3146 - 如何在数据湖屋环境中处理 z 数据.pdf

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1、Sponsored byData Technical Summit IBM TechXchange 2025How to work with z data in data lakehouse environmentsSession Id:Session Id:3146Vassil Dimov IBM,Lead Architect AI Optimizer for ZImportant disclaimersReferences in this presentation to IBM products,programs,or services do not imply that they wil

2、l be available in all countries in which IBM operates.Product release dates and/or capabilities referenced in this presentation may change at any time at IBMs sole discretion based on market opportunities or other factors and are not intended to be a commitment to future product or feature availabil

3、ity in any way.Nothing contained in these materials is intended to,nor shall have the effect of,stating or implying that any activities undertaken by you will result in any specific sales,revenue growth,or other results.All client examples described are presented as illustrations of how those client

4、s have used IBM products and the results they may have achieved.Actual environmental costs and performance characteristics may vary by client.IBM Corporation 2025.All Rights Reserved.All Rights Reserved.IBMs statements regarding its plans,directions and intent are subject to change or withdrawal wit

5、hout notice at IBMs sole discretion.Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision.The information mentioned regarding potential future products is not a commitment,promise,or legal o

6、bligation to deliver any material,code or functionality.Information about potential future products may not be incorporated into any contract.The development,release,and timing of any future features or functionality described for our products remains at our sole discretion.Agenda010203040506The mai