The analytical challenge is deriving meaningful information from data in petabyte and exabyte volumes. Big data analytics breaks down the data sets into smaller chunks for efficient processing and ...

Soon after, though, if you were doing “Big Data,” you were using Hadoop. Spark wasn’t even an Apache project when Cloudera, Hortonworks and MapR were already in full business swing in 2013 ...

Big data startup Starburst Data has raised $100 ... running fast analytic queries against huge volumes of data stored in Hadoop, Amazon Web Services S3 and other sources. With data volumes ...