What is a Modern Data architecture?

Many organizations are moving their data from various silos into a data lake, where they have a single place to apply machine learning and analytics. The vast majority of data lakes are built on Amazon Simple Storage Service (Amazon S3). At the same time, customers are leveraging purpose-built analytics stores that are optimized for specific use cases. Customers want the freedom to move data between their centralized data lakes and the surrounding purpose-built analytics stores in a seamless, secure, and compliant way, to get insights with speed and agility. We call this modern approach to analytics Modern Data architecture. 

Modern Data architecture on AWS

Modern Data architecture is an evolution from data warehouse and data lake-based solutions. The following table lists this evolution from data and performance characteristics.

Table 1: Evolution of data and analytics architectures to Modern Data

	Data warehouse	Data lake	Modern Data
Data	Relational data from transactional systems, operational databases, and line of business applications	All data, including structured, semi-structured, and unstructured	Modern Data is the next step of the evolution that enables querying data across data warehouse, data lake, and databases
Performance	Fastest query results using local storage	Query results getting faster using low-cost storage and decoupling of compute and storage	Faster and deeper insights without moving data