Abstract
Congratulations! You are almost halfway through this journey. You are at the point where it is necessary to meet the component responsible for information persistence; the sometimes neglected “data layer” will take on a new dimension when you have finished this chapter. It’s time to meet Apache Cassandra, a NoSQL database that provides high availability and scalability without compromising performance.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
- 2.
- 3.
- 4.
- 5.
Ki Sun Song, “Introduction to In-Memory Data Grid; Main Features.” http://www.cubrid.org/blog/dev-platform/introduction-to-in-memory-data-grid-main-features/
- 6.
Comparative study of NoSQL document, column store databases, and evaluation of Cassandra. http://airccse.org/journal/ijdms/papers/6414ijdms02.pdf
- 7.
- 8.
- 9.
- 10.
How SoundCloud Uses Cassandra. https://www.infoq.com/presentations/soundcloud-cassandra
- 11.
Spotify: How to Use Apache Cassandra. https://www.youtube.com/watch?v=JWaECFyhvxI
- 12.
Netflix: A State of Xen Chaos Monkey & Cassandra. https://www.youtube.com/watch?v=Mu01DmxQjWA
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Raul Estrada and Isaac Ruiz
About this chapter
Cite this chapter
Estrada, R., Ruiz, I. (2016). Storage: Apache Cassandra. In: Big Data SMACK. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2175-4_5
Download citation
DOI: https://doi.org/10.1007/978-1-4842-2175-4_5
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-2174-7
Online ISBN: 978-1-4842-2175-4
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)