Nilanjan Chatterjee has submitted a new session! Who Needs a Warehouse When You've Got a Lakehouse? The data scene has seen a big change in recent years, moving from old-fashioned data warehouses to more easy and strong lakehouse architectures. This switch means not just a technical advancement but a basic rethinking of how groups keep, handle, and get value from their data assets.The traditional data warehouse worked well with structured data because there was a defined schema, consistency, and strong BI performance. The high costs and inflexibility of such warehouses meant that they were not suitable for handling unstructured data- much less a large volume of such unstructured data.This is what gave birth to the data lake: an inexpensive place to store enormous volumes of highly variegated datasets-with schema-on-read flexibility. It then often turned into the "data swamp" due to quality issues, analytical performance shortcomings, and governance issues.Then came the lakehouse architecture, a brilliant amalgamation that took unto it the strengths of both warehouse and lake. Open session [https://sessionize.com/app/organizer/session/19661/932740] These notifications can be turned off on Edit event [https://sessionize.com/app/organizer/event/edit/19661#_tab-advanced] page. Tip: You've used Classic (confer***@***orysql.org) to login. You're receiving this message because you had joined event 'HOW2025' on Sessionize. Sessionize.com, PO Box 6945, Unit 34564, London W1A 6US, UK