Serverless Data Management on AWS

Businesses generally utilize systems that collect and store user information, along with transaction data, inside databases. One good example of this would be an e-commerce startup that has a web application where customers can create an account and use their credit card to make online purchases. The user profiles, transaction data, and purchase history stored in several production databases can be used to build a product recommendation engine, which can help suggest products that customers would probably want to purchase as well. However, before this stored data is analyzed and used to train machine learning (ML) models, it must be merged and joined into a centralized data store so that it can be transformed and processed using a variety of tools and services. Several options are frequently used for these types of use cases, but we will focus on two of these in this chapter – data warehouses and data lakes.

Data warehouses and data lakes...