5 Requirements for a Big Data Integration Platform

Two articles caught my attention today – and not surprisingly both had to do with Big Data and Cloud Computing.

Microsoft’s, Google’s big data plans give IT an edge – an interesting take on Google vs. Microsoft with good details on both. Note the recent stat from Gartner in the intro: “By 2015, companies that have adopted big data and extreme information management will begin to outperform unprepared competitors by 20% in every available financial metric.”

Sounds like Information Management has gone Extreme. Very exciting!

The other article comes from Loraine Lawson, who recently interviewed the always quotable James Markarian from Informatica: Big Data Platform Should Support Data Exploration. He outlines five key requirememts for a Big Data Integration Platform:

  1. Integration from a variety (there’s that word again!) of sources, from mainframes to messaging systems.
  2. Data quality and data governance.
  3. Text analytics and sentiment analysis.
  4. Support for R.
  5. A new attitude about analysis and design schemas.
You can read the entire interview here.

Here’s another interview with James, if you want more on the Big Data Integration topic:

3 Responses to “5 Requirements for a Big Data Integration Platform”

  1. 1 Hollis Tibbetts 2011/08/23 at 9:30 am

    New primary research from Gatepoint Research released today shows big upheaval in the application, data, SaaS and Cloud integration space. Criticial analysis on ebizQ at http://www.ebizq.net/blogs/integrationedge/2011/08/application-integration-upheaval.php

  1. 1 Sandhill.com Interview: Talking Big Data and Cloud Computing « In(tegrate) the Clouds Trackback on 2011/08/17 at 1:46 pm
  2. 2 #DF11 Video: Orchestrating Your Data: A Business Guide to Integration and Analytics « In(tegrate) the Clouds Trackback on 2011/09/20 at 1:03 pm

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