NOSQL — definition?
Non-relational databases for scalable, flexible data storage.
Scaling — horizontal method?
Adding more servers/nodes to distribute workload.
CAP Theorem — properties?
Impossible to guarantee all three: consistency, availability, partition tolerance.
NOSQL — definition?
Non-relational databases handling large-scale, distributed data.
Schema-less Data — advantage?
Allows flexible, dynamic data models.
Horizontal Scalability — role?
Increases capacity by adding servers.
CAP Theorem — property?
Impossible to guarantee all three: Consistency, Availability, Partition Tolerance.
Eventual Consistency — meaning?
Data updates propagate asynchronously, eventual uniformity.
NOSQL DBMS types — examples?
Key-value, document, column, graph.
Graph Databases — purpose?
Model complex interrelationships and connections.
Answer 9 questions on Understanding NoSQL: Scalability and Data Models.
1. How does the CAP Theorem differentiate between consistency and availability in distributed systems?
2. What is the primary role of horizontal scaling methods in distributed database systems?
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