Advertisement

AtScale Introduces the Industry’s First Universal Semantic Platform for BI on Big Data

By on

by Angela Guess

According to a recent press release, “AtScale, the only company to provide enterprises with a universal semantic platform for BI on Big Data, unveils today AtScale 5.5, its flagship and patented software solution. This release is bound to set the standard for enterprise BI on Big Data.  The companies deploying AtScale software are all large organizations with sophisticated requirements and the work they have done has been credited for advancing the field of Big Data across many industries: financial services, healthcare, insurance, telecommunications, media and entertainment and retail.  For instance, Macy’s was recognized with the Ventana Research Business Technology Leadership Award.  Yellow Pages received the Cloudera Data Platform Optimization… ‘AtScale was early to spot the opportunity to bring high performance interactive analytics to big data platforms,’ says Matt Aslett, Research Director, Data Platforms and Analytics, 451 Research. ‘The company’s expanded vision, driven by the best practices learnt from customer successes, broadens its applicability and addressable audience’.”

The release goes on, “The adoption of the data lake over the past few years has proven that enterprises needed a way to store vast amounts of raw data in its native format until needed for consumption.  New database platforms like Hadoop or Google BigQuery have provided affordable solutions to let enterprises store data.  However, when this data was not put to use, Data Lakes became Data Swamps. According to Gartner’s August 2016 Magic Quadrant for Metadata Management Solutions report, ‘Through 2018, 80% of data lakes will not include effective metadata management capabilities, making them inefficient.’ AtScale provides a modern approach to the Enterprise Data Lake by adding the critical capabilities required to make Enterprise Data Lakes work.”

Read more at PR Newswire.

Photo credit: AtScale

Leave a Reply