Tag: low-code

In 2026, you cannot scroll LinkedIn for five minutes without finding a post declaring "ETL is dead, ELT and AI have replaced it." It sounds compelling. It is also wrong.

The world is awash in data, yet we struggle to fully capitalize on its potential due to a severe shortage of skilled professionals. A significant mismatch persists between the demand for data scientists and analysts and the available talent pool.