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Cassandra High Availability

You're reading from   Cassandra High Availability Harness the power of Apache Cassandra to build scalable, fault-tolerant, and readily available applications

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Product type Paperback
Published in Dec 2014
Publisher Packt
ISBN-13 9781783989126
Length 186 pages
Edition 1st Edition
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Author (1):
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Robbie Strickland Robbie Strickland
Author Profile Icon Robbie Strickland
Robbie Strickland
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Table of Contents (11) Chapters Close

Preface 1. Cassandra's Approach to High Availability FREE CHAPTER 2. Data Distribution 3. Replication 4. Data Centers 5. Scaling Out 6. High Availability Features in the Native Java Client 7. Modeling for High Availability 8. Antipatterns 9. Failing Gracefully Index

Summary


In this chapter, we laid a general foundation for data modeling that should give you the tools you need to correctly reason about your specific use cases. We covered a lot of ground, including Cassandra's storage engine and how your CQL gets translated to that underlying model, as well as a guide for modeling time-series and geospatial data.

But there are also a number of mistakes people make when modeling data for Cassandra and we will talk about these in the next chapter. Be sure to read on so you can avoid these common pitfalls.

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