Hadoop Ecosystem, YARN, NoSQL, MongoDB, Spark & Scala Guide

Sinha, Jaya; Akilan, T.; M., Chandraprabha

ISBN 10: 6207452054 / ISBN 13: 9786207452057

Verlag: LAP LAMBERT Academic Publishing, 2023

Beschreibung

Bestandsnummer des Verkäufers 26404255668

Bibliografische Details

• Titel: Hadoop Ecosystem, YARN, NoSQL, MongoDB, Spark & Scala Guide
• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 6207452054
• ISBN-13: 9786207452057
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.