Extracting data from Data Lake

To retrieve the data in Data Lake you must use one of the available methods of extraction.

Select the technology or technologies that best align your needs.

These methods are provided:

  • Data Fabric application pages
  • Data Fabric APIs & JDBC Driver
  • Extraction through Data Lake flows

Data Fabric application pages

The pages in the Data Fabric application are used for incidental activities. For example: browsing the Data Lake to see which data is there, checking whether the status is OK, troubleshooting, trying out new queries, and so on.

See these pages:

  • Atlas page
    • Browse the data as sent to Data Lake, look at the ‘raw’ data, check properties such as date/times or sender logical ID.

    • This method is available for all document types.

    • For details, see Atlas

  • Compass page
    • Explore the data through querying, with options to select specific properties, join data, filter data using a where clause, etc.

    • This method is only available for ‘flat’ data in DSV or newline-delimited JSON format.

    • The page has an option to download the result set.

    • For details, see Compass

Data Fabric APIs & JDBC Driver

Various methods are available for automated processing, application integration, regular data extraction and so on.

See these methods:

  • Compass API
    • Send queries and retrieve the results through the ION API gateway, with options to select specific properties, join data, filter data using a where clause, etc.

    • This method is only available for ‘flat’ data in DSV or newline-delimited JSON format.

    • For details, see Using Compass query APIs.

  • Data Lake API
    • Retrieve data objects through the ION API gateway. Filtering capabilities are limited, and the data objects are retrieved as is.

    • This method is available for all document types.

    • Using the data object retrieval APIs

  • Compass JDBC driver

Extraction through ION Data Lake flows

Infor ION provides the option to use Data Lake as the starting point for a data flow.

Data Lake flows:

  • Sending new data objects from Data Lake to any destination through ION connectors, using modeled data flows.
  • This method is available for all document types.
  • For details on how to model Data Lake flows, see the Infor ION Desk User Guide.