Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl) by Erl Thomas & Khattak Wajid & Buhler Paul
Author:Erl, Thomas & Khattak, Wajid & Buhler, Paul [Erl, Thomas]
Language: eng
Format: azw3
Publisher: Pearson Education
Published: 2015-12-29T16:00:00+00:00
Figure 5.14 An example of the combination of sharding and peer-to-peer replication.
CAP Theorem
The Consistency, Availability, and Partition tolerance (CAP) theorem, also known as Brewer’s theorem, expresses a triple constraint related to distributed database systems. It states that a distributed database system, running on a cluster, can only provide two of the following three properties:
• Consistency – A read from any node results in the same data across multiple nodes (Figure 5.15).
Figure 5.15 Consistency: all three users get the same value for the amount column even though three different nodes are serving the record.
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