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 ...

The same team that created GemFire builds on Spark in a new open source database that can analyze OLTP and OLAP workloads side-by-side The team behind Pivotal’s GemFire in-memory transactional data ...

SparkSQL is just the latest addition to the technology stack that provides access to big data. From an analytics perspective, an enterprise has a significant amount of data and needs to turn its data ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article introduces practical methods for ...

Senzing, an identity intelligence company, today announced the opening of its Senzing for Apache Spark beta program, bringing the company’s industry-leading entity resolution technology to distributed ...

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 ...

The cloud-hosted environment, described by Databricks as being deployed by more than 150 firms, aims to simplify the use of the open-source cluster compute engine and cut the time spent developing, ...

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 ...