Data-Centric Consistency Models Explained | Distributed Systems Module 5 | Easy for Exams

#DistributedSystems #ConsistencyModels #ComputerScience This video explains Data-Centric Consistency Models from Distributed Systems – Module 5 in a clear and exam-oriented way. In distributed systems, data is replicated across multiple machines. Consistency models define how and when updates are visible across all replicas. In this video, you will learn: What are Data-Centric Consistency Models Strict Consistency Sequential Consistency Causal Consistency Eventual Consistency Real-world examples This topic is very important for engineering students and is frequently asked in university exams (5–10 marks). 📚 Topics Covered Introduction to Consistency Models Definition of Data-Centric Consistency Types of Consistency Models Real-world examples Comparison of models Advantages and limitations 🎓 Subject Distributed Systems Module 5 – Replication, Consistency and Fault Tolerance