Databricks Inc. today introduced an application programming interface that customers can use to generate synthetic data for their machine learning projects.The API is available in Mosaic AI Agent ...

Databricks has announced a major new update to the popular data analytics cluster framework Apache Spark, adding support for the R statistical programming language in an effort to make life easier for ...

This live Databricks notebook, with code in Python, demonstrates one way to analyze a well-known public bike rental data set. ... for that matter) through the Databricks API. ...

Databricks said its enterprise customers are already seeing the benefits of the new API. One such customer is engineered components manufacturer, Lippert, which used synthetic data to improve ...

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

Databricks One offers a simple, code-free environment that lets teams—from marketing to legal—generate powerful AI-driven insights from secure corporate data.

Python was already the most popular language in Spark before the latest batch of improvements (and Databricks and the Apache Spark community aren’t done). So it’s interesting to note the level of ...

The partnership between Snowflake and Databricks is a welcome sign. ... Data engineers can use the API from Python or Scala to access data from Snowflake.

Databricks is raising the bar on enterprise gen AI developer tools. Today, at its annual data and AI conference, the Ali Ghodsi-led company announced several new enhancements for its Mosaic AI ...