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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Managing fault-tolerant, scalable data with high performance

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Product type Paperback
Published in Apr 2017
Publisher
ISBN-13 9781787127296
Length 360 pages
Edition 2nd Edition
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Author (1):
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Sandeep Yarabarla Sandeep Yarabarla
Author Profile Icon Sandeep Yarabarla
Sandeep Yarabarla
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Table of Contents (15) Chapters Close

Preface 1. Getting Up and Running with Cassandra FREE CHAPTER 2. The First Table 3. Organizing Related Data 4. Beyond Key-Value Lookup 5. Establishing Relationships 6. Denormalizing Data for Maximum Performance 7. Expanding Your Data Model 8. Collections, Tuples, and User-Defined Types 9. Aggregating Time-Series Data 10. How Cassandra Distributes Data 11. Cassandra Multi-Node Cluster 12. Application Development Using the Java Driver 13. Peeking under the Hood 14. Authentication and Authorization

Summary

In this final appendix, we explored Cassandra's ability to restrict access to itself using internal authentication and authorization. We saw that Cassandra offers simple configuration of user accounts and permissions using a collection of CQL commands provided for that purpose, and also that this information is stored transparently in tables in the system_auth keyspace.

We noted that internal authorization can be useful for traditional security concerns, but also simply as a hedge against mistakes. By limiting access to that which is strictly needed, we can reduce our vulnerability to user errors that can unintentionally cause major data loss.

We also noted that internal authentication and authorization are not the full security picture for a Cassandra deployment. While the details are beyond the scope of a book whose audience is primarily application engineers, we did a brief survey of other security...

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