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Cassandra High Availability

You're reading from  Cassandra High Availability

Product type Book
Published in Dec 2014
Publisher Packt
ISBN-13 9781783989126
Pages 186 pages
Edition 1st Edition
Languages
Author (1):
Robbie Strickland Robbie Strickland
Profile icon Robbie Strickland

Table of Contents (16) Chapters

Cassandra High Availability
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Cassandra's Approach to High Availability 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

About the Reviewers

Richard Low has worked with Cassandra since Version 0.6 and has managed and supported some of the largest Cassandra deployments. He has contributed fixes and features to the project and has helped many users build their first Cassandra deployment. He is a regular speaker at Cassandra events and a contributor to Cassandra online forums.

Jimmy Mårdell is a senior software engineer and Cassandra contributor who has spent the last 4 years working with large distributed systems using Cassandra. Since 2013, he has been leading a database infrastructure team at Spotify, focusing on improving the Cassandra ecosystem at Spotify and empowering other teams to operate Cassandra clusters. Jimmy likes algorithms and competitive programming and won the programming competition Google Code Jam in 2003.

Rob Murphy is a solutions engineer at DataStax with more than 16 years of experience in the field of data-driven application development and design. Rob's background includes work with most RDMS platforms as well as DataStax/Apache Cassandra, Hadoop, MongoDB, Apache Accumulo, and Apache Spark. His passion for solving "data problems" goes beyond the system level to the data itself. Rob has a Master's degree in Predictive Analytics from Northwestern University with a specific research interest in machine learning and predictive algorithms at the "Internet scale".

Russell Spitzer received his PhD in Bioinformatics from UCSF in 2013, where he became increasingly interested in data analytics and distributed computation. He followed these interests and joined DataStax, the enterprise company behind the Apache Cassandra distributed database. At DataStax, he works on the testing and development of the integration between Cassandra and other groundbreaking open source technologies, such as Spark, Solr, and Hadoop.

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