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The Enterprise Mainframe and Big Data

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So what is next for the mainframe? Ok, maybe you haven’t asked yourself that in awhile or perhaps you didn’t think it was necessary, but according to Ken Hess of ZDNet big data may be in its future.

Mr. Hess examines a survey of IT pros. He writes, “Based on the survey results, the mainframe may be the key to closing the big data processing gap and supporting the latest data delivery technologies. Over 89 percent of respondents indicated that mainframe’s key benefit in the next year is its Big Data processing horsepower through CICS, DB2 and WebSphere, and more than a third see it as an opportunity to provide data to big data platforms such as IDAA, Netezza, Splunk, Spark, Oracle, Teradata and Hadoop.”  Key findings from the survey include:

  • 69% of respondents ranked the use of the mainframe for large-scale transactions as “very important”
  • 79% still analyze real-time transactional data from the mainframe with a tool that is also on the mainframe, but survey respondents are also using outside tools such as Hadoop (8.6%)

The survey also asked about the strengths of using a mainframe for analysis:

  • 67% pointed out that a key strength of the mainframe is its ability to integrate with other platforms
  • 82% felt the mainframe provides good security
  • 83% of respondents also cited availability as a key strength

Mr. Hess further points out that companies like IBM are also launching systems that help mainframes connect and utilize outside big data analysis tools like Hadoop.

So when you think big data, do you also think about your mainframe?  This article further underlines the importance of a thorough evaluation of your company’s unique resources and systems against outside options in order to develope a big data solution that will meet your needs.