Chapter 11. Modeling for Data Management
In the previous chapters, you have learned about the general process of data modeling. Specifically, Chapter 10 focuses on compute and storage design along with the principles of physical data modeling. You explored how architectural choices such as processing engines, storage formats, partitioning, and indexing directly affect performance, scalability, and cost. That discussion established the technical foundation required to store and process data efficiently in modern data platforms.
Modern data management is more than a technical operation. Enterprises nowadays build their data system on the foundation that focuses on the values, not the hardware and software. Instead of only asking how data is stored and processed, you now ask how data is designed, owned, and delivered as something people can actually use. That means you need to fit your data into the wider enterprise data management practices. You will build it and sell it, just like a product.
This chapter will introduce ...
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