Delve into building a GraphQL endpoint with Deno, compare technologies, configure queries, and integrate PostgresSQL and MongoDB databases to create a secure, high-performing application.

deno.tar.gz

Deno version

Deno run

deno_run_application

deno_run_db

deno_run_application_server_ts_file

docker-deno

Deno is a modern and secure runtime for JavaScript. It was created by the same team that created Node.js. Deno offers better performance, security, and simplicity than any other JavaScript runtime.

In this course, you will start by understanding the different technologies used in Deno, such as Typescript. You will compare these technologies with JavaScript and GraphQL as well as learn their terminologies. Then, you will create your own endpoint with Deno and configure queries and mutations in it. Next, you will explore two different databases with Deno: first, you’ll learn how to set up an SQL database using PostgresSQL and then how to configure a NoSQL database using MongoDB to store documents and collections of on-demand data. Finally, you’ll put everything together to have a fully functioning GraphQL endpoint made with Deno and backed by PostgreSQL and MongoDB. 

After this course, you’ll be able to create a Deno application and a GraphQL endpoint while having a database of your choice to store data.

Building a GraphQL Endpoint with Deno

## SQL databases

SQL databases have been around since the 70s. It was originally developed by Donald D. Chamberlin and Raymond F. Boyce. After IBM released a detailed description of the syntax, many other vendors started working on their databases, creating many variations between them. By the mid-80s, the American National Standards Institute (ANSI) started working on the standardization of SQL. This standardization can be divided into four major releases:

* The first version contained the basics of SQL and was released by the end of the 80s.
* The foundation added many of the keywords we’re familiar with today and was released in 1992.
*The development of modern SQL began in 1999.
* Modern SQL was released in 2003 and its last version was released in 2019.

Today, with these standards, we have many databases to choose from, like Postgres, MySQL, Microsoft SQL Server, and MariaDB. Data stored in these databases is structured and stored in tables with fixed rows and columns.

# SQL databases

SQL databases have been around since the 70s. It was originally developed by Donald D. Chamberlin and Raymond F. Boyce. After IBM released a detailed description of the syntax, many other vendors started working on their databases, creating many variations between them. By the mid-80s, the American National Standards Institute (ANSI) started working on the standardization of SQL. This standardization can be divided into four major releases:

* The first version contained the basics of SQL and was released by the end of the 80s.
* The foundation added many of the keywords we’re familiar with today and was released in 1992.
*The development of modern SQL began in 1999.
* Modern SQL was released in 2003 and its last version was released in 2019.

Today, with these standards, we have many databases to choose from, like Postgres, MySQL, Microsoft SQL Server, and MariaDB. Data stored in these databases is structured and stored in tables with fixed rows and columns.

Learn the difference between SQL and NoSQL databases and when to use them.

Introduction to Deno, TypeScript, and GraphQL

Creating a Basic GraphQL Endpoint

Databases and Deno

SQL: Postgres and Deno

NoSQL: Mongo and Deno

Wrapping Up

Appendix

SQL or NoSQL Databases

SQL databases