Clean Code for SQL
- Familiarity with SQL programming language
- Desire to write code that can be easily read and upgraded
In this course, you will learn how to write clean SQL code. Clean Code is about writing code which is not only understandable to the developer him/herself but to the others as well. Also, it makes it easier to understand your own code after an extended period of time, when you will need to upgrade it.
You will learn about the basic clean code concepts such as SQL keyword principles or indenting. These are the main concepts that a developer needs to keep in mind when writing SQL code.
These concepts are referring to aliases, data type conventions, naming conventions and comments. These concepts will make you a better developer and using them in the right way can help you as a developer and you colleagues in future developments.
The advanced principles are the cherry on top. By applying these rules, your code will look exceptionally. You will find it very easy to debug and upgrade, having in mind that SQL queries can easily get huge.
This is a great course to take after the 'Databases & SQL - Introduction Course' and after finishing this course, you will be able to write readable and maintainable code. Starting from here, your code won't look so complex anymore.
Who this course is for:
- SQL Developers who want to learn to write clean code
- Web/Desktop/Mobile Developers who want to learn some clean code principles for developing code for their databases
- Anyone with SQL knowledge who wants to take their skill to the next level
- 03:23SQL Keywords
- 01:46SELECT *
Hi! I am Matei and I live in Bucharest, Romania.
I graduated the faculty of Economic Informatics at the Academy of Economic Studies here in Bucharest and the master's degree of Business Support Databases at the same university.
I've been working in the IT industry for more than 5 years as a Full Stack Developer for Business Intelligence, Database Administrator, Data Warehouse Developer and Cloud Database Engineer and I gained knowledge about multiple technologies such as Oracle, DB2, Snowflake, Python or Teradata.
I hope my knowledge will also help others to learn about databases.