The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Abstract: The need for effective Extract, Transform, Load (ETL) technologies that can manage the growing volumes of both structured and unstructured data in information lakehouse architectures is ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

ETL is no longer just about moving data; it’s about making it think. Across industries, the silent shift toward intelligent data pipelines is redefining how enterprises respond to change. Pipelines ...

Data locality is crucial for distributed computing systems (e.g., Spark and Hadoop), which is the main factor considered in the task scheduling. Simultaneously, the effects of data locality on reduce ...

As the volume, velocity, and variety of data continue to accelerate, developers are facing a critical shift: data is no longer just stored and queried--it's constantly on the move. From traditional ...

As the creation of digital data outpaces its ability to store it, scientists are turning to a solution found in nature itself: DNA. Scientists have developed an experimental “DNA cassette tape” to ...