When your data and work grow, and you still want to produce results in a timely manner, you start to think big. Your one beefy server reaches its limits. You need a way to spread your work across many ...

Hadoop is not what it used to be, and we mean this in a good way. If we were to speak in hype cycle terms, we would say sometime in the past few years Hadoop exited the peak of inflated expectations ...

Hadoop Summit San Jose has come to an end. This year, I was there to cover the news, and to present a breakout session. My talk focused on fragmentation in the industry: the Big Data ecosystem has too ...

Scheduling means different things depending on the audience. To many in the business world, scheduling is synonymous with workflow management. Workflow management is the coordinated execution of a ...

The Strata+Hadoop World 2015 conference in New York this week was subtitled “Make Data Work,” but given how Hadoop world’s has evolved over the past year (even over the past six months) another apt ...

If you’ve got a lot of data, then Hadoop either is, or should be on your radar. Once reserved for the Internet empires like Google and Yahoo, the most popular and well-known big data management system ...