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Non-Relational Database
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A Non-Relational Database (NoSQL) stores data in flexible ways, not like tables with rows and columns.
Key Points:
- Flexible Storage: Handles structured, semi-structured, or unstructured data (e.g., JSON, graphs).
- Scalable: Great for handling large amounts of data across multiple servers.
- Fast: Optimized for quick reads and writes, even with huge datasets.

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Non-Relational Database Use cases
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Here are the use cases with real examples:
1. IoT and Telematics
- What it does: Handles large, real-time data streams from sensors, devices, and vehicles.
- Example: Tesla uses non-relational databases to process real-time data from its vehicles for navigation, diagnostics, and self-driving features.
2. Retail and Marketing
- What it does: Stores customer profiles and shopping behavior for personalized recommendations.
- Example: Amazon uses non-relational databases like DynamoDB to recommend products based on user browsing and purchase history.
3. Gaming