Design Microservices Architecture with Patterns and Principles - Cassandra NoSQL Database - Peer-to-Peer Distributed Wid

The video tutorial introduces Apache Cassandra, a highly scalable and distributed NoSQL database known for its high availability and fault tolerance. It explains Cassandra's architecture, highlighting its masterless, peer-to-peer design that ensures no single point of failure. The tutorial covers data sharding and partitioning, emphasizing the use of partition keys and hash functions for efficient data distribution. It also discusses the CAP theorem, explaining the trade-offs between availability and consistency, and how Cassandra embraces eventual consistency to optimize performance in distributed systems.

What is a key feature of Apache Cassandra that ensures it can handle large amounts of data?

• Limited data storage

• High availability

• Single point of failure

• Vertical scaling

How does Cassandra's architecture differ from traditional master-slave systems?

• It employs a masterless architecture

• It is not scalable

• It has a single point of failure

• It uses a master-slave architecture

What is the role of a partition key in Cassandra?

• To manage user access

• To decide which node stores the data

• To increase data redundancy

• To determine the data type

In the context of the CAP theorem, what do many microservices prioritize in distributed systems?

• Vertical scaling

• Data redundancy

• High availability

• Strong consistency

What is a benefit of Cassandra's auto-sharding feature?

• Centralized data management

• Reduced data security

• Optimized disk usage

• Increased data redundancy