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Create a Data Pipeline with Data Transforms in Autonomous Database Data Studio [PRSH2978].pdf

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1、Create a Data Pipeline with Data Transforms in Autonomous Database Data StudioJayant Mahto,Autonomous Database Product ManagementSeptember 10,2024Oracle CloudWorld Copyright 2024,Oracle and/or its affiliates1AgendaOracle CloudWorld Copyright 2024,Oracle and/or its affiliates2Introduce Data Transform

2、sData sourcesHigh performance architectureODI to Data Transforms migration serviceDemoHow to create data pipelineGlimpse of immediate futureModern Data Platform pillars3DataVirtualizationAmazon GlueData CatalogsData Lake File FormatsData integrationsourcesData SharingSecure object store accessModern

3、 Data Platform pillars4Data integrationsourcesDataVirtualizationAmazon GlueData CatalogsData Lake File FormatsData SharingSecure object store accessOracle CloudWorld Copyright 2024,Oracle and/or its affiliates5Load data from any sourceTransform data to support any business needBuilt-in tool in Auton

4、omous DatabaseAlso available in OCI GoldenGateserviceData sources and targetsOracle CloudWorld Copyright 2024,Oracle and/or its affiliates6Classifying data sources for simplificationData source type and formatsDatabasesApplicationsFiles/formatsWeb Services/REST/CustomBulkIncrementalRealtimeStreaming

5、InitialData movement mode Target platformSorry,it was hard to fit all the data sources in one slide.AutonomousData WarehouseAutonomousTransactionProcessing ATPExadataCloudAny on-premises Oracle DB 11.2.0.4+Any GoldenGate on-premisesOCI MySQL DB ServiceOCI StreamingAutonomousJSON DBOCI Object Storage

6、ADW Stage-Mergew/Obj StoreAny on-premises Oracle DB 11.2.0.4+OCI GoldenGate DeploymentsOCI Object StorageReal-time Sources/TargetsReal-time TargetsBulk Data Transforms Sources&TargetsData sources and targetsNote:Data Transforms integrates with GoldenGate service for real-time requirementData process

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本文主要介绍了在Oracle Autonomous Database Data Studio中创建数据管道和数据转换的方法。文章提到了现代数据平台的关键支柱,包括数据虚拟化、数据集成、数据湖、文件格式和数据共享等。Oracle Autonomous Database提供了从任何数据源加载数据和将数据转换为支持任何业务需求的功能。数据源和目标包括各种数据库、应用程序、文件/格式、Web服务/REST/自定义等。数据处理架构为提取-加载-转换(E-L-T),它具有优化性能的灵活架构,可利用基于集合的转换、减少网络跳数,并提高加载性能。Oracle还提供了一个迁移服务,帮助现有Oracle Data Integrator(ODI)客户迁移到Data Transforms。文章中还提到了一些即将推出的新功能,如向量嵌入用于相似搜索、加载到Iceberg表和SQL到图形数据流等。最后,文章提供了一些资源,包括视频、博客和现场实验室,以帮助用户开始使用Oracle Autonomous Database和Data Transforms。
"如何利用Autonomous Database进行数据转换?" "Autonomous Database中的数据源和目标有哪些?" "如何构建现代化的数据平台?"
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