HP Creates a HAVEn for Big Data Projects

Mike Vizard

While many people tend to think that the term Big Data is synonymous with Hadoop, the reality of the situation is that any successful Big Data project will wind up encompassing multiple data management platforms.

As part of an effort to make managing all those technologies more feasible, HP this week at the HP Discover 2013 conference launched HAVEn, an integrated Big Data analytics platform that combines Hadoop with HP Autonomy, HP Vertica, HP ArcSight and HP Operations Management software to create a unified Big Data management platform for the management of both structured and unstructured data.

According to Colin Mahony, vice president and general manager for HP Vertica, HAVEn is not only designed to make it easier to acquire complementary Big Data platforms, it creates a common reference architecture for building Big Data applications that span a range of SQL and NoSQL applications.

Mahony says customers then have the option of either loosely or tightly coupling these platforms in a way that is extensible and that leverages an open framework that doesn’t require them to make a commitment to one particular platform.

That’s significant, says Mahony, because when it comes to Big Data, most organizations can’t be sure what Big Data platform they will ultimately require. Odds are good that depending on the application most IT organizations will wind up using multiple Big Data platforms, which HP argues should be optimally designed to integrate with each other to create the best possible Big Data outcome.

When it comes to Big Data of any type, the one thing that is for certain is that there is more unknown than known. In fact, the odds are good that most Big Data projects will either fail, or either have to incorporate or be moved to another platform beyond the one on which they were initially conceived.

Whatever the case, Mahony says that when it comes to tectonic shifts like the move to Big Data, it’s best to hedge as many bets as possible. After all, the more Big Data ground beneath our collective feet continues to shift, the more important it becomes to have a Big Data architecture that provides the flexibility needed to roll with the changes.



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