Fighting fraud, reducing customer churn, improving the bottom line –  these are just a few of the promises of data science. Today, we have more data to work with than ever before, thanks to new data-generating technologies like smart meters, vehicle telemetry, RFID, and intelligent sensors. But with all that

Datastax, the leading enterprise Cassandra provider, recently unveiled Datastax Enterprise 4.5. DSE 4.5 is focused around making it easier than ever to develop and deploy, as well as increased performance capabilities, supported by integration with Apache Spark and partnership with Databricks. Dataconomy recently spoke to Robin Schumacher, Datastax’s VP of

Databricks, a start up that builds software around the popular open-source project Apache Spark, announced on Monday at this year’s Spark Summit in San Francisco that it has raised $33 million in Series B funding. The announcement also included the launch of a new cloud computing service on Amazon Web

Follow @DataconomyMedia Databricks and Datastax have announced a partnership centring around a supported open-source integration of their Cassandra and Spark products respectively. This follows announcements of Databricks integrations with Cloudera, MapR and Alpine Data Labs. Kelvin Chu, compute and data team lead at Ooyala, a video analytics platform who built