NOSQL — definition?
Non-relational databases for scalable, flexible data storage.
NOSQL — definition?
Non-relational databases handling large-scale, distributed data.
Scaling — horizontal method?
Adding more servers/nodes to distribute workload.
Schema-less Data — advantage?
Allows flexible, dynamic data models.
CAP Theorem — properties?
Impossible to guarantee all three: consistency, availability, partition tolerance.
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.
Pon a prueba tus conocimientos con 9 preguntas sobre Understanding NoSQL: Scalability and Data Models.
1. How does the CAP Theorem differentiate between consistency and availability in distributed systems?
2. What does NOSQL stand for and what is its primary design focus?
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