Databricks Inc. is bringing Apache Spark to the enterprise, and Michael Armbrust, lead developer of Spark SQL at Databricks, created Spark SQL’s Catalyst Optimizer, a query API that is a fundamental ...

With the Hydrolix Spark Connector, Databricks users can use the Hydrolix streaming data lake to extract deeper insights faster and cheaper from their real-time and historical log data. According to a ...

Data analytics contender Databricks offers a platform that, along with the open source Apache Spark technology on which its core is based, has long been a favorite for attacking streaming data, data ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

Microsoft has unveiled a preview of a C++-based vectorized query engine for the Azure Databricks cloud analytics and AI service based on Apache Spark. Azure Databricks, which is delivered in ...

As well as access control, Databricks 2.0 now offers use of the popular R statistical programming language, support for multiple versions of Spark, and notebook versioning. Spark started in 2009 as a ...

We’re living in a world of big data. The current generation of line-of-business computer systems generate terabytes of data every year, tracking sales and production through CRM and ERP. It’s a flood ...

Databricks has announced the general availability of Apache Spark 1.4, including SparkR, a new R API for data scientists. Version 1.4 of the open-source Big Data processing and streaming engine also ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...