How Key value Stores Work?
Key value stores are like giant dictionaries used in databases to manage massive data loads across distributed servers, employing techniques like consistent hashing and eventual consistency to balance data distribution, availability, and consistency.
MAIN POINTS FROM TRANSCRIPT
- Key value stores function like dictionaries, linking keys to values for data management.
- Consistent hashing helps distribute data across servers, minimizing data movement when servers change.
- Data replication across multiple servers ensures availability even if one server fails.
- Eventual consistency allows systems to reconcile data differences over time, balancing consistency and availability.
TAKEAWAYS
- Key value stores handle vast amounts of data, necessitating distribution across thousands of servers.
- Consistent hashing reduces the need to relocate data when adding or removing servers.
- Data replication provides redundancy, safeguarding against server failures.
- Eventual consistency is a trade-off strategy to manage distributed data consistency and availability.