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 ...

Taking on Google, Databricks plans to offer its own cloud service for analyzing live data streams, one based on the Apache Spark software. Databricks Cloud is designed to provide a platform for ...

Invented eight years ago and intensively commercialized over the past several years, Apache Spark has become a core power tool for data scientists and other developers working sophisticated projects ...

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 ...

Databricks Inc., the leading commercial entity behind the Apache Spark, the open source cluster computing framework for Big Data processing, last week dropped a few hints about some of the new ...

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 ...

Today to kick off Spark Summit, Databricks announced a Serverless Platform for Apache Spark — welcome news for developers looking to reduce time spent on cluster management. The move to simplify ...

At the Hadoop World conference in New York City last fall, much of the excitement was around another big data crunching technology —Apache Spark. Full house with people standing during Spark talk.