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SAN FRANCISCO, March 6, 2018 — Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark, today announced the availability of Apache Spark 2.3.0 ...

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...

Databricks is enhancing its cloud based platform to strengthen its security, manageability and ease of application development. According to the vendor, the new features securely manage data access ...

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Two years in the making, Apache Spark 2.0 will officially debut in a few weeks from Databricks Inc., which just released a technical preview so Big Data developers could get their hands on the "shiny ...

You probably did not hear it here first. Spark has been making waves in big data for a while now, and 2017 has not disappointed anyone who has bet on its meteoric rise. That was a pretty safe bet ...

At its Data + AI Summit, Databricks today made the requisite number of announcements one would expect from a company’s flagship developer event. Among those are the launch of Delta Lake 2.0, the next ...