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    Cassandra 3.x High Availability - Second Edition Ed 2

    Posted By: roxul
    Cassandra 3.x High Availability - Second Edition Ed 2

    Robbie Strickland, "Cassandra 3.x High Availability - Second Edition Ed 2"
    English | ISBN: 1786462109 | 2016 | 196 pages | EPUB, MOBI, PDF | 7 MB + 10 MB + 7 MB

    Key Features
    See how to get 100 percent uptime with your Cassandra applications using this easy-follow guide
    Learn how to avoid common and not-so-common mistakes while working with Cassandra using this highly practical guide
    Get familiar with the intricacies of working with Cassandra for high availability in your work environment with this go-to-guide
    Book Description
    Apache Cassandra is a massively scalable, peer-to-peer database designed for 100 percent uptime, with deployments in the tens of thousands of nodes, all supporting petabytes of data. This book offers a practical insight into building highly available, real-world applications using Apache Cassandra.
    The book starts with the fundamentals, helping you to understand how Apache Cassandra's architecture allows it to achieve 100 percent uptime when other systems struggle to do so. You'll get an excellent understanding of data distribution, replication, and Cassandra's highly tunable consistency model. Then we take an in-depth look at Cassandra's robust support for multiple data centers, and you'll see how to scale out a cluster. Next, the book explores the domain of application design, with chapters discussing the native driver and data modeling. Lastly, you'll find out how to steer clear of common anti-patterns and take advantage of Cassandra's ability to fail gracefully.
    What you will learn
    Understand how the core architecture of Cassandra enables highly available applications
    Use replication and tunable consistency levels to balance consistency, availability, and performance
    Set up multiple data centers to enable failover, load balancing, and geographic distribution
    Add capacity to your cluster with zero downtime
    Take advantage of high availability features in the native driver
    Create data models that scale well and maximize availability
    Understand common anti-patterns so you can avoid them
    Keep your system working well even during failure scenarios