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 ...

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 ...

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 ...

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 ...

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 ...

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, 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 ...

Databricks — the company founded by the creators of the popular open-source big data processing engine Apache Spark with its flagship product, Databricks Cloud — introduced “Jobs,” a feature for ...

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 ...