The exponential growth of data has challenged traditional databases, particularly with unstructured and semi-structured data, leading to the rise of NoSQL databases like Amazon DynamoDB, which offers flexible storage without fixed schemas. Amazon DynamoDB is a fully managed NoSQL service by AWS, known for its low-latency and high-throughput performance, automatically distributing data across servers to meet scalability and throughput demands, supporting both key-value and document data models. The text outlines a tutorial on migrating data from PostgreSQL to DynamoDB using Debezium and Kafka Connect, highlighting the setup of various components like Redpanda and Kafka Connect instances, configuration of connectors, and the eventual data pipeline from PostgreSQL to DynamoDB. Companies like Lyft, Snapchat, and Capital One use DynamoDB for handling diverse data types, scalability, and rapid development needs, illustrating its practical applications in big data scenarios. The tutorial emphasizes the seamless scalability and flexibility of DynamoDB, especially for applications requiring rapid development and diverse data types, showcasing a practical migration example for a delivery company anticipating increased data loads.