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Lakeflow Connect:复杂事件驱动架构的变革者.pdf

上传人: Fl****zo 编号:718654 2025-06-22 54页 20.75MB

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.2Tim Bal,Jeroen De Clercq-delawareGiancarlo Costa-EFSAJune 912,2025LakeFlow Connect:The Game-Changer for Complex Event-Driven ArchitecturesAgenda4IntroductionSpeakersEFSAGiancarlo Franco CostaCurrent

6、architectureTim BalLakeFlow ConnectJeroen De ClercqINTRODUCTIONSpeakersSpeakers6Whos who?Tim BaldelawareSenior ConsultantJeroen De ClercqdelawareBusiness AnalystGiancarlo CostaEuropean Food Safety AuthorityCloud Solutions ArchitectEFSAEuropean Food Safety AgencyESTABLISHED2002572staff650experts1,600

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本文主要内容是关于EFSA(欧洲食品安全局)在2025年采用的新架构LakeFlow Connect的介绍。以下是关键点: 1. 文章开头声明了前瞻性陈述,提醒读者相关信息可能不完整,包含风险和不确定性。 2. EFSA的现有架构在2020年采用了集中数据处理平台,但存在实时性、数据一致性和边缘情况处理等问题。 3. 新架构LakeFlow Connect的核心目标是提高分析可靠性、历史追踪(SCD2)。 4. LakeFlow Connect通过与Databricks和Azure Data Factory的集成,实现了更高效的增量数据摄取和几乎零成本的历史追踪。 5. 新架构使用了Terraform进行云资源的管理和部署,支持IaaS,实现云平台无关的解决方案。 核心数据引用: - EFSA自2002年成立以来,拥有572名员工,650名专家,每年举行约1600场虚拟会议,自2003年以来发布9300项科学研究成果。 关键点分条列出: - EFSA现有架构的问题:实时性差,数据不一致,边缘情况处理复杂。 - LakeFlow Connect的优势:提高数据摄取效率,简化历史追踪,增强系统健壮性。 - 使用Terraform进行云资源管理,实现云平台无关部署。
"LakeFlow Connect神奇之处?" - 揭秘EFSA如何通过LakeFlow Connect改变复杂事件驱动架构的游戏规则? "SCD2历史追踪利器?" - 了解Databricks如何简化缓慢变化维度类型2(SCD2)数据的完整历史追踪? "Terraform云平台部署秘籍?" - 探索Terraform在Databricks和Azure环境中如何高效实现基础设施资源的创建与管理?
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