Microsoft's Apache Spark-based analytics platform has now gotten a series of enhancements centered around big data service integrations, while also expanding its availability to four new regions. Back ...

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 ...

Multi-cloud strategies are transforming how enterprises manage data, blending AWS, Azure, GCP, and Databricks for flexibility, resilience, and cost control. With orchestration, performance tuning, and ...

The goal of Gen2 - beyond ensuring the expected performance improvements - was to make Azure Data Lake Storage (ADLS) more compatible with the Apache ecosystem. Now, because ADLS is built on top of ...

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 ...