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Announcing GA of Predictive I/O for Updates: Faster DML Queries, Right Out of the Box

November 2, 2023 by Sirui Sun, Ala Luszczak, Sabir Akhadov, Andreas Chatzistergiou, Carmen Kwan, Ole Sasse, Tom van Bussel, Lars Kroll, Pengfei Xu, Polo-François Poli, Bart Samwel, Himanshu Raja, Christos Stavrakakis, Venki Korukanti, Tathagata Das and Nicolas Poggi in Platform & Products & Announcements
Announcing GA of Predictive I/O for Updates, which harnesses Photon and AI atop Deletion Vectors in order to significantly speed up MERGE, UPDATE and DELETE operations. We've prevented over 15 trillion unnecessary row writes, and we’re just getting started.

Announcing the Public Preview of Predictive I/O for Updates

April 25, 2023 by Piyush Revuri, Bart Samwel, Ala Luszczak, Lars Kroll, Polo-François Poli, Frank Munz and Himanshu Raja in Platform Blog
Previously, we’ve shown you how a new technology called Predictive I/O could improve selective reads by up to 35x for CDW customers without...

Announcing Photon Public Preview: The Next Generation Query Engine on the Databricks Lakehouse Platform

June 17, 2021 by Greg Rahn, Alexander Behm, Ala Luszczak and Cyrielle Simeone in Platform Blog
Databricks Photon is now generally available on AWS and Azure. Today, we're excited to announce the availability of Photon in public preview. Photon...

Processing a Trillion Rows Per Second on a Single Machine: How Can Nested Loop Joins be this Fast?

February 16, 2017 by Reynold Xin, Ala Luszczak and Bogdan Raducanu in Engineering Blog
This blog post describes our experience debugging a failing test case caused by a cross join query running “too fast.” Because the root...