With the #Strata + #Hadoop World conference kicking off Monday, I would like to offer my perspective to help attendees who are at risk of being overwhelmed by all the noise and hype that are sure to follow.
Last year, at Strata + Hadoop World in New York, conference goers were dazzled by #Apache #Spark. Now, Spark has established itself in many circles as the next logical step in the evolution of big data analytics. However, there is still a disconnect between the potential opportunity for Spark and its immediate practical appeal.
There is no doubt that Spark, as a supercharged processing engine, offers tremendous gains and brings new capabilities to big data initiatives. But in some cases, Spark solves a problem that many organizations don’t yet know they have. Before organizations can optimize their big data initiatives, they need to figure out exactly what those initiatives are first. When I speak to companies, I often hear that they are stuck at the stage of considering whether to add Spark to their proverbial big data quiver. They know what Spark is, but not why they need it.
This year, conference goers should expect a change of pace, as exhibitors and speakers accept the challenge of building the business case of when, where, and why Spark fits into your big data future.
- See more at: http://data-informed.com/five-things-to-watch-for-at-this-years-strata-hadoop-conference/#.dpuf
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