What you missed in Big Data: On the bleeding edge | SiliconANGLE

What you missed in Big Data: On the bleeding edge | SiliconANGLE

It’s been yet another exciting week in the fast-paced world of analytics with a string of updates spanning the entire data processing lifecycle, from the initial collection stage all the way to the visual presentation of the insights gained along the way.  It was RapidMiner that fired the opening shot with the acquisition of fellow startup and longtime strategic partner Radoop.

RapidMiner sells a platform that allows everyday business users to tap into their backend systems and external services without any manual integration, crunch that information via a visual interface and feed the results into their front-end application of choice.  The Hungary-based Radoop, meanwhile, offers a data workflow management tool thats runs directly atop Hadoop and enables customers to exploit the economies of scale offered by the batch processing framework without getting bogged down in its complexity.

Bringing Radoop into the fold will allow RapidMiner to handle large-scale workloads its software couldn’t handle up to this point and better address already supported use cases like predictive analytics, a form of machine learning on a fast track to mainstream enterprise adoption. The surging interest in the technology has even caught the attention of Microsoft, which is rolling out a new cloud service aimed at empowering companies to forecast business opportunities in advance.

Machine Learning from Microsoft Azure

Azure Machine Learning, as the offering is called, includes a drag-and-drop environment for building models and experimenting with different algorithms as well as an automatic publishing feature that makes it possible to spin up a predictive services with a few clicks, according to the firm. Later down the road, Microsoft will release a software development kit (SDK) to let customers embed functionality they’ve created using Azure Machine Learning into their applications.

Tableau data visualization with Story Points

While the likes of RapidMiner and Microsoft are working to helping users uncover insights, Tableau is focusing on making it simpler to effectively communicate those insights to the decision makers that need them.

Released on Thursday, the latest version of the company’s flagship data visualization platform introduces a feature called Story Points that can be used to turn mundane worksheets and dashboards into graphs accessible from a web browser or a mobile devices.  Additionally, Tableau 8.2 introduces Mac support, features a revamped data viewing experience and comes with an enhanced backend that makes it simpler for admins to manage large-scale deployments.

photo credit: coffish via photopin cc

About Maria Deutscher

Maria Deutscher is a staff writer for SiliconAngle covering the enterprise cloud space. If you have a story idea or news tip, please send it to @SiliconAngle on Twitter.


View all posts by Maria Deutscher

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What you missed in Big Data: On the bleeding edge | SiliconANGLE

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