Designing Scalable Data Warehouse With MySQL

Venu Anuganti (ScaleIN)
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  • Introduction to Data Warehouse and its major components
  • Designing high performance OLTP system, production server
  • Designing staging server to store dimension, fact and aggregate tables
  • Design and add ETL layer to generate dimension, fact and aggregate tables
  • Loading of dimension, fact and aggregation tables to production from staging
  • Scheduling of ETL and real-time handling
  • Generating low latency reporting using cubes and MDX
  • How to scale-out the OLAP architecture
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Venu Anuganti

ScaleIN

Venu Anuganti is a ex MySQL Kernel Developer located in Sunnyvale, CA, USA. Currently working as Data Architect to design and implement high performance large scale data store solutions for both OLTP and OLAP (Date warehouse + Analytics)

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Comments

Bob Wall
04/15/2011 1:41pm PDT

Not really much about how to do DW with MySQL, other than to not do them with MySQL. The discussion of the staging servers was not very clear.

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