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.

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 ...

As data lakes increasingly make their move to the cloud, it’s easier than ever to set up, maintain, and scale storage to meet your all your analytic needs. But, with all the platforms out there, it ...

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 ...

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 ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...