Everyone’s heard the adage “when all you have is a hammer, everything looks like a nail”. When you’ve been doing BI for a long time, you kind of think of data like this:

BD0.png

Then Big Data came along:

BD1.png

But Big Data isn’t just Big volumes of data, it’s about the variety and velocity as well:

BD2.png

So we’ve got more data than ever before. In structures we’re not used to dealing with. And we have business analysts who grew up with Google, expecting instant access to consumable information.

Yikes.

It was clear to our engineering team they needed to think about things differently. Big Data is inherently Big, and we all know moving massive amounts of information isn’t a great idea. So to give end users the performance they expect and the ability to bring Big Data to the desktop we enabled data wrangling on Lumira..

And with the emergence of tools like NoSQL and graph databases, we realized flattening the data should be the end goal, no the beginning. You can see what I mean by reading more about our customized data access extension for MongoDB.

But we need to keep challenging ourselves and thinking about new ways to handle Big Data. Please come visit us at Strata Hadoop World NYC or reach out to me directly. I’d love to hear what Big Data means to you and your organization!

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