![]() ![]() ![]() Structured file formats supported by extension: AVRO, ORC, PARQUET, CSV, JSON, PSV, SSV, TSV, TXT, XML, GZIP.The following file types are supported for scanning, for schema extraction, and classification where applicable: Microsoft Purview Data Map scanner regions If your Azure data source is in a region outside of this list, the scanner will run in the region of your Microsoft Purview instance. The following is a list of all the Azure data source (data center) regions where the Microsoft Purview Data Map scanner runs. For example, JDK, Visual C++ Redistributable, or specific driver.įor your source, refer to each source article for prerequisite details.Īny requirements will be listed in the Prerequisites section. If you plan on using a self-hosted integration runtime, scanning some data sources requires additional setup on the self-hosted integration runtime machine. * Besides the lineage on assets within the data source, lineage is also supported if dataset is used as a source/sink in Data Factory or Synapse pipeline. CategoryĪzure Dedicated SQL pool (formerly SQL DW) Select the data source, or the feature, to learn more. The table below shows the supported capabilities for each data source. Microsoft Purview Data Map available data sources This article discusses currently supported data sources, file types, and scanning concepts in the Microsoft Purview Data Map.
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