Picture 1 of 1

Stock photo

Disk-Based Algorithms for Big Data by Christopher Healey: New - Picture 1 of 1

Disk-Based Algorithms for Big Data by Christopher G. Healey (2016, Hardcover)

AlibrisBooks (488730)

99% positive feedback

Price:

$104.80

Free shipping

Estimated delivery Tue, Nov 4 - Sat, Nov 8

Returns:

30 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.

Condition:

Brand New

New Hard cover

About this product

Product Identifiers

PublisherCRC Press LLC

ISBN-101138196185

ISBN-139781138196186

eBay Product ID (ePID)229080448

Product Key Features

Number of Pages188 Pages

LanguageEnglish

Publication NameDisk-Based Algorithms for Big Data

SubjectDatabases / Data Mining, Databases / General, Arithmetic

Publication Year2016

TypeTextbook

AuthorChristopher G. Healey

Subject AreaMathematics, Computers

FormatHardcover

Dimensions

Item Height0.6 in

Item Weight16.8 Oz

Item Length9.5 in

Item Width6.5 in

Additional Product Features

Intended AudienceCollege Audience

LCCN2016-029517

Dewey Edition23

IllustratedYes

Dewey Decimal005.7

Table Of ContentForeword. Physical Disk Storage. File Management. Sorting. Searching. Disk-Based Sorting. Disk-Based Searching. Storage Technology. Large File Systems. NoSQL Storage. Appendix

SynopsisDisk-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. About the Author Dr. Christopher G. Healey is a tenured Professor in the Department of Computer Science and the Goodnight Distinguished Professor of Analytics in the Institute for Advanced Analytics, both at North Carolina State University in Raleigh, North Carolina. He has published over 50 articles in major journals and conferences in the areas of visualization, visual and data analytics, computer graphics, and artificial intelligence. He is a recipient of the National Science Foundation's CAREER Early Faculty Development Award and the North Carolina State University Outstanding Instructor Award. He is a Senior Member of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), and an Associate Editor of ACM Transaction on Applied Perception, the leading worldwide journal on the application of human perception to issues in computer science.

LC Classification NumberQA76.9.B45H43 2016