大规模增量冰山表复制.pdf

1、Incremental Iceberg Table Replication At ScaleSzehon Ho&Hongyue ZhangJune 11,20251Forward-looking StatementThis presentation has been prepared for informational purposes only.The information set forth herein does not purport to be complete or contain all relevant information.Statements contained her

2、ein are made as of the date of this presentation unless stated otherwise.This presentation and the accompanying oral commentary may contain forward-looking statements.In some cases,forward-looking statements can be identified by terms such as“may”,“will”,“should”,“expects”,“plans”,“anticipates”,“cou

3、ld”,“intends”,“projects”,“believes”,“estimates”,“predicts”,or“continue”,or the negative of these words or other similar terms or expressions that concern Databricks expectations,strategy,plans,or intentions.Forward-looking statements are based on information available at the time those statements ar

4、e made and are inherently subject to risks and uncertainties that could cause actual results to differ materially from those expressed in or suggested by the forward-looking statements.Forward-looking statements should not be read as a guarantee of future performance or outcomes.Except as required b

5、y law,Databricks does not undertake any obligation to publicly update or revise any forward-looking statement,whether as a result of new information,future developments or otherwise.2Complete Your SurveysYou will receive a survey for each session attendedOpen the Databricks Events app and select“My

6、Surveys”from the menuSurveys can also be submitted in the Attendee Portal3Your feedback has a direct impact on Data+AI Summit content Designed for huge analytic datasets Upgrades data lakes on top of object stores to perform and act like data warehouses Community Driven Apache Software Foundation Bu