Chapter 3. Data Models and Query Languages
The limits of my language mean the limits of my world.
Ludwig Wittgenstein, Tractatus Logico-Philosophicus (1922)
Data models are perhaps the most important part of developing software, because of the profound effect they have not only on how the software is written, but also on how we think about the problem that we are solving.
Most applications are built by layering one data model on top of another. For each layer, the key question is how it is represented in terms of the next-lower layer. Here’s an example of application layers from the highest to the lowest level:
-
As an application developer, you look at the real world (which includes people, organizations, goods, actions, money flows, sensors, etc.) and model it in terms of objects or data structures and APIs that manipulate those data structures, which are often specific to your application.
-
When you want to store those data structures, you express them in terms of a general-purpose data model, such as JSON or XML documents, tables in a relational database, or vertices and edges in a graph. Those data models are the topic of this chapter.
-
The engineers who built your database software decided on a way of representing that document, relational, or graph data in terms of bytes in memory, on disk, or on a network. The representation may allow the data to be queried, searched, manipulated, and processed in various ways. We will discuss these storage engine designs in Chapter 4 ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access