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Lakeflow Connect 入门.pdf

上传人: Fl****zo 编号:718702 2025-06-22 53页 4.84MB

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.2Getting Started with Lakeflow ConnectGiselle Goicochea,Peter Pogorski6/10/2025Efficient data ingestion into your lakehouseWho Are We?Lakeflow Connect product marketing leadPreviously PMM at AWSLakefl

6、ow Connect product managerPreviously PM at MicrosoftGiselle GoicocheaSr.Product Marketing Manager/DatabricksPeter PogorskiSr.Product Manager/Databricks4Agenda5Current Data Ingestion LandscapeCommon challenges and needsWhat is Lakeflow Connect?Efficient data ingestion into your lakehouseDemoSpark Pap

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本文主要介绍了Databricks的Lakeflow Connect产品,它是一个高效的数据摄取工具,旨在简化数据进入湖仓(lakehouse)的过程。 - **产品定位**:Lakeflow Connect专为信息摄取设计,提供“点选”UI或API,支持各种数据源,如SaaS应用和数据库。 - **关键特性**:支持增量读取和写入,转换,易于设置,维护成本低,且与Databricks的其他工具集成。 - **数据安全**:数据在传输和静止状态下都是加密的,且完全集成于Databricks的数据智能平台,具有统一治理和可观察性。 - **应用场景**:文章举例了多个应用场景,如Salesforce、Workday、Google Analytics等,展示了如何通过Lakeflow Connect进行高效数据摄取。 - **产品路线图**:Lakeflow Connect计划扩展更多数据源连接器,并增加如查询下推、访问控制列表(ACL)摄取等功能。 - **定价模型**:基于计算力的简单定价模型,使用Delta Live Table管道从源提取数据并加载到湖仓中,按消耗的DBU计费。 - **常见问题**:文章最后列出了一些常见问题,包括产品覆盖范围、工作原理、数据加密等,并提供相应解答。 总体而言,Lakeflow Connect作为Databricks的数据摄取解决方案,强调其易用性、安全性和高效性,旨在简化数据工程师的工作流程,提高数据洞察力。
"Lakeflow Connect神奇在哪?" "如何轻松实现数据高效导入?" "新连接器有哪些惊艳功能?"
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