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Hadoop & the Enterprise Data Warehouse: When to Use Which

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Hadoop & the Enterprise Data Warehouse: When to Use Which « Webinars « Downloads

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Webinar dateApril 30, 2013
CategoriesWebinars

Description

For this webinar, two of the most trusted experts in their fields to examine how big data technologies are being used today by practical big data practitioners. Eric Baldeschwieler (aka E14, @eric14), CTO and Founder of Hortonworks, and Hadoop luminary will provide perspective on the role of Massively Parallel Processing (MPP) Relational Databases in the modern data platform architecture. Stephen Brobst, CTO of Teradata, and leading expert in parallel computing architectures will share insights on how large enterprises can effectively complement their existing data warehouses with Hadoop to drive optimal value. What you will learn in the webinar:
  • How to determine when to use Hadoop, and when to use an MPP Relational Database
  • Real world customer cases on big data applications from the Silicon Valley
  • What to expect from Hadoop in the future, and what not to expect
Modern Data Architecture
Tackle the challenges of big data. Hadoop integrates with existing EDW, RDBMS and MPP systems to deliver lower cost, higher capacity infrastructure.
Integrate with existing systems
Hortonworks maintains and works with an extensive partner ecosystem from broad enterprise platform vendors to specialized solutions and systems integrators.
Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.

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