Databricks said the free offering automates up to 80% of the migration lifecycle and can be used as part of a strategy to ...

and Spark SQL’s ANSI journey has been a work in progress. With Spark 3.0, the engine gains closer adherence to the standard. The Databricks authors write: “To improve compliance, this release switches ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Finally, the new pandas API also provides interactive data visualization powered by plotly, as an alternative to the pandas default matplotlib, Databricks says. The use of plotly supports interactive ...

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

Finally, through Spark SQL's external data sources API ... Along with our other ongoing work in Spark and Databricks Cloud, we expect this feature to make big data accessible to a much wider ...

You can type in SQL queries and it will now crunch ... automatically just runs through this stuff. Databricks gives you all these things." Spark started in 2009 as a UC Berkeley AMPLab research ...

SQL Analytics endpoints make use of the Delta Engine and Photon technology added to Databricks in June. One way to think of Delta Engine is as an optimized C++ based rewrite of the Spark SQL engine.

Announced today at Spark Summit 2017, Databricks is releasing Deep Learning ... through mechanisms that turn deep learning models into SQL functions for business and data analysts; Work more ...

Thursday Databricks launched SQL Analytics, the company’s new software ... the San Francisco-based company founded by the developers of the Apache Spark unified analytics engine that underlies ...