利用 Databricks Notebooks 提升数据科学和 AI 生产力.pdf

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1、Forward-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 herein are made as of the date of this presentation unless stated otherwise.This pres

2、entation 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”,“could”,“intends”,“projects”,“believes”,“estimates”,“predicts”,or“continue”,or the neg

3、ative 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 are made and are inherently subject to risks and uncertainties that could cause actu

4、al 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 by law,Databricks does not undertake any obligation to publicly update or revise an

5、y forward-looking statement,whether as a result of new information,future developments or otherwise.2Boosting Data Science and AI ProductivityProductivitywith Databricks NotebooksDr.Vijay Raghavan,Jason CuiJune 2025So what is a notebook again?4The Databricks NotebookThe front door of the Data Intell

6、igence Platform The go to place for exploratory data analysis,data engineering,building datasets for ML models,and more Simple,multi-language,collaborative,intelligent,flexible,and production ready environment for data workloadsModern,intuitive UXInfused with IntelligenceBringing your favorite IDE f