使用 Databricks DQX 提升数据质量标准.pdf

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1、Marcin WojtyczkaNeha MilakAlex OttData+AI Summit,June 2025Elevating Data Quality Standards With Databricks DQXForward-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 informat

2、ion.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”,“should”,“expects

3、”,“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 information available at

4、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 performance or o

5、utcomes.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.3About UsDQX Co-Author&ContributorSenior Resident Solutions Architect at Databricks(Profes

6、sional Services)Love Software and Data EngineeringOpen Source ContributorExpedition sailorMARCIN WOJTYCZKAAbout UsDQX ContributorResident Solutions Architect at Databricks(Professional Services)Loves Architecting,Implementing and Fine tuning Data Platforms with specialization in Data Quality GlobeTr