],[object Object]

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Designing Scalable Data Warehouse Using MySQL

Notas del editor

  1. MySQL Employee 2000-2004 Database Companies MySQL SOLID ANTs Data Server ScaleDB Part of Yahoo’s cloud initiates like Sherpa and Mobstor and a platform MySQL Geek Still contribute randomly to MySQL source
  2. Ask How many people use MySQL and how many does not use MySQL
  3. OLAP - On-Line Analytical Processing MOLAP – Multi dimensional cubes (not applicable in relational schema) ROLAP - Relational OLAP (aggregation, MySQL ROLLUP) HOLAP – (Combination of both)
  4. DCA Data Computing Appliance Talk about analytics and how crucial they are now