For those of you just tuning in, Spark, an open source cluster computing framework, was originally developed by Matei Zaharia at U.C. Berkeley’s AMPLab in 2009, and later open-sourced and donated to ...

Three main pressure points are transforming the modern data landscape: 1) Increased interest in adopting open table formats to allow any compute to operate on any data; 2) The point of control is ...

Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...

Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...

Databricks Cloud uses only the 100% open source Spark API Perform sophisticated analysis with MLlib (machine learning), GraphX, and Spark SQL Your code runs the same way on any Spark distribution Oak ...

As data sources and volumes grow, and as a data-driven orientation is increasingly deemed to be a competitive necessity, the war between platform vendors to provide the primary repository for our data ...

The data industry has arrived at a pivotal juncture that echoes the themes we’ve charted in previous Breaking Analysis episodes, from The Sixth Data Platform through The Yellow Brick Road to Agentic ...