NoSQL Database Tutorial – Full Course for Beginners

Ania Kubow, a software developer and course creator, introduces the concept of NoSQL databases, contrasting them with SQL databases. The course aims to clarify the differences, explore four main types of NoSQL databases, and apply the knowledge through real-life use cases with document and Graph QL APIs. The importance of subscribing to freeCodeCamp for access to learning materials is emphasized.

The paragraph delves into the characteristics of NoSQL databases, such as being non-relational, distributed, scalable, partition-tolerant, and highly available. It explains the flexibility of NoSQL data models, including key-value, document, wide-column, and graph formats, and introduces the concept of multi-model databases. The differences between SQL and NoSQL in terms of data modeling and scalability are highlighted.

The focus shifts to tabular databases, also known as column or wide-column databases. The process of creating a table within a keyspace is described, including defining a schema with rows and columns, specifying data types, and using primary keys for data retrieval. The concept of partition keys is introduced, which determines how data is distributed across nodes in a distributed database.

The paragraph demonstrates how to insert data into a tabular database using specific commands and how to add values to the created rows. It also explains how to use the 'select' command to query the database and retrieve data based on the primary key. Additionally, it covers how to filter data using partition keys and the concept of clustering keys that determine the order of sorted data.

The discussion moves to document databases, which do not require a predefined schema and can store data in JSON format. The paragraph explains the process of creating a collection in a document database and adding documents to it. It also covers how to retrieve all documents from a collection and search for a specific document using its document ID.

The paragraph introduces the concept of Application Programming Interfaces (APIs) and how they facilitate communication between different technologies. It explains the use of HTTP requests, particularly GET, POST, PUT, and DELETE, for interacting with databases. The process of constructing a URL for data retrieval and the importance of authorization tokens are also discussed.

The paragraph demonstrates how to add new items to a document collection using a POST request and how to retrieve data from the collection using a GET request. It also shows how to filter documents based on a specific field using a 'where' clause in the request. The use of tools like Hopscotch for viewing API responses is mentioned.

The focus is on key-value databases, where data is stored as key-value pairs. The paragraph explains how to create a key-value table using Graph QL and insert items into the table. It also demonstrates how to retrieve data from the table using both the CQL console and Graph QL queries.

The paragraph covers how to add more items to a key-value store and retrieve them using their keys. It also discusses how to delete an item from the store using a specific mutation designed for deletion operations. The importance of correctly identifying the data model and using the appropriate API for interactions is emphasized.

The paragraph recaps the different types of NoSQL databases covered in the course and introduces the concept of multi-model databases, which can store various data models in one place. The benefits of learning and maintaining a single database for diverse data models are discussed, and real-life projects using the document and Graph QL APIs are proposed for further learning.

The paragraph outlines the process of creating a React app that displays favorite burger restaurants using data from a NoSQL database. It covers setting up a new project, installing dependencies, and creating a mini backend with Express to fetch and serve data to the frontend.

The final paragraph demonstrates building a hotel app using Graph QL. It covers creating a new database, setting up a Graph QL playground, creating a table, inserting data, and querying the database. The paragraph also discusses using Netlify serverless functions to fetch data for the frontend of the React app.