Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

The immensely popular open-source cluster computing framework Apache Spark has just reached version 2.0, according to an announcement by the Apache Software Foundation (ASF) yesterday. Spark’s ...

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 ...

Databricks, the company behind Apache Spark, today announced the beta release of Databricks Community Edition, a free version of the cloud-based big data platform at Spark Summit East. This service ...

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 ...

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 ...