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.
Bowes to bring Big Data expertise from Oracle, Cloudera and SAP/Sybase to help AtScale’s growing list of enterprise customers move to the next level
2018 will unleash a major disruption for the analytics and data management space. It will upend decades worth of accepted practices and introduce new winners and losers. At the center of the storm is the public cloud and the many implications it will have for big data.
As you start embarking on the “all cloud” journey, beware of the “lock-in”. Not every cloud is created equal.
Visit AtScale in booth 203 on February 13-14 at TDWI Las Vegas, where you can experience the industry's leading universal semantic layer to bring your big data to life with the BI tool of your choice.
Meet AtScale at the Gartner Data and Analytics Summit and discover how you can unleash the power of all of your data across your enterprise using the industry's leading universal semantic layer, using any data platform or BI tools.
See AtScale in booth 1420 at Strata San Jose, one of the industry's leading conferences, to discover advancements in analytics, machine learning, and how to implement breakthrough data strategies.