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Welcome to another episode of Back to Basics. Im Cheryl Joseph, and I am a solutions architect at Amazon Web Services. So today I want to talk to you regarding some streaming options to capture item level changes in Amazon DynamoDB. I want to show you some architecture patterns to build and event-driven, scalable, and a serverless approach to capture changes as theyre occurring in a DynamoDB table. So let me first familiarize you with DynamoDB. Amazon DynamoDB is a fully managed, no SQL database service that provides fast and predictable performance with seamless scalability. So similar to other database systems, DynamoDB stores data and tables. A table is a collection of data, and each table contains items. An item is a group of attributes. So for example, in a customer table, each item represents an individual customer, or in a product table, each item represents an individual product. Items in DynamoDB are similar in many ways to rows, records, or tuples i