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Understanding the CAP Theorem in Big Data by Dina Bardakji is a document available to read on EtoBox.
What is Understanding the CAP Theorem in Big Data about?
The CAP theorem, proposed by Eric A. Brewer, states that a distributed storage system can achieve only two of three characteristics: consistency, availability, and partition tolerance. Systems are classified as CP (consistency and partition tolerance), AP (availability and partition tolerance), or CA (consistency and availability), with each type sacrificing one of the characteristics. Understanding these trade-offs is crucial for developing efficient large-scale distributed storage systems for big data.
- Author
- Dina Bardakji
- Language
- EN