Big data is loaded with big words. Having a good grasp of common data terms helps you not only understand, but also join in and influence conversations around data initiatives. Check out vital discussions around data evolution and revolution at www.datamakespossible.com. Okay, let’s get started and demystify some terms you’ve heard before and introduce a […]
Open source may be the foundation for big data, but it’s not the ticket to riches.
Skip the hyperbole and the holy wars and get down to facts.
Sure, it would cost a lot to pay to build Linux or Hadoop. That’s not the point.
Spark may be young, but it’s here to stay.
Say goodbye to batch processing (again).
It needs serious database talent—but not just any talent.
Doug Cutting says walk before you run.
It makes YARN play nicely with Mesos in Hadoop.
Most corporate cultures still aren’t built around data.
As demonstrated by Amazon and Microsoft.
It’s the cool kid these days, but it’s flunking some subjects.
Enterprise data just keeps getting messier, but open source offers hope.
Thanks to the Internet of Things.
The lure of mining your data is too much to resist.
The filing could end up stiffing more deserving competitors.
BI has been largely a waste, though that may be changing.
One acquisition by Oracle or Cisco could upturn the field.
And that creates … opportunity!
They know they need it, just not why or how.