By Michael Burke | November 25, 2019 While some industry jargon might make it seem otherwise, there is no data stored on the internet. All electronic data resides on a computer that is lives somewhere. Typically, this computer is called a “server”, a term related to the ‘client-server’ architecture model in which one computer–the ‘client’–makes… View Article
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By Michael Burke | November 11, 2019 Data mining, or the process of drawing patterns from an organization’s data, is something of the wild west right now, with new technologies and techniques popping up faster than speeding tickets. So, it might surprise you to know that there is an industry standard process for data mining,… View Article
By Michael Burke | October 7, 2019 What makes a ‘data lake’ a lake? You can throw as much stuff in it as you want, as fast as you want. In my last post we talked about Map+Reduce–one of Hadoop’s ‘tricks’ for making it possible to ingest and store a ton of data of just… View Article
By Michael Burke | September 30, 2019 In my last post, we talked about Hadoop’s secret sauce–clustering–that enables it to handle massive datasets, up to ‘Yottabytes’ (yeah, that’s a real thing, it’s a septillion bytes). In this post we’ll talk about another main ingredient in Hadoop’s secret sauce: MapReduce. Hadoop uses a distinct technique to… View Article
By Michael Burke, Account Director In my last blog I introduced us to Hadoop, which allows companies to process, store and analyze Petabytes, Exabytes and even Yottabytes worth of data. And not just the kind of data you’d find on a spreadsheet–Hadoop can handle a wide variety of data (some would say just about any… View Article
By Michael Burke, Account Director If you’re working in anything related to tech–and maybe even if you’re not–you’ve probably heard a rather strange word: “Hadoop”. If you still can’t figure out what exactly it is, don’t worry, you’re not alone. But hopefully this multi-part blog series will help! Hadoop is very difficult to understand if,… View Article