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          Ingest Data by Uploading a File

          Ingest Data by Uploading a File

          Create a data stream by bringing in data from a local CSV file into Data 360.

          Required Editions

          Available in: All Editions supported by Data 360. See Data 360 edition availability.
          User Permissions Needed
          To upload data using a file

          Permission set:

          • Data Cloud Architect

          Before you upload data make sure that your file is less than 100MB and that it has a maximum of 100 columns. We also recommend that you use the four-digit (“yyyy”) format for date and time records that include a year. When data from an ingested file uses the two-digit (“yy”) format, additional date and time pattern rules for the “year” are applied. This can result in an unexpected date value.

          Watch this video or follow the steps to use this feature.

          1. In Data Cloud, go to the Data Streams tab and click New.
          2. Select the File Upload tile, and click Next.
            Click the File Upload tile to upload a local file.
          3. Select the CSV file with your data.

            You can upload up to 100 MB.

          4. Specify your data lake object (DLO), and API name.
            Name the new DLO and API.
          5. In the Properties section, select the category for your data stream and primary key.
            Set properties for the new data stream.
          6. To change a field's data type, click the Supported Fields tab.
            Use the Supported Fields tab to change a field's data type.
          7. Click Next.
          8. (Optional) If needed, change the data stream name. The data stream uses the uploaded file name.
          9. (Optional) If needed, choose a data space and set filters.
          10. To create your data stream, click Deploy. This ingests your data into the DLO.
            Specify data settings to create a new data stream.
            Important
            Important

            You can create a maximum of 100 data streams and DLOs from file uploads.

            Note
            Note

            If you upload a file to the data stream and no records are visible after the upload, check if there are null values in the primary key column of the file. If the column contains null values, remove them from the file and upload it again.

          • Data Stream Updates Using File Upload
            Update the data of an existing data stream created using File Upload. Quickly update your data by re-uploading the revised CSV file with added or removed records. Updating data replaces the data that was previously stored in the associated Data Lake Object (DLO). It also ensures that the data stream is always current with the latest information.
           
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