One of the hottest open source projects in the Big Data/Hadoop ecosystem was upgraded with new SQL functionality and more as the Apache Software Foundation announced the release of Apache Spark 1.0.

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

For data engineers looking to leverage Apache Spark™'s immense growth to build faster and more reliable data pipelines, Databricks is happy to provide The Data Engineer's Guide to Apache Spark. This ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

SANTA CLARA, Calif., April 6, 2023 — Dremio today announced the early release of its forthcoming O’Reilly book, Apache Iceberg: The Definitive Guide | Data Lakehouse Functionality, Performance, and ...

Recent surveys and forecasts of technology adoption have consistently suggested that Apache Spark is being embraced at a rate that outperforms other big data frameworks Initially open-sourced in 2012 ...

Don’t look now but Apache Spark is about to turn 10 years old. The open source project began quietly at UC Berkeley in 2009 before emerging as an open source project in 2010. For the past five years, ...

It’s time for the next version of SQL Server, Microsoft’s flagship database product. The company today announced the first public preview of SQL Server 2019 and while yet another update to a ...

Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...