Interactive Demo to Connect DynamoDB to S3 Using Hevo

Steps to Connect DynamoDB to S3 Easily

Step 1: Configure DynamoDB as your source.

  • Click on the ‘Create Pipeline’ button.
  • Search for ‘DynamoDB’ and select it.
  • Fill in the connection details required to connect to the DynamoDB account.
  • Finally, click ‘Test & Continue.’

You can learn more about DynamoDB through their official website.

Step 2: Configure Objects

  • Select the objects you want to replicate to your destination.
  • Click on ‘Continue’ to move ahead.

Step 3: Configure S3 as your destination

  • Select ‘S3’ as your destination.
  • Fill in the required connection details, such as Access Key ID, Secret Access Key, Bucket Name, Bucket Region.
  • Now, click on ‘Save & Continue.’

Step 4: Final Step

  • Give a suitable Table prefix.
  • For the final step, click ‘Continue.’

and that’s it! Within minutes, you have created a pipeline to migrate your data from DynamoDB to S3!

Frequently Asked Questions

1. How to backup DynamoDB table to S3?

Use AWS Data Pipeline or AWS Backup to export DynamoDB data to an S3 bucket. You can also use AWS DynamoDB’s “Export to S3” feature directly in the console.

2. How long does Dynamo export to S3 take?

Export time depends on the table size and AWS workload, but it usually takes a few minutes to several hours for large tables.

3. How to use S3 and DynamoDB?

Use S3 to store files and unstructured data and DynamoDB for fast database operations on structured data. You can combine both by linking S3 files with DynamoDB records.

Kamlesh
Full Stack Developer, Hevo Data

Kamlesh Chippa is a Full Stack Developer at Hevo Data with over 2 years of experience in the tech industry. With a strong foundation in Data Science, Machine Learning, and Deep Learning, Kamlesh brings a unique blend of analytical and development skills to the table. He is proficient in mobile app development, with a design expertise in Flutter and Adobe XD. Kamlesh is also well-versed in programming languages like Dart, C/C++, and Python.