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# Purview Custom Connector Solution Accelerator
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Azure Purview is a unified data governance service that helps you manage and govern your on-premises, multi-cloud, and software-as-a-service (SaaS) data. Azure Purview Data Map provides the foundation for data discovery and effective data governance, however, no solution can support scanning metadata for all existing data sources or lineage for every ETL tool or process that exists today. That is why Purview was built for extensibility using the open Apache Atlas API set. This API set allows customers to develop their own scanning capabilities for data sources or ETL tools which are not yet supported out of the box. This Solution Accelerator is designed to jump start the development process and provide patterns and reusable tooling to help accelerate the creation of Custom Connectors for Azure Purview.
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Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multi-cloud, and software-as-a-service (SaaS) data. Microsoft Purview Data Map provides the foundation for data discovery and effective data governance, however, no solution can support scanning metadata for all existing data sources or lineage for every ETL tool or process that exists today. That is why Purview was built for extensibility using the open Apache Atlas API set. This API set allows customers to develop their own scanning capabilities for data sources or ETL tools which are not yet supported out of the box. This Solution Accelerator is designed to jump start the development process and provide patterns and reusable tooling to help accelerate the creation of Custom Connectors for Microsoft Purview.
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The accelerator includes documentation, resources and examples to inform about the custom connector development process, tools, and APIs. It further works with utilities to make it easier to create a meta-model for your connector (Purview Custom Types Tool) with examples including ETL tool lineage as well as a custom data source. It includes infrastructure / architecture to support scanning of on-prem and complex data sources using Azure Synapse Spark for compute and Synapse pipelines for orchestration.
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До Ширина: | Высота: | Размер: 136 KiB После Ширина: | Высота: | Размер: 136 KiB |
До Ширина: | Высота: | Размер: 536 KiB После Ширина: | Высота: | Размер: 536 KiB |
До Ширина: | Высота: | Размер: 628 KiB После Ширина: | Высота: | Размер: 628 KiB |
До Ширина: | Высота: | Размер: 310 KiB После Ширина: | Высота: | Размер: 310 KiB |
До Ширина: | Высота: | Размер: 157 KiB После Ширина: | Высота: | Размер: 157 KiB |
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<!--![TAG DB Folder Structure](../../docs/images/tag_db_folder_structure.svg)-->
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1.1 'tag-db-xml' - Location of the xml file exported from the TAG DB that will be used to load the tag db metadata into Azure Purview
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1.2 'tag-db-json' - Location where will be generated the conversion of the xml into a json format to be used to load meta data into Azure Purview
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1.1 'tag-db-xml' - Location of the xml file exported from the TAG DB that will be used to load the tag db metadata into Microsoft Purview
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1.2 'tag-db-json' - Location where will be generated the conversion of the xml into a json format to be used to load meta data into Microsoft Purview
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1.3 'tag-db-purview-json' - Location where the 'TAG DB Scanner' generate the json file to be loaded int o operview
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1.4 'tag-db-proccessed' - Loacation where all files processed by 'TAG DB Scanner' will put all files processed by the solution.
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