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Disk-based algorithms for big data / Christopher G. Healey

By: Healey, Christopher G, [author].
Material type: TextTextPublisher: Boca Raton : CRC Press, ©2017Description: xx, 184 pages : illustrations (some color) ; 25 cm.ISBN: 9781138196186 .Subject(s): Big data | Disk access (Computer science)DDC classification: 005.7
Contents:
Chapter 1. Physical disk storage -- Chapter 2. File management -- Chapter 3. Sorting -- Chapter 4. Searching -- Chapter 5. Disk-based sorting -- Chapter 6. Disk-based searching -- Chapter 7. Storage technology -- Chapter 8. Distributed hast tables -- Chapter 9. Large file systems -- Chapter 10. NoSQL storage.
Summary: Disk-Based Algorithms for Big Data is a product of recent advances in the areas of big data, data analytics, and the underlying file systems and data management algorithms used to support the storage and analysis of massive data collections. The book discusses hard disks and their impact on data management, since Hard Disk Drives continue to be common in large data clusters. It also explores ways to store and retrieve data though primary and secondary indices. This includes a review of different in-memory sorting and searching algorithms that build a foundation for more sophisticated on-disk approaches like mergesort, B-trees, and extendible hashing. Following this introduction, the book transitions to more recent topics, including advanced storage technologies like solid-state drives and holographic storage; peer-to-peer (P2P) communication; large file systems and query languages like Hadoop/HDFS, Hive, Cassandra, and Presto; and NoSQL databases like Neo4j for graph structures and MongoDB for unstructured document data. Designed for senior undergraduate and graduate students, as well as professionals, this book is useful for anyone interested in understanding the foundations and advances in big data storage and management, and big data analytics.
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Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
005.7 H434 (Browse shelf) Available 138418
Total holds: 0

Includes index.

Chapter 1. Physical disk storage --
Chapter 2. File management --
Chapter 3. Sorting --
Chapter 4. Searching --
Chapter 5. Disk-based sorting --
Chapter 6. Disk-based searching --
Chapter 7. Storage technology --
Chapter 8. Distributed hast tables --
Chapter 9. Large file systems --
Chapter 10. NoSQL storage.

Disk-Based Algorithms for Big Data is a product of recent advances in the areas of big data, data analytics, and the underlying file systems and data management algorithms used to support the storage and analysis of massive data collections. The book discusses hard disks and their impact on data management, since Hard Disk Drives continue to be common in large data clusters. It also explores ways to store and retrieve data though primary and secondary indices. This includes a review of different in-memory sorting and searching algorithms that build a foundation for more sophisticated on-disk approaches like mergesort, B-trees, and extendible hashing.
Following this introduction, the book transitions to more recent topics, including advanced storage technologies like solid-state drives and holographic storage; peer-to-peer (P2P) communication; large file systems and query languages like Hadoop/HDFS, Hive, Cassandra, and Presto; and NoSQL databases like Neo4j for graph structures and MongoDB for unstructured document data.
Designed for senior undergraduate and graduate students, as well as professionals, this book is useful for anyone interested in understanding the foundations and advances in big data storage and management, and big data analytics.

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