Understanding data capture with Amazon S3

Document capture or ingestion is a process to aggregate all our data in a secure, centralized, scalable data store. While building a data capture stage for your IDP pipeline, you have to take data sources, data format, and a data store into consideration.

Data store

The first step is to store our documents for transformation. To store documents, we can use any type of document store, such as a local filesystem or Amazon S3. For this IDP pipeline, we will be leveraging AWS AI services, and we recommend, for an easier, more secure, and more scalable document store, to leverage Amazon S3, an object storage service that offers industry-leading scalability, data availability, security, and performance. Amazon S3 has 11 9s of durability, and millions of customers all around the world leverage Amazon S3 for their data store.

Many regulatory industries, such as GE Healthcare, use Amazon S3 for data storage during their digital transformation...