HPE's big data solutions add machine learning and natural language into the mix #HPEDiscover - SiliconANGLE

It's been a very big year for big data, and Hewlett Packard Enterprise Co. is helping enterprises get a handle on organizing and analyzing their data with tools that analyze in place and offer machine learning and cognitive capabilities, according to Jeff Veis, VP of marketing, big data platform, at Hewlett Packard Enterprise Co. Veis spoke to Dave Vellante (@dvellante) and Paul Gillin (@pgillin), co-hosts of theCUBE*, from the SiliconANGLE Media team, during HPE Discover EU, held in London. Veis also discussed HPE big data solutions, including Vertica, which enables users to conduct data analysis, regardless of where the data resides; IDOL, a software solution that provides a single environment for structured, semi-structured and unstructured data; and Haven, an on-demand platform of more than 60 advanced machine-learning APIs and services. One of the concepts Veis talked about was "analyze in place," or ways customers can get the value out of their datalake. With Vertica, they get the performance of a Vertica front end with the economy of Hadoop. Vertica's new Frontloader was released in September; it added MS Azure support, in addition to AWS.