Datascape podcast episode 3 – all about data lakes with Danil Zburivsky

Posted in: Advanced Analytics, Big Data, Hadoop, Technical Track

I started hearing the term ‘data lake’ a few years ago but didn’t pay a ton of attention to it. Today, the term’s still around and so is the hype. According to this article on Wikipedia the term is poorly defined and has morphed significantly since it was coined by James Dixon.

Does it mean Hadoop? Does it mean we put everything in one spot? Do we need to document what’s there?

My Google search yielded all sorts of contradictory articles about ‘data lakes’ so I decided to talk to my colleague, Danil Zburivsky, to find out what’s real, what isn’t and what people are using it for.

Join Danil and I for the third episode of the Datascape Podcast as we sift through the murky term ‘data lake’ for some clarity.

You can find it on iTunes, Google Play, Sound Cloud, and just about anywhere that shares podcasts.



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About the Author

Chris Presley loves order—making him a premier Microsoft SQL Server expert. Not only has he programmed and administered SQL Server, but he has also shared his expertise and passion with budding DBAs as SQL Server instructor at Conestoga College in Kitchener, Ontario. Drawing on his strong disaster-recovery skills, he monitors production environments to swiftly detect and resolve problems before they arise. A self-described adrenaline junkie, Chris likes tackling the biggest database problems and putting out the toughest fires—and hitting the road on his motorcycle.

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