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 ...

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 ...

Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started. Getting the ...

Databricks today announced a new big data platform called the Databricks Cloud that will allow users to leverage Apache Spark technology to build end-to-end pipelines that underlie advanced analytic ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Senyo Simpson discusses how Rust's core ...

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 ...

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 ...

The joint press release from Google and Databricks says the latter is now "the only unified data platform across all three clouds." While that may seem a bit hyperbolic, Databricks does indeed offer a ...

Apache Spark was the pinnacle of advanced analytics just a few years ago. As the primary developer of this technology, Databricks Inc. has played a key role both in its commercial adoption, in the ...

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 ...