This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

In today's digital world, cybersecurity threats are ever-growing, making ethical hacking and penetration testing crucial components of modern security practices. Ethical hacking involves legally ...

In 2026, data engineering isn't just about managing data-it's about building intelligent systems that power business strategy. Companies are moving beyond batch warehouses to real-time, cloud-native ...

A fundamental divide between data engineering and business analytics complicates how organizations operate in a rapidly evolving digital environment. Enterprises manage unprecedented volumes of ...

Data engineers should be working faster than ever. AI-powered tools promise to automate pipeline optimization, accelerate data integration and handle the repetitive grunt work that has defined the ...

A startup called TensorStax says it’s looking to bring artificial intelligence-powered automation to the unyielding world of data engineering after raising $5 million in seed funding. Today’s round ...

The landscape of software development has undergone a significant transformation, with data engineering emerging as a crucial discipline while traditional back-end engineering roles evolve. This is ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

Einat Orr is the cofounder and CEO of Treeverse, the team behind lakeFS. She is an engineering leader and holds a PhD in mathematics. It might sound counterintuitive, but an economic downturn can be ...

The latest trends in software development from the Computer Weekly Application Developer Network. Let’s have some fun and compare evaluating an AI model is a bit like judging an Olympic athlete. Just ...