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Automate work / NEW IN 3.0

Bring exported data back into DynamoDB.

Prepare an S3 import with format detection and support for converting Dynobase exports into a compatible import format. Review the destination before starting the import.

See how it works
Dynobase's S3 import workflow with input format and destination settings.
Dynobase's S3 import workflow with input format and destination settings. Dynobase 3.0 with demo data.

Identify the input format

Use format detection to distinguish supported data formats before configuring the import, rather than guessing from a file extension.

Reuse Dynobase exports

Convert supported Dynobase export data for the S3 import workflow, with the required format made explicit.

Review the target table

Configure the new table's name and keys and inspect the import request before submitting it to AWS.

IN THE APP

How it works

Open Dynobase and follow these steps to use s3 import and format detection.

  1. 01

    Open the S3 import workflow

    Start the import flow and choose the S3 source or supported conversion path for your exported data.

  2. 02

    Review format and schema

    Check the detected or selected format, source location and destination table key definitions.

  3. 03

    Start the import

    Review the settings, confirm the import request and inspect the operation's status.

Questions, answered.

Can I import into an existing table with this AWS workflow?

No. S3 import is for creating a new table. Dynobase's regular item import is a separate path for an existing table.

Does detecting the format guarantee a valid import?

No. Check the source, compression, key types and data shape. AWS can still reject malformed or incompatible input.

Your DynamoDB workflow, in one app.

Explore the tools in Dynobase 3.0.

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