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Reference Architecture for Hadoop in Banking - Industry Perspective



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Reference Architecture for Hadoop in Banking - Industry Perspective « Webinars « Downloads

Webinar dateDecember 15, 2011


UBS has been an early adopter of Hadoop and continues to test a number of data processing & analytics use cases. In this webcast, Executive Director at UBS, Dave Casper will discuss how Hadoop fits the overall Data & Architecture strategy at UBS. Joining Dave in this discussion is Abhishek Mehta, (Founder, Tresata) and Arun Murthy (Hortonworks) who will outline a template to design, build and implement a Hadoop powered Data Processing & Analytics Platform within the confines of an Enterprise Data Stack. Get expert advice on how financial organizations can introduce Hadoop into a traditional Banking data environment while symbiotically integrating with existing tools and technologies. You'll learn:
  • How to integrate Hadoop within enterprise data stack
  • What to build vs buy
  • What problems to use Hadoop for and what not to
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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Hortonworks Sandbox is a self-contained virtual machine with Apache Hadoop pre-configured alongside a set of hands-on, step-by-step Hadoop tutorials.
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.

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