VIDEO: Learn 7 Do’s and Don’ts for Analytics on Big Data Success
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.
The idea behind the universal semantic data layer is to take an inventory of all the key business metrics, gather the definitions already existing in the BI tools, and collect them in a single abstraction layer where they can be managed and changed in one place.
New offering brings faster-time-to-insight and production-ready Big Data analytics capabilities with Microsoft Azure HDInsight
Self-service business intelligence offers many benefits, but bringing analytics and reporting closer to business units by bypassing IT can have unintended — and costly — consequences.
Join AtScale, and our VP of Product Josh Klahr, at Data Summit where you'll hear from leading experts on all aspects of information management, big data, data science, data warehousing and more Learn to unleash the power of your data.
Don't miss the industry’s premier big data community event to learn from peers and industry experts how open source technologies enable you to leverage all your data, on premise and in the cloud, to drive predictive analytics, distributed deep-learning, and artificial intelligence initiatives.
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.