Databricks has made a name for itself as one of the most popular commercial services around the Apache Spark data analytics platform (which, not coincidentally, was started by the founders of ...

Azure Databricks now connects seamlessly with Microsoft Power Platform, enabling real-time, governed, and secure access to enterprise data for apps, workflows, and AI agents. This integration ...

Scott Guthrie, Microsoft EVP of Cloud & Enterprise. Microsoft Azure customers interested in parsing large amounts of data to improve their businesses will soon be able to use Azure Databricks, ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

A GitHub project now offers an Azure Databricks medallion architecture pipeline built with PySpark, Python, and SQL. It processes e-commerce data through Bronze, Silver, and Gold layers, adding ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Microsoft has unveiled a preview of a C++-based vectorized query engine for the Azure Databricks cloud analytics and AI service based on Apache Spark. Azure Databricks, which is delivered in ...

The second major version of Azure Data Factory, Microsoft's cloud service for ETL (Extract, Transform and Load), data prep and data movement, was released to general availability (GA) about two months ...

The Australian Prudential Regulation Authority (APRA) is set to modernise its data stack and governance architecture, underpinned by a new platform built with Databricks on Azure. The project appears ...