Data science
fromInfoQ
15 hours agoData Mesh in Action: A Journey From Ideation to Implementation
Data mesh is essential for organizations to develop independent data analytics capabilities after separation from larger parent companies.
The hard part is making hundreds of decisions that won't quietly compound into outages, cost blowouts, security gaps, or organizational gridlock. That's why, even when organizations are moving from cloud to cloud or swapping one set of managed services for another, they still need deep planning capabilities.
"Certifications are shifting from a checkbox to a compass. They're less about proving you memorized syntax and more about proving you can architect systems, instruct AI coding assistants, and solve problems end-to-end," says Faizel Khan, lead AI engineer at Landing Point, an executive search and recruiting firm. "In the AI era, fewer students will get trained on the job, which means they have to train themselves," Khan says. "Certifications-especially architectural ones like AWS, Kubernetes, Terraform-are still the clearest path to do that."