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databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a;
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advanced features available in Cassandra 3.x through a step-by-step tutorial and build a scalable, high performance database layer Who This Book;
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Follow this handbook to build, configure, tune, and secure Apache Cassandra databases. Start with the installation of Cassandra and move on;
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with your Cassandra applications using this easy-follow guide * Learn how to avoid common and not-so-common mistakes while working with;
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Create your own massively scalable Cassandra database with highly responsive database queries About This Book * Create a Cassandra;
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to optimize your work by using many features of Spark 2.x and Scala Book DescriptionApache Spark is an in-memory, cluster-based data;
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If you are working with Java or Java EE projects and you want to take full advantage of Maven in des;...
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About This Book Learn to install and use Cassandra from the ground up Design rich schemas that capture the relationships between;
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Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book * An advanced guide with a combination;
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The Apache HTTP Server, colloquially called Apache is the world's most used web server software. Thi;...
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(Apache Cassandra and Couchbase) and from relational databases (Oracle Database) is also discussed. What You'll Learn: How to use a Java;
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The growing popularity of Apache Cassandra rests on this database's ability to handle very large data sets that include hundreds;
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Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache;
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install Mule ESB on a cluster and Cassandra in the cloud Install and use DCOS for big data processing Use Apache Spark for big data stack data;
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A comprehensive guide to mastering the most advanced Hadoop 3 concepts Key Features Get to grips with the newly introduced features and;
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book in Cassandra. The recipe consists of a description of the program, a full code example is given, the example is run, the output;
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solutions that solve complex big data problems In Detail While Apache Spark 1.x gained a lot of traction and adoption in the early years;
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Combine the incredible powers of Spark, Mesos, Akka, Cassandra, and Kafka to build data processing platforms that can take on even the;
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