![]() Create Tables in DynamoDB using Boto3įirst, import the boto3 module and then create a Boto3 DynamoDB resource. Now, as soon as the concepts of designing DynamoDB tables are covered, you may take a look at how to start working with this service in Python by using the Boto3 library. Regardless of your current experience I highly recommend you a couple of videos on that topic before getting started: The most interesting topic of DynamoDB is how to design your tables to get maximum performance and efficiency from DynamoDB service. Introduction to Amazon DynamoDBĪmazon DynamoDB enables the building of flexible microservices, serverless web applications, mobile backends, and it acts as the highly scalable and fully managed database for applications. To start working with DynamoDB using Python, you need to first set up your Python environment.Īlternatively, you can quickly set up and use Cloud9 IDE. Creating a Global Secondary Index using Boto3.CRUD Operations in DynamoDB using Boto3.
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