Why Real-Time Analytics? [Free White Paper]

realtime analytics Why Real Time Analytics? [Free White Paper]

When you think Big Data, the first words that come to mind are often Hadoop and NoSQL, but what do these technologies actually mean for your business?  Different Big Data technologies have different use cases where they work best.  For your real-time Big Data challenges often a very different class of tools must be implemented.

In this free white paper, we’ll explore:

  • How to create a flexible architecture that allows you to use the best Big Data tools and technologies for the job at hand
  • Where Hadoop analysis and NoSQL databases work and where they can fall short
  • How Hadoop differs from real-time analytics and stream processing approaches
  • Visual representations of how real-time analytics works and real world use cases
  • How to leverage the Infochimps Platform to perform real-time analytics

Comments

  1. Bart Foreman May 16, 2012 at 9:46 am

    send white paper.

  2. Flavio Villanustre May 11, 2012 at 6:51 am

    Tim,

    It struck me as a good coincidence that we both wrote blog entries on real time big data analytics in the exact same day. I was discussing real time classification on the HPCC Systems platform (http://hpccsystems.com/blog/real-time-classification-hpcc-systems-platform) while you were presenting real time analytics on your own platform.

    While the diagram that you depict above matches almost verbatim the data flow on our open source real time big data warehousing and analytics platform (Roxie), there is so much more that can be done by also leveraging our open source back-end big data processing engine (Thor), to create models and train them on big volumes of historical data (using unsupervised, semi-supervised and/or supervised techniques).

    Any interest to have a discussion around potentially synergistic opportunities?

    Thanks,

    Flavio Villanustre