Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

Databricks, the Data and AI company, is introducing Databricks LakeFlow, a new solution that unifies and simplifies all aspects of data engineering—from data ingestion to transformation and ...

From query optimization to AI integration, SQL skills are adapting to meet the needs of modern analytics and engineering. Techniques like indexing, joins, and AI-driven insights improve performance ...

Qlik's latest data engineering release is designed around that reality. It brings agentic execution into the engineering workflow itself, giving teams new ways to translate intent into working data ...

Quick Summary Facing challenges to build, manage, and scale reliable data pipelines across modern DevOps environments? Discover the top 7 data engineering tools for DevOps teams in 2026 that help ...

Today’s data landscape presents unprecedented challenges for organisations, due to the need for businesses to process thousands of documents in numerous data formats. These, as Bogdan Raduta, head of ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

Data has always been regarded as an organisation’s crown jewels, but due to the explosion of data sources, making sense of the structured and unstructured information contained within an enterprise’s ...