NoSQL Databases

Document-Based Databases

Overview: Document-based databases, such as MongoDB, provide flexible and schema-less storage for documents. In this module, you'll explore how these databases are ideal for storing and querying unstructured or semi-structured data.

Examples: Here's a simple example of inserting a document into a MongoDB collection:

db.books.insertOne({
    title: "The Great Gatsby",
    author: "F. Scott Fitzgerald",
    year: 1925
});

Key-Value Stores

Overview: Key-Value stores like Redis excel in providing lightning-fast data retrieval. In this module, you'll discover how these databases efficiently handle caching, real-time analytics, and more.

Examples: To set a key-value pair in Redis:

SET username "john_doe"

Column-Family Stores

Overview: Column-family stores, exemplified by Apache Cassandra, are designed for storing massive amounts of distributed data. Learn how these databases handle column-family data models efficiently.

Examples: Create a table in Cassandra for storing user profiles:

CREATE TABLE UserProfile (
    username text PRIMARY KEY,
    email text,
    age int
);

Graph Databases

Overview: Graph databases like Neo4j are designed to handle complex relationships in data. In this module, you'll explore how graph databases are used in social networks, recommendation engines, and more.

Examples: Querying for friends of a user in Neo4j:

MATCH (user:User {name: 'Alice'})-[:FRIENDS_WITH]->(friend:User)
RETURN friend.name;

Join us on this journey through the diverse landscape of NoSQL databases, where you'll discover their unique strengths and applications. Let's get started!

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