[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-08-19 (世界標準時間)。"],[[["\u003cp\u003eManaged connectivity pipelines facilitate the import of metadata from various third-party sources into Dataplex at scale.\u003c/p\u003e\n"],["\u003cp\u003eUsers can create custom connectors to extract metadata from sources like MySQL, SQL Server, Oracle, Snowflake, and Databricks.\u003c/p\u003e\n"],["\u003cp\u003eThe managed connectivity pipeline uses Dataproc Serverless to run connectors and imports the metadata into Dataplex Catalog.\u003c/p\u003e\n"],["\u003cp\u003eThe pipeline automatically creates Dataplex Catalog entry groups if they don't exist, and then runs the connector to extract and import metadata.\u003c/p\u003e\n"],["\u003cp\u003eThe workflows used in the pipelines allow for the scheduling and orchestration of metadata import jobs based on user needs.\u003c/p\u003e\n"]]],[],null,[]]
