How big does Sybase’s scope for big data have to be?

    By: Mr. Adrian Bridgwater on Jun 06, 2012

    We hear a lot of talk concerning big data, but just how big is it and how much is data actually growing by? For that matter, do we all agree on exactly what big data actually is right now?

    Search Cloud Computing (dot com) defines big data (also spelled Big Data) as a general term used to describe the voluminous amount of unstructured and semi-structured data a company creates -- although Big data doesn't refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data.

    Beware the big data scaremongers

    You don’t have to read far to find reports claiming that we currently have in excess of 10 times more data than we did three years ago, but it’s important to hold fire on this kind of claim.

    Beware the big data scaremongers; we don’t have 10 times more data than we did three years ago.

    Robin Bloor uses his Inside Analysis blog to detail the following facts:

    ▪   IDC estimates a CAGR of 40% for data storage. That would suggest less than 3 times as much data as three years ago.

    ▪   Dell: Unstructured data (videos, sound, images, text) growth expected to continue at a compound annual rate exceeding 60% by some estimates. This suggests 4 times as much data as 3 years ago.

    ▪   Sepaton: Data growth continues unabated with fifty percent of respondents reporting their data was growing from twenty to seventy percent annually and an additional twenty percent reported even higher annual growth rates. Without getting too mathematical, this suggests pretty much the same as data growth rate as Dell. So, 4 times as much data as 3 years ago.

    News from Sybase late last year saw the company launch the new version of the Sybase IQ high performance column-based analytics database. The new features of Sybase IQ 15.4 provide advanced techniques to address the new generation of Big Data and unlock critical business insights.

    The new release of Sybase IQ expands support for in-database analytics, including a native MapReduce API, Predictive Model Markup Language (PMML) support, integration with Hadoop, and an expanded library of statistical and data mining algorithms that leverage the power of Sybase IQ PlexQ massively parallel processing (MPP) technology.

    At the time of this news, Sybase’s Brian Vink went on the record saying, “Sybase IQ delivers the breadth of tools like native MapReduce and advanced Hadoop integration that data scientists need to analyze unstructured and structured data together to discover and predict deeper, more accurate insight into business performance and market dynamics. The latest release of Sybase IQ combines this breadth of tools with the ability for enterprises and application vendors to design high performance data analysis techniques to fully unlock the true potential of big data analytics.”

    Released: June 6, 2012, 10:22 am | Updated: March 22, 2014, 6:42 pm
    Keywords: Analysis News | Big Data

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