9786207452057 - Hadoop Ecosystem, YARN, NoSQL, MongoDB, Spark & Scala Guide di Sinha, Jaya; Akilan, T.; M., Chandraprabha (5 risultati)

Condizione: New.

Taschenbuch. Condizione: Neu. Neuware -Dive into the world of big data with the comprehensive guide 'Hadoop Ecosystem, YARN, NoSQL, MongoDB, Spark & Scala Guide.' In Chapter 1, explore the intricacies of the Hadoop ecosystem and YARN, covering components, HDFS, MapReduce, YARN, PIG, HIVE, schedulers, failover, fencing, and HDFS federation. Chapter 2 introduces NoSQL databases, providing insights into different types, including document databases, key-value stores, column-oriented databases, and graph databases. Chapter 3 delves into MongoDB, offering an in-depth understanding of its introduction, data types, document creation, updating, deletion, querying, indexing, and capped collections. Moving to Chapter 4, embark on the journey of Spark, from installation to Spark applications, Resilient Distributed Databases, the anatomy of a Spark job run, and Spark on YARN. Uncover different deployment modes across the cluster. Finally, Chapter 5 introduces SCALA, exploring its features, classes, objects, constructors, implicit classes, mutable variables, basic types, operators, exception handling, match expressions, functions, closures, and inheritance.Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch.

Taschenbuch. Condizione: Neu. Hadoop Ecosystem, YARN, NoSQL, MongoDB, Spark & Scala Guide | Jaya Sinha (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786207452057 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 100 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Dive into the world of big data with the comprehensive guide 'Hadoop Ecosystem, YARN, NoSQL, MongoDB, Spark & Scala Guide.' In Chapter 1, explore the intricacies of the Hadoop ecosystem and YARN, covering components, HDFS, MapReduce, YARN, PIG, HIVE, schedulers, failover, fencing, and HDFS federation. Chapter 2 introduces NoSQL databases, providing insights into different types, including document databases, key-value stores, column-oriented databases, and graph databases. Chapter 3 delves into MongoDB, offering an in-depth understanding of its introduction, data types, document creation, updating, deletion, querying, indexing, and capped collections. Moving to Chapter 4, embark on the journey of Spark, from installation to Spark applications, Resilient Distributed Databases, the anatomy of a Spark job run, and Spark on YARN. Uncover different deployment modes across the cluster. Finally, Chapter 5 introduces SCALA, exploring its features, classes, objects, constructors, implicit classes, mutable variables, basic types, operators, exception handling, match expressions, functions, closures, and inheritance.