Recent work under the INTEND project and the paper " Intent-Based Data Operation in the Computing Continuum " points in the ...

Multiple 2026 data engineering guides from industry sources outline a skills roadmap emphasizing Python, SQL, cloud platforms, orchestration tools, and AI-driven data integration. The evolving ...

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 ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the ...

DuckDB Labs recently released DuckLake 1.0, a data lake format that stores table metadata in a SQL database rather than ...

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 ...

SQL is still the connective tissue of every modern data stack—from cloud warehouses to mobile apps. Recruiters know it, too: employer demand for SQL skills grew 46% year-over-year, according to labour ...

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 ...

Data engineering interviews demand more than technical know-how—they test your ability to design scalable systems, optimize SQL, and communicate clearly. Combining technical skills with structured, ...