Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and ...

Databricks One was launched on a hectic day for the company, which also debuted a new agentic AI platform called Mosaic Agent ...

Databricks has long served data development teams, including hard-core data engineers and data scientists, with its flagship ...

Databricks’ new tools signal a shift from AI demos to production-scale deployment - anchoring agentic AI in governance, ...

Superblocks, the leading platform for secure enterprise application development, is announcing an expanded partnership with ...

At its annual Data + AI Summit, Databricks announced a new data engineering solution, LakeFlow, designed to streamline all aspects of data engineering, from data ingestion to transformation and ...

Databricks One offers low-code and no-code capabilities, aiming to democratize analytics for business users while maintaining ...

Databricks has primarily pitched its products to technical users such as data scientists and AI engineers. But at its ...

Microsoft Azure Synapse and Databricks are both well-respected data platforms ... It comes packaged with its own user interface as well as ways to connect to endpoints such as JDBC connectors.

LakeFlow addresses these challenges by simplifying all aspects of data engineering via a single, unified experience built on the Databricks Data Intelligence Platform, with deep integrations with ...

Both Databricks and AWS Redshift are well-respected and highly-rated data platforms ... It comes with its own user interface as well as ways to connect to endpoints, such as Java database ...

In this course, you will learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.