With Azure Databricks, we can now do everything—develop, train, deploy, and fine-tune models—on one platform. This saves time and ensures a more secure development process. Unmatched data ...

Ali Ghodsi, CEO of Databricks, said people underestimate how difficult it is to fully automate tasks and take humans out of the loop.

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

List comprehensions are a Pythonic functional construct allowing developers to express in a concise way loops to build and manipulate lists. Previous studies point to a gain in speed when list ...

Microsoft's Build conference unveiled Agent Loop, a transformative feature in Azure Logic Apps enabling developers to embed AI agents into enterprise workflows. Leveraging over 1,400 connectors ...

Comparing Azure Machine Learning and Databricks for your data solutions? Explore our analysis to find the best fit for your needs.

In migrating to Azure Databricks, AT&T has achieved significant savings by shutting down datacenters and moving members of its technical staff up the value chain to work on optimizing processes rather ...

The Apache Spark community has improved support for Python to such a great degree over the past few years that Python is now a “first-class” language, and no longer a “clunky” add-on as it once was, ...