The modern data stack (MDS) refers to a modern approach to data architecture that is designed to be scalable, flexible, and efficient. Modern data stacks often utilize cloud technology and modular components to make them easy to understand, operate, and utilize.
Modern data stacks take into account the entire process of taking data from a raw source and turning it into secure, utilized data. Data is taken from a source, ingested through processes like extract, transform, and load (ETL) or a data pipeline, and stored in a data warehouse or data lake. It is then cleaned, processed, integrated into an organization’s internal systems, and then analyzed and visualized by an organization’s tools. The data can then be secured with regulations as necessary.