Most data teams are having the wrong conversation about modernization.
Migration gets framed as a cost reduction exercise. Data sharing gets treated as an IT compliance checkbox. Both miss the point entirely.
Databricks published two strong reads this month that cut through the noise:
The migration piece busts 10 myths -- the biggest being that it's just a SQL conversion project. Validation alone can consume 50-60% of total effort. The real prize isn't lower cloud spend; it's unlocking AI on governed, consolidated data.
The data sharing guide puts a number on what's at stake: CDOs who successfully execute sharing initiatives are 1.7x more effective at demonstrating business value. Yet 56% of enterprises still haven't cleared the privacy and compliance hurdle to get there.
The connection: you cannot build an AI-ready organization on a data estate you cannot migrate or share safely. These are the same problem.
For data professionals in Bangladesh -- whether you're advising clients or building internal platforms -- this is the foundation work that separates organizations that win with data from those that don't.
What's driving your migration or sharing decisions right now -- AI-readiness, cost, or something else?
