Cloudera has begun rolling out the much-needed revamp of its big-data platform with a new database management and machine learning engine for multiple functions including large-scale, self-service analytics and AI capabilities using telemetry consumed from edge-based endpoints. Under development since completing its merger with onetime rival Hortonworks earlier this year, the company officially launched the Cloudera Data Platform (CDP) during this week's O'Reilly Strata Data Conference in New York. Faced with declining demand for Hadoop, the engine for early cloud-based streaming analytics architectures, the companies came together with CDP as Cloudera's next act. Most notably, Cloudera replaced the core Hadoop Distributed File Store (HDFS) with a cloud object store that can run in Kubernetes clusters. CDP is available in the three major public clouds (AWS, Microsoft Azure and Google Cloud) and on premises, with a bare-metal server version of Cloudera's object store based on Apache Ozone, developed by Hortonworks as a more scalable extension of HDFS.
Oct-31-2019, 13:24:27 GMT