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, and scheduling for multitenant environments * Deploying Hadoop as a service in the cloud * Reviewing the essential concepts;
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distribution of Apache Hadoop. Furthermore, the blend of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) offerings available;
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This book is a step-by-step tutorial filled with practical examples which will focus mainly on the key security tools and implementation;
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Practical Hadoop Security is an excellent resource for administrators planning a production Hadoop deployment who want to secure their;
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As more corporations turn to Hadoop to store and process their most valuable data, the risk of a potential breach of those systems;
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A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem Key Features Set up, configure and get started with;
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practices for enterprises using, or planning to use, Hadoop 3 as a data platform Understand security aspects of Hadoop, including authorization and;
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into a complete tailored application, based on your particular use case. To reinforce those lessons, the book's second section provides;
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effective big data analytics solutions on-premise and on cloud Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and;
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applicable Hadoop skills in a most effective and efficient manner. The book can also be used as a supplementary textbook for a distributed computing;
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solve challenging data processing problems? Are your Hadoop jobs, Pig scripts, or Hive queries not working as fast as you intend? Are you;
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will help you plan and secure your Hadoop cluster, and make it highly available Who This Book Is For If you are a system administrator;
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covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form;
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Hadoop projects.Examine a day in the life of big data: India's ambitious Aadhaar project; review tools in the Hadoop ecosystem such as Apache's;
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scenes when you administer your cluster. You'll gain unprecedented insight as you walk through building clusters from scratch and configuring;
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evolution of Hadoop as the big data platform * Understand the basics of Hadoop architecture * Build a 360 degree view of your customer using Sqoop;
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This book is a critically needed resource for the newly released Apache Hadoop 2.0, highlighting YARN as the significant breakthrough that;
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overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a;
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. This revised edition covers recent changes to Hadoop, including new features such as Hive, Sqoop, and Avro. It also provides illuminating case;
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MapReduce API, as well as version 2 of the MapReduce runtime (YARN) and its more flexible execution model. You'll also find illuminating case;
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. Later chapters explain the core framework components and demonstrate Hadoop in a variety of data analysis tasks. Throughout the book;
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and APIs fit together, and how they can be integrated to deliver real-world solutions. This book is a practical, detailed guide to building;
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For developers working with big data, it's not enough to have a theoretical understanding of Hadoop. They need to solve real challenges;
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and learn what's new in MapReduce v2 More than 90 Hadoop MapReduce recipes presented in a simple and straightforward manner, with step-by;
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Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This is a Packt Instant;
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framework's processes and capabilities right away. The discussion covers each key Hadoop component individually, culminating in a sample application;
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