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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

Authentication and Authorization

In our interactions with Cassandra in this book, we haven't concerned ourselves with authentication or authorization; whenever we connect to our local Cassandra instance, we're not required to provide any credentials, and there have been no restrictions on what kind of operations we've been able to perform. This is the default configuration for a Cassandra cluster and works well in many scenarios, in particular where network access to the machines running Cassandra is tightly controlled.

In some scenarios, however, it's useful to be able to control access to Cassandra at the database level itself-for instance, when a cluster is shared between multiple tenants or where a large organization needs to restrict access to sensitive data to certain departments or individuals.

For these scenarios, Cassandra does offer a full suite of authentication and authorization functionality...

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