Data Partitioning in Databases

A small summary of what is and its benefit

Checkout my other medias I create content:
➡️ GitHub
➡️ My Data Courses (udemy)
➡️ Linkedin
➡️ Subscribe my Newsletter
➡️ Youtube

Data partitioning is a database management technique that has gained significant popularity in recent years, thanks to its ability to improve performance, scalability, and maintenance of large datasets. In this article, we’ll explore what data partitioning is, how to use it effectively with SQL queries, how to select a column for partitioning, the advantages of leveraging Snowflake’s partitioning functionality, and how to avoid hot and cold partition keys.

What is Data Partitioning?

Data partitioning is the process of dividing a large dataset into smaller, more manageable pieces or partitions. Each partition stores a subset of the data, making it easier to access, maintain, and scale as your database grows. Partitioning can significantly improve query performance by allowing the database engine to focus on a smaller subset of data relevant to a particular query.

Refer to the tables below, imagine that each row for each day actually represents 1…