In Data Engineering, the choice of storage format is a foundational decision that influences a system's efficiency, scalability, and overall cost-effectiveness. Storage formats are the backbone of how data is ingested, processed, stored, and queried. By understanding the strengths and limitations of each format, Data Engineers can design systems that meet current demands and scale seamlessly as data grows in complexity and volume.
In this post, we explore 11 key storage formats, their principles, and practical applications, simplifying the process of choosing the right format.