Data Structures and Algorithms
Learn how PostgreSQL applies data structures and algorithms to maintain data consistency and integrity. Understand normalization principles, how SQL queries translate into execution plans, and the importance of modular, clear design based on Unix philosophy to create robust and optimized database models.
We'll cover the following...
Our database model is there to support all our business cases and continuously provide a consistent view of our world as a whole. For that to be possible, some rules have been built up and improved upon over the years. The main goal of those design rules is overall consistency for all the data managed in our schema.
Note: Database normalization is the process of organizing the columns (attributes) and tables (relations) of a relational database to reduce data redundancy and improve data integrity. Normalization is also the process of simplifying the design of a database so that it achieves the optimal structure. It was first proposed by Edgar F. Codd as an integral part of a relational model.
SQL is declarative
After having done all those SQL queries and reviewed join operations, ...