eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Databricks, the company founded by the team that created ...
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 ...
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 ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Databricks is giving users a set of new tools for big data processing ...
Databricks Inc., the primary commercial steward of the open source Apache Spark project for Big Data analytics, has upgraded its Spark-based platform, adding support for the R programming language, ...
Today to kick off Spark Summit, Databricks announced a Serverless Platform for Apache Spark — welcome news for developers looking to reduce time spent on cluster management. The move to simplify ...
Databricks agrees to acquire Tabular, the company founded by the original creators of Apache Iceberg
COMPANY NEWS: Data and AI company Databricks today announced it has agreed to acquire Tabular, a data management company founded by Ryan Blue, Daniel Weeks, and Jason Reid. Databricks says that by ...
Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...
Databricks Inc. today agreed to acquire Tabular Technologies Inc., developer of a universal storage platform based on the Apache Iceberg standard. The move signals stepped-up efforts by Databricks to ...
Apache Spark 2.0 is now generally available on the Databricks data platform. The company touts five to 10x performance increases over Spark 1.6 and new support for continuous applications with ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results