‘Streams in the Beginning, Graphs in the End’ is a three-part series by Dataconomy contributor and Senior Director of Product Management at Cray, Inc., Venkat Krishnamurthy – focusing on how big changes are afoot in data management, driven by a very different set of use cases around sensor data processing.

‘Streams in the Beginning, Graphs in the End’ is a three-part series by Dataconomy contributor and Senior Director of Product Management at Cray, Inc., Venkat Krishnamurthy – focusing on how big changes are afoot in data management, driven by a very different set of use cases around sensor data processing. In this first part, we’ll talk

Thomas Levi is a Data Scientist at Plenty of Fish (POF), a free online dating website based in Vancouver. Thomas has a background in theoretical physics and at one point worked in string theory. Much of his work has involved topic models and other cool algorithms Follow Peadar’s series of

The sheer volumes involved with Big Data can sometimes be staggering. So if you want to get value from the time and money you put into a data analysis project, a structured and strategic approach is very important. The phenomenon of Big Data is giving us ever-growing volume and variety

These days, every business is exploring ways to use data and new technologies to gain a competitive edge. While there’s no questioning the value to be found in big data analytics, organizations have had a low success rate to date when it comes to rolling out data initiatives. A recent

#Unit festival is a new tech event with a message, promoting the power of unicorns in the technology community. 40+ top tech speakers delivering insights from a range of backgrounds. Music performances, interactive installations and thought-provoking entertainment. A dynamic networking experience with the opportunity to make an abundance of new

Everyone likes to save money–and when you’re running a huge business like Zalando, saving money by making your systems more efficient can mean saving millions of Euros. That’s why I’m excited to tell you that the Zalando Data Intelligence team recently found a way to save us piles of money.

There is much discussion in the industry about analytic engines and, specifically, which engines best meet various analytic needs. This post looks at two popular engines, Hive and Presto, and assesses the best uses for each. How Hive Works Hive translates SQL queries into multiple stages of MapReduce and it

With passengers once again left frustrated by rail delays and disturbance over the Easter period, UK rail operators will no doubt face further scrutiny over the quality of service they are providing commuters. With services frequently disrupted by signalling problems, broken-down trains and congestion, the industry, the Government and, of

In a particular subset of the data science world, “similarity distance measures” has become somewhat of a buzz term. Like all buzz terms, it has invested parties- namely math & data mining practitioners- squabbling over what the precise definition should be. As a result, the term, involved concepts and their