Credits: Google Images

This is the story from time when I was in initial years of my programming career and I was a huge fan of Jetbrains IDE’s (I am still), I was using Windows prominently at that…

Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This article explains why Deep Learning is a game changer in analytics, when to use it, and how Visual Analytics allows business analysts to leverage the analytic models built by a (citizen) data scientist.

What is Deep Learning and Artificial Neural Networks?

Deep Learning is the modern buzzword for artificial neural networks, one of many concepts…

By Andy Palmer, Co-founder and CEO of Tamr

We all know by now that most “big data” challenges can be characterized into one of the “3 V’s”:

Volume:  You have too much data

Velocity: It is coming at you too fast

Variety: It is coming at you from too many places/silos

Over the past 5 years, my partner Mike Stonebraker and I have been on a mission to raise awareness of the…

Open source and proprietary cloud services both aim to provide end-users with reliable software. Some users prefer the backing of a large company like Amazon or Microsoft, with a tailored list of compatible programs and services. Others prefer the interoperability and flexibility of open source alternatives like OpenStack or Eucalyptus. It's not necessarily an issue of right or wrong, for some people open source software is the obvious choice. Those who want more managed solutions…

Summary:  Which to pick?  Open Source, Distribution, or Big Data Suite.  Here are the factors you should consider.

Before we get to the specifics…

There are plenty of discussions about what data science is, what defines a data scientist, and how to position yourself as a …