Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

AI is powerful, but it is not magic. Just because developers use AI tools does not mean outcomes will improve automatically.

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

Professionals worldwide gain standardized recognition for web development skills through assessment-based certification ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever reached, largely driven by AI and data trends. 58% of developers now use ...

As enterprises race to adopt generative and agentic AI, many assume their data foundations are already in place. In reality, ...

This is a remote position. We are seeking a Snowflake Senior Developer to design, develop, and optimise data solutions on our cloud data platform. You will work closely with data engineers, analysts, ...

One of the latest news from Windows Server 2025 dev is probbably the Native NVMe support. I was quite a suprised that this ...

ENVIRONMENT: A fast-paced FinTech company seeks a passionate Machine Learning Engineer (MLOps focus) to power instant lending decisions – no humans in the loop. Its models drive credit risk, portfolio ...

Overview: MongoDB continues to power modern applications, but analytics requires structured, reliable pipelines.ETL tools ...

AWS has expanded Amazon CloudWatch to unify log management across operational and security use cases. By integrating native ...

How to survive the 2026 compliance cliff. Learn why Ilum is the architectural standard for Oman PDPL, EU switching, and ...