Corporate Data Return on Investment

By John Myers on Feb 22, 2012 2:55:09 PM

Informatica Goal: Maximize Return on Data

The theme of last week’s Informatica Analyst Conference was utilizing the “secular megatrends” of information technology to energize data integration across organizations at an enterprise scale.  These megatrends, described as trends we can all agree upon, are the following:

Continue Reading

NoSQL Implementation Drivers

By John Myers on Feb 9, 2012 2:55:08 PM

If you look at the history of Big Data requirements (volume, velocity and variety), and the NoSQL platforms supporting those requirements, you see a history of organizations and development teams breaking the mold of traditional information technology (IT) programs. Instead of following the traditional IT methodologies to solve the Big Data issues, these teams pushed the envelope and invented new technologies to solve those “volume, velocity and variety” problems. More often than not, these efforts were accomplished using collaborative, bottom-up methodologies, such as Open Source, rather than rigid, top-down approaches found in traditional product development methodologies. Specifically, if you look at the history of the Hadoop development at Yahoo, you see an approach that sought the input and wide spread resources of the Open Source movement rather than a more rigid proprietary approach.

Continue Reading

Begin with End in Mind for Big-Data Analytics

By John Myers on Oct 16, 2011 12:32:41 PM

Many times when discussing the topic of big-data, the focus is on the volume of the data, the structure of the data or the near real-time analysis requirements of the data.  We toss around buzzwords like Hadoop, structured vs unstructured, etc…. However, often times what is missed are the analysis goals of the big-data environment.

Continue Reading

    Lists by Topic

    see all

    Posts by Topic

    see all

    Recent Posts