Design Microservices Architecture with Patterns and Principles - When to Use NoSQL Databases?

The video discusses when to use NoSQL databases, highlighting their flexible schema, suitability for dynamic and high-volume data, and ability to scale horizontally. It covers use cases like IoT applications, where data attributes are unpredictable. NoSQL databases prioritize partition tolerance and eventual consistency, making them ideal for handling big data and high-velocity data. They offer fast write operations but are not suited for complex join queries. The decentralized structure of NoSQL databases allows for scalability across geographical zones, making them a good choice for microservices.

What is a key advantage of NoSQL databases when dealing with dynamic data?

• They require predefined data attributes.

• They have a fixed schema.

• They allow for dynamic changes in data attributes.

• They do not support dynamic data.

Why are NoSQL databases suitable for high workload volumes?

• They are designed for vertical scaling.

• They prioritize partition tolerance and horizontal scaling.

• They have a fixed schema.

• They do not support high-velocity data.

What is a characteristic of NoSQL databases regarding data consistency?

• They are eventually consistent.

• They do not support any consistency model.

• They provide strong consistency.

• They follow the ACID model.

Which of the following is a limitation of NoSQL databases?

• They have a centralized structure.

• They support complex join queries.

• They provide strong consistency.

• They do not support transactions.

How do NoSQL databases handle data across different geographical zones?

• They use a centralized structure.

• They replicate data across zones for better control.

• They only support local data storage.

• They do not support data replication.