• Why the 2016 Hype Cycle for Emerging Technologies is all about Data

    Every year, Gartner published the Gartner Hype Cycle for Emerging Technologies and today revealed the 2016 edition. Last year, Gartner tempered the expectations of Big Data, by predicting it would take another 5-10 before it would reach the plateau of productivity. This year, Gartner finally added “emerging” technologies such as the Blockchain and Machine Learning. Let’s have a look at the 2016 Hype Cycle for Emerging Technologies and see what it means. Gartner identified three key technology trends that organisations need to track in order to gain competitive [...]

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    Why Humanizing Algorithms Is a Good Idea

    Algorithms are taking over the world. Not yet completely and not yet definitely, but they are well on their way to automate a lot of tasks and jobs. This algorithmization offers many benefits for organizations and consumers; boring tasks can be outsourced to an algorithm that is exceptionally well at a very dull task, much better than humans could ever become. More complicated tasks can benefit from insights derived from analyzing multiple data sources and these insights can help humans in the task at hand. Soon, however, also these tasks could be taken over by algorithms. We know many [...]

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    5 Reasons Apache Spark is the Swiss Army Knife of Big Data Analytics

    We are living in exponential times. Especially if we are talking about data. The world is moving fast and more data is generated every day. With all that data coming your way, you need the right tools to deal with the growing amounts of data. If you want to get any insights from all that data, you need tools that can process massive amounts of data quickly and efficiently. Fortunately the Big Data open source landscape is also growing rapidly and more and more tools come to the market to help you with this. One of these open source tools that is making fame at this moment is Apache Spark.[...]

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