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Cloud Computing for Data Analysis
book

Cloud Computing for Data Analysis

by Noah Gift, Alfredo Deza
December 2020
Intermediate to advanced
216 pages
4h 17m
English
Pragmatic AI Labs
Content preview from Cloud Computing for Data Analysis
Chapter 4: Challenges and
Opportunities in Distributed
Computing
One of the critical tenants of life is tradeoffs. To gain one thing, you oen lose another. With
Distributed Computing, there is mu to both gain and lose. Let’s talk through some of the keys
concepts.
Learn what Debugging Python Code is in the following screencast.
Video Link: hps://www.youtube.com/wat?v=BBCdU_3AI1E²³⁰
Eventual Consistency
e foundational infrastructure of the Cloud builds upon the concept of eventual consistency. is
theory means that a relational database’s default behavior, for example, of strong consistency, is
not needed in many Cloud Scale applications. For instance, ...
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Publisher Resources

ISBN: 20201229PAIMLOtherPublisher Website