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Cassandra 3.x High Availability

You're reading from   Cassandra 3.x High Availability Achieve scalability and high availability without compromising on performance

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Product type Paperback
Published in Aug 2016
Publisher
ISBN-13 9781786462107
Length 196 pages
Edition 2nd Edition
Languages
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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 (10) Chapters Close

Preface 1. Cassandras 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 Availability 8. Anti-Patterns 9. Failing Gracefully

Summary


In this chapter, we laid down a general foundation for data modeling that should give you the tools you need to correctly reason about your specific use cases. We have 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 on antipatterns. Make sure to read on, so that you can avoid these common pitfalls.

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