Lakeflow Connect：无缝提取企业应用程序数据.pdf

1、Lakeflow Connect:Seamless Data Ingestion From Enterprise AppsAndreas Maier Porsche HoldingManish Dalwadi DatabricksJune 10,2025Forward-looking statementThis presentation has been prepared for informational purposes only.The information set forth herein does not purport to be complete or contain all

2、relevant information.Statements contained herein 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”,

3、“should”,“expects”,“plans”,“anticipates”,“could”,“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 informat

4、ion available at the time those statements are 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

5、 performance or outcomes.Except as required by 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.3AgendaLakeflowUnified data engineering solution for ingestion,transforma

6、tion and orchestrationLakeflow ConnectEfficient data ingestion for everyoneSaaS connector deep-diveLifting the hood on architecture,security,and moreDemoLakeflow Connect in actionClosing recommendationsHow to hit the ground running with your own use casesCustomer Deep Dive:Porsche HoldingReal-world