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Big Data Computational Analysis:
Computation-Intensive Big Data Computing
 
 
 

 

Big Data Computational Analysis:
Computation-Intensive Big Data Computing

1st Edition
(Hard cover)
Author: Opubo G Benebo

Publish Date:  November, 2017

Price:         $ N/A
Discount:     35%
Net Price:    N/A

Publisher: Okumaye Publishing
ISBN-13:   N/A
ISBN-10:   N/A
LCCN:      N/A

Dimension: 6.14 x 9.21
Weight: N/A
Shipping & Delivery:  Details

  Book Description
Big Data Computational Analysis: Computation-Intensive Big Data Computing, sets out the construct of computational platform utilizing Big Data Technologies for the purposes of performing complicated large cardinality data sets computing.

As Computational analysis becomes pervasive the mathematical equations adopted for the analysis have also become more complicated and nonlinear, or result in nonlinear Differential, Integral and Integro-differential equations. In very many cases the Numerical Methods of solutions of these equations based on refined discretization result in Algebraic Matrix equations of Large Cardinality, 7200x7200,dimension Matrices. Without making exceptions of high performance computing systems, getting solutions of such matrices, of course, is possible with the use of Big Data Computing, with the intrinsic features of Data Management, and Data "Process" operations at a minimum. Then, of course, for Computational Analysis, the Big Data Computing is expanded to include other computatinal algorithms applicable to the computing needs of interest.

Accordingly, Big Data Computational Analysis, explicitly proffers approaches to select computation intensive subject matters Big data Computing such as Large Cardinality Data Computing, N-tuple-Space time Continuum Geometry Analytics Computing, Countably Infinite Data Sequences Computing, etc. in computations of these analyses are involved several iterative subanalyses including pattern analysis, finger-printing analysis, and big data partitioning using search and computational algorithms.

Big Data Computational Analysis should prove to be very useful to the Computational researchers as well as strict Data Analysts, and of course, the Data Scientist who generally deals with Database data features analysis, Data Engineers; and even physicists.

Book Details
Book:       Big Data Computational Analysis: Computation-Intensive Big Data Computing
Author:     Opubo G Benebo

Language: English

Publisher: Okumaye Publishing

ISBN-13:   N/A
ISBN-10:   N/A
LCCN:      N/A

Binding:       Hardcover (Cloth on Board, dustcover)
Page Count: N/A

Publish Date: October, 2017  

Dimension: 6.14 x 9.21
Weight: N/A

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