MPP, Hadoop, & the DW

Jan 31st,[masked]pm-6pm

Hope everyone had a good holiday season. We're ready to go again in 2013 with more meetings and practical topics for all of you Data Integration professionals.


The new Sports Data Hub offices at Galvanize: 1062 Delaware St. Denver CO 80204


  1. MINGLE - (30 min)
  2. WELCOME - Overview of meetup (5 min)
  3. INTRODUCTIONS - Meet new members (10 min)
  4. Pitch 1 (30 min) - MPP System Query Tuning Basics
  5. Video (35 min) - Extending the Enterprise Data Warehouse with Hadoop (Video)
  6. MINGLE - Drinks and Snacks at the Gather bar in the Galvanize office

MPP System Query Tuning Basics (Teradata example)

MPP (massively parallel processing) systems (such as Teradata) have been common in corporate Data Warehousing environments for many years. Some MPP concepts are also part of the foundation for many of the emerging big data solutions. Understanding the basic concepts of MPP query and processing tuning can be applied across all of these parallel data systems. This discussion includes real world experience tuning these systems for optimal processing and querying. Interactive questions and discussion are encouraged.

Extending the Enterprise Data Warehouse with Hadoop

Thought we would try something new. This video presentation is of Rob Lancaster of Orbitz at the QCon in San Francisco last month. He explains the steps made by Orbitz in order to bridge the gap between their data in the data warehouse and the data in Hadoop. It is an interesting video and I think will create a good kernel for discussion and conversation.

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