The new solution eliminates wasted costs in Databricks — by using Sedai’s patented AI to understand and safely right-size clusters without manual tuning. Traditional tools provide recommendations for ...

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 ...

Through Databricks Clean Rooms, Adstra is making its Conexa Identity Network available to TMC clients, allowing them to resolve and enrich their first-party data in a secure, privacy-first environment ...

Many organizations rely on Databricks’ Lakehouse Platform for storing and analyzing data, both structured and unstructured. To run your decision support queries quickly, it is important to select ...

Privacera, a cloud data governance and security leader founded by the creators of Apache Ranger, is releasing the latest version of the Privacera Platform, an enterprise data governance and security ...

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 ...

Any doubts about the skyrocketing rise of Apache Spark technology in the Big Data ecosystem were put to rest at a recent conference, where it almost stole the show. Big Data vendors large and small ...

Big-data analytics company Databricks Inc. is adding more automation, administration and security features to its Unified Data Analytics Platform today. The updates are designed to make it safer for ...

Databricks announced support this week for the latest version of Spark, integrating it into its enterprise analytics platform. Along with support for version 2.4 of the stream processing framework ...

Databricks, the commercial company created from the open source Apache Spark project, announced the release of a free Community Edition today aimed at teaching people how to use Spark — and as an ...