WEBINAR: Join Matt Aslett from 451 Research for a deep dive into everything about your data in the cloud.
Learn the secrets of how these award-winning customers succeed with BI on the Data Lake.
WEBINAR: Join Matt Aslett from 451 Research for a deep dive into everything about your data in the cloud.
Webinar: Modernize and simplify your data intelligence strategy – join the webinar and learn how.
WEBINAR: Big Data best practices by the industry’s proven leaders
With AtScale, you can query data in-place where it lands in your big data lake or Hadoop cluster, without additional data movement, but with OLAP and your BI tool of choice.
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 one 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.
Industry is rapidly moving to Big Data in the Cloud causing enterprises to struggle with self-service access across their hybrid data lakes
With the increasing adoption of modern, cloud-based data platforms and the proliferation of machine-generated data, it’s clear that the ability to analyze nested data structures must be part of any business intelligence architecture.
With marquee account names now on board such as Toyota and GlaxoSmithKline, the company also has high-profile customers to showcase its offering’s capabilities.
Don't miss our session in the Community Showcase, and be sure to visit our booth.
Uncover the secrets of Big Data best practices from proven industry leaders including Toyota and GSK.
Learn how the modern approach of a universal semantic layer will help you reduce data management complexities and give users timely access to the data that matters, in a secure and accurate way, from source.
