The Azure Data Lake Connector will crawl content from an Azure Data Lake Storage Gen2 at either all file systems or specified file system and paths.
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Azure Data Lake Storage is a comprehensive, scalable, and efficient data lake solution designed for big data analysis and it provides a hierarchical filesystem. It brings the capabilities of Azure Data Lake Storage Gen1 together with the Azure Blob storage.
For more information about the Azure Data Lake Storage Gen 2, see the official Microsoft Overview of Azure Data Lake Storage Gen2 documentation.
The Azure Data Lake Connector supports crawling the following repositories
Repository | Version | Connector Version |
---|---|---|
Azure Data Lake Storage | Gen 2 | 5.1 |
Before installing the Azure Data Lake connector, make sure that:
In order to access the Azure Data Lake, an Application Account with sufficient privileges must be supplied. The following fields must be configured in order to set up a new Data Lake connection:
Following are the steps on how to get the required credentials:
Name | Supported |
---|---|
Content Crawling | Yes |
Identity Crawling | YesUse Azure Identity Connector |
Snapshot-based Incrementals | Yes |
Non-snapshot-based Incrementals | No |
Document Hierarchy | Yes |
The Azure Data Lake connector has the following features:
The Azure Data Lake connector is able to crawl the following objects:
Name | Type | Relevant Metadata | Content Fetch and Extraction | Description |
---|---|---|---|---|
File System | container | N/A | Contains Folders and files | |
Folders | container | N/A | The directories of the files. Each directory will be scanned to retrieve more subfolders or documents | |
Files | document | Yes | Files stored in folders/subfolders |