Snowflake and Databricks are surely similar companies. While each positions itself a bit differently, both provide data storage, processing and governance in a cloud context. Both are holding customer ...

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 that it also acquired SiftD.ai, founded by the creator of Splunk’s Search Processing Language (SPL), a ...

The AI agent Genie Code is intended to autonomously handle complex tasks in data engineering and analytics – from pipeline creation to production monitoring. Databricks has introduced Genie Code, an ...

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 ...

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 ...

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...