Tag Archives: Big Data

For the Data Scientists: 5 Upcoming Big Data Conferences You Shouldn’t Miss

Big data is a big deal right now, and it’s only going to become a bigger deal in the future, so it makes sense to learn about as many of its aspects as you can, as quickly as you can. Or pick one and learn it very well. Or don’t pick any, if you are a staunch believer in the shelf-life of traditional data warehouses. From a machine learning deep-dive to an open-source buffet,  the following five conferences provide educational and networking opportunities for both the specialists and renaissance persons among you. Attending a cool one I’ve missed? Let me know in the comments!



30 Hadoop and Big Data Spelunkers Worth Following

Understanding the basic purpose of Hadoop is easy: it offers a way to quickly store, process and extract deliverable meaning(s) from vast datasets. It does this by breaking the datasets up into commodity-server-sized chunks, replicating these to reduce failure, and sending them out to a connected web (cluster) of commodity servers (nodes) . Understanding how it can integrate with the current big data landscape and may integrate with the future one is a little harder—for that, I’ve turned to the experts. Luckily for me, and for you, if you’re in my boat, many of them maintain active twitter and blogging presences. Even more luckily, the quality and clarity of writing is really, really high. The following list is by no means exhaustive, but poking into the thoughts of even a few can elucidate everything from machine learning to data modeling and distributed systems.

1.) Hilary Mason

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