| #5904417 in Books | 2016-12-07 | Original language:English | 9.40 x.60 x6.10l,.0 | File Name: 1138196185 | 208 pages
||About the Author||Christopher Healey is the Goodnight Distinguished Professor of Analytics at North Carolina State University.
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 i...
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