REPORT: Read why 451 Research calls AtScale the “Switzerland of Big Data’
Scale-out BI on BIg Data and OLAP on Hadoop with Virtual Cubes™ Create models with measures and dimensions, just like OLAP, but on your Big Data. You can actually ‘scale-out’ your BI, because the cube is ‘virtual’. Query multiple years, lines of business, brands and more from 1 ‘virtual cube’. Suddenly millions and billions of rows of data are available to query.
AtScale Machine Learning Performance Engine generates automatic ‘smart aggregates’ that learn to anticipate user BI and OLAP queries so you maintain scale, performance and control across your Big Data or Hadoop cluster at all times.
White to drive global growth, leveraging 20+ years of experience scaling businesses and key strategic partnerships
White’s charge is to build up an ecosystem of strategic partners to expand AtScale’s growth – regional systems integrators with big data practices will be prime recruitment targets
AtScale applies algorithms and statistics based on historical user activity to automatically generate aggregates on new data sets. Once new data is available and the prediction-defined aggregates function is on, AtScale generates aggregates before users begin querying the data.
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Are you doing the right things with Big Data? How do your peers, and competitors, use it? Is on-premises or Cloud the best direction? Which workloads drive the fastest impact and biggest ROI? Watch this webinar to learn why and what 2500+ Big Data and BI Enterprise Leaders choose for Big Data priorities in 2017, and hear from Brandon Bunker, Director of Customer Analytics and Intelligence at Vivint, IoT and Smart Home leader.