Summary

The article discusses the evolving landscape of data storage and workload architectures, proposing a taxonomy that categorizes systems based on their workloads, storage tiers, visibility, and data copies. It highlights the distinctions between OLTP, OLAP, HTAP, and the newly introduced LTAP systems, emphasizing the need for a shared vocabulary to facilitate discussions around system architecture. The author explores concepts such as tiering and materialization, providing examples and classifications to clarify the relationships between different data systems.

Data Problems Addressed