Disk-Based Algorithms for Big Data, Hardcover by Healey, Christopher G., Like...

Description: Disk-Based Algorithms for Big Data, Hardcover by Healey, Christopher G., ISBN 1138196185, ISBN-13 9781138196186, Like New Used, Free shipping in the US This text describes the underlying file systems and data management algorithms needed to support the storage and analysis of big data. It provides theoretical explanations for new systems, techniques, and databases like GFS and HDFS (Google and Hadoop file systems), MapReduce, Cassandra, Neo4j, and MongoDB; outlines traditional algorithms like mergesort, B-trees, and hashing; discusses the foundations of different technologies and use cases for them; and details physical storage hardware like hard disk drives, solid-state drives, and magnetoresistive RAM to understand how they function and affect the complexity, performance, and capabilities of existing storage and analytics algorithms. It explains the physical components of hard disks and their impact on data management; how data is stored and retrieved through primary and secondary indices; different in-memory sorting and searching algorithms; traditional disk-based sorting and search techniques; advanced storage technologies, distributed hash tables for peer-to-peer storage, large file systems and query languages like ZFS, Pig, Hive, and Presto, and NoSQL databases like Neo4j for graph structures and MongoDB for unstructured document data. Annotation ©2017 Ringgold, Inc., Portland, OR ()

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