quantumudit / Querying-with-TSQL

This repository contains notebooks that can help in learning T-SQL queries from the very basics to the advanced level.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Project Logo


Learning T-SQL Querying with SQL Server and Azure Data Studio

built-with-love powered-by-coffee cc-nc-sa

OverviewPrerequisitesSupportLicense

Overview

This repository contains notebooks that can help in learning T-SQL queries from the very basics to advance level.

The repository directory structure is as follows:

Querying-with-TSQL
├─ DATABASES
├─ NOTEBOOKS
├─ RESOURCES

The type of content present in the directories is as follows:

DATABASES

This directory contains the T-SQL script of the databases used for all types of querying in this repository. You may execute the SQL scripts to create the databases in you SQL Server machine

NOTEBOOKS

This directory contains the SQL Notebooks that has the SQL queries along with descriptive notes. The SQL Notebooks are basically the Jupyter Notebooks with T-SQL Kernel and can be edited with Azure Data Studio.

RESOURCES

This directory contains images, icons, layouts, etc. that are used in this project.

Prerequisites

In order to follow along with this project one need to have basic understanding of the SQL Server & Azure Data Studio interface.

Support

If you have any doubts, queries or, suggestions then, please connect with me in any of the following platforms:

Linkedin Badge Twitter Badge

If you like my work then, you may support me at Patreon:

become-a-patreon

License

by-nc-sa

This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms.

About

This repository contains notebooks that can help in learning T-SQL queries from the very basics to the advanced level.

License:Other


Languages

Language:Jupyter Notebook 96.7%Language:TSQL 3.3%