MongoDB Document Store
Let’s consider an example of NoSQL database design using MongoDB, a popular document-oriented database:
Scenario: E-commerce Product Catalog
Suppose we’re designing a product catalog for an e-commerce platform using MongoDB.
// Sample Product Document
{
"_id": ObjectId("61f9baa82f55aeb9511eef23"),
"name": "Laptop",
"brand": "Apple",
"price": 1500,
"category": "Electronics",
"attributes": {
"screen_size": "13 inch",
"processor": "Intel Core i5",
"RAM": "8GB",
"storage": "256GB SSD"
}
}
In this example, each product is represented as a JSON-like document with flexible attributes. The attributes field stores additional product details as nested key-value pairs.
NoSQL Database Design
In the world of modern data management, NoSQL databases have emerged as powerful alternatives to traditional relational databases. NoSQL, which stands for “Not Only SQL” have a diverse set of database technologies designed to handle large volumes of unstructured, semi-structured, and structured data.
In this article, we’ll explore the fundamentals of NoSQL database design, its key concepts, types, and provide examples to help us understand its practical applications.
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