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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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Build, manage, and configure high-performing, reliable NoSQL database for your applications with Cassandra Key Features Write programs more;
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Build a scalable, fault-tolerant and highly available data layer for your applications using Apache Cassandra About This Book;
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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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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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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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(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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Speed up the design and implementation of deep learning solutions using Apache Spark Key Features Explore the world of distributed deep;
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Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key;
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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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0;...
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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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HIGHLIGHT The first and only book on Apache Mahout, an open source tool for leveraging machine learning techniques in large-scale;
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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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how to assess when Apache Thrift is the best tool to be used. To start with, you will run a simple example application, learning the;
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Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and;
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Spark * Covers various parts of machine learning including supervised/unsupervised learning & recommendation engines Who This Book Is For;
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developing Microservices in fault-tolerant fashion. This book addressed anyone interested in learning in-memory computing and distributed database;
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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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Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book * Customize;
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learn-to-do-by-yourself approach to learning - learn the concepts, practice the code snippets in Scala, and complete the assignments given to;
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machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows;
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begin by learning how cloud infrastructure makes it possible to scale your code to large amounts of processing units, without having to pay for;
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data processing and analytics * Go beyond mainstream data processing by adding querying capability, Machine Learning, and graph processing;
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