SQL is essential to succeed in any data-focused job, especially data engineering. The more you know about SQL, the easier it’ll be for you to manipulate and query data.
Parallel Queries : PostgreSQL makes it possible to run parallel queries. This is when CPU power is leveraged to allow the running of multiple queries at once. This is especially important in data science, where often there is a general query
Full SQL syntax support : PostgreSQL supports a lot of SQL syntax and places an emphasis on SQL standard compliance. As a result, it supports window functions, table inheritance, and common table expressions.
Extended Data Support : PostgreSQL supports NoSQL data structures like JSON and XML.
Declarative Partitioning : This is when tables are split up into different segments called partitions. For example, you can create a different partition for each area code for large, geographically-distributed datasets.
