
What is the CAP theorem, and why does it matter in distributed systems?
In this episode, we explore the CAP theorem and its three fundamental properties: Consistency, Availability, and Partition Tolerance. We'll discuss what these properties mean, why distributed systems have to make trade-offs when network failures occur, and how AP and CP systems differ.
We'll also look at the limitations of the CAP theorem and introduce PACELC, a more modern approach that considers the trade-offs between latency and consistency even when everything is working normally.
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šļø Data Engineering Concepts ā making complex data engineering topics easier to understand, one episode at a time.
Podcast website: š ā ā ā https://deconcepts.comā ā ā
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