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Version: 0.0.39

Apache Iceberg

Apache Iceberg is a high-performance format for huge analytic datasets, designed for ease of use and maintenance. Integrating Apache Iceberg with Lakehousecat enables efficient data management and retrieval from Iceberg tables directly. This guide provides instructions on setting up an Apache Iceberg connection within the Lakehousecat workspace.

Prerequisites​

Ensure you have the following before commencing the integration process:

  • Access to Lakehousecat as an admin or builder
  • Valid Access Key and Secret Access Key for Apache Iceberg
  • The Endpoint URL for connecting to Iceberg tables

Step-by-Step Guide​

  1. Start in the Workspace

    • Navigate to your Lakehousecat workspace to manage data connections.

  2. Go to the Data Section

    • Click on the 'Data' menu for various data-related options within Lakehousecat.

  3. Select "Datasource Types"

    • Check available data sources by selecting the "Datasource Types" option.

  4. Choose "Apache Iceberg Datasource Type"

    • Click on the "Apache Iceberg Datasource Type" to initiate the setup process.

Step 3: Configure the Apache Iceberg Connection​

  • Connection Name: Enter a clear and descriptive name for your connection. This name will identify the connection across Lakehousecat.
  • Endpoint URL: Input the Iceberg Endpoint URL, including the table name you wish to access. Ensure the URL is complete and correct for successful connectivity.
  • Access Key & Secret Access Key: Configure these keys accurately to authenticate your access.
  • Description (Optional): Add an optional description to help other administrators understand the scope or purpose of this connection.

Step 4: Validate and Create the Connection​

  1. After entering the necessary details, click on the Create button.
  2. Lakehousecat will validate the connection parameters. Ensure all information is correct to prevent validation errors.
  3. Once validation succeeds, your Apache Iceberg connection will be established and ready for use.

Best Practices​

  • Naming Conventions: Adopt a consistent naming scheme for connection names for improved recognizability and management.
  • Description Usage: Use the description field to provide insights into the connection’s intended use, especially if there are multiple connections.

Troubleshooting​

If issues arise during the connection setup:

  • Validation Errors: Double-check the Endpoint URL and ensure it's accurate.
  • Access Issues: Verify you have the necessary permissions within Lakehousecat and the Apache Iceberg service.

By following these steps, you can seamlessly integrate Apache Iceberg into your Lakehousecat environment, enabling efficient management of analytic datasets.