Apache Spark company Databricks has updated its cloud platform with a feature designed to let firms manage production pipelines to run Spark workloads without human intervention. The company, started ...

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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 ...

Databricks, the company founded by the creators of Apache Spark, has formed a new partnership with SAP. The companies have collaborated on a Databricks-certified Apache Spark distribution offering for ...

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 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 ...

On Monday, IBM announced it will invest about $300 million over the next few years and assign 3,500 people to help develop an up-and-coming technology known as Spark. IBM called Spark "the most ...

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 ...