I think most would agree that the Big Data industry is witnessing an accelerated hype cycle that feels all too familiar. Remember 2000? I sure do. That was the year my bubble burst.
Big Data & Brews reminds me of the good old pre-dotcom-bubble days when I used to attend many networking events over at the Westwood Brewery near UCLA. Those were heady days. It was beer and tech back then as it seems to be today. Now, instead of meeting up in person, you can enjoy contemporary discussions of the big data industry by watching the host, Datameer CEO Stephan Groschupf, and his guest in an informal pub atmosphere.
“Tackling big data without a cloud-centric worldview is sort of like building a skyscraper without doing a soil study first: you might make some initial progress, but sooner or later you’ll discover that you need to understand and thoroughly adapt an (inadequate) foundation. At a minimum, you’ll experience false starts and thrashing; in many cases, you may never place a capstone.”
In this podcast, Peter ffoulkes from 451 Research discusses the recent launch of the new Intel Xeon processor E7 v2 chip. “What Intel did at this launch event was set their sights firmly on the RISC Unix vendors and basically introduced this new processor family as a new architecture to change a lot of the things that are going on.”
The analytics software category is 30 years old and about $15 billion in size. So why is it that information technology research and advisory firm Gartner has not published a standalone Magic Quadrant on the sector until this year? The answer: Gartner has meshed business intelligence with analytics for the past decade, and viewed them […]
“A Big Workflow approach to big data not only delivers business intelligence more rapidly, accurately and cost effectively, but also provides a distinct competitive advantage. We are confident that Big Workflow will enable enterprises across all industries to leverage big data that inspires game-changing, data-driven decisions.”
I’ve been monitoring a curious and lively discussion over on LinkedIn – “Is it necessary to have a Masters Degree to become a data scientist?” The comments I’ve seen have exhibited a number of points of view on the matter that I think are reflective of the questions on many people’s minds – both those wanting to become a data scientist and those wanting to hire a data scientist.