Research Catalog

Title

Big data : techniques and technologies in geoinformatics / edited by Hassan A. Karimi.

Publication

• Boca Raton : CRC Press, Taylor & Francis Group, [2014]
• ©2014

Supplementary Content

Table of contents

Items in the Library & Off-site

Details

Additional Authors

Karimi, Hassan A.

Description

xiv, 298 pages : illustrations, maps; 24 cm

Summary

"Preface What is big data? Due to increased interest in this phenomenon, many recent papers and reports have focused on defining and discussing this subject. A review of these publications would point to a consensus about how big data is perceived and explained. It is widely agreed that big data has three specific characteristics: volume, in terms of large-scale data storage and processing; variety, or the availability of data in different types and formats; and velocity, which refers to the fast rate of new data acquisition. These characteristics are widely referred to as the three Vs of big data, and while projects involving datasets that only feature one of these Vs are considered to be big, most datasets from such fields as science, engineering, and social media feature all three Vs. To better understand the recent spurt of interest in big data, I provide here a new and different perspective on it. I argue that the answer to the question of "What is big data?" depends on when the question is asked, what application is involved, and what computing resources are available. In other words, understanding what big data is requires an analysis of time, applications, and resources. In light of this, I categorize the time element into three groups: past (since the introduction of computing several decades ago), near-past (within the last few years), and present (now). One way of looking at the time element is that, in general, big data in the past meant dealing with gigabyte-sized datasets, in the near-past, terabyte-sized datasets, and in the present, petabyte-sized datasets. I also categorize the application element into three groups: scientific (data used for complex modeling, analysis, and simulation), business (data used for business analysis and modeling), and general"--

Subject

• Geography > Data processing
• Big data
• Geographic information systems
• Geospatial data
• High performance computing
• MATHEMATICS / General
• TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems
• TECHNOLOGY & ENGINEERING / Telecommunications

Bibliography (note)

• Includes bibliographical references and index.

Call Number

Map Div. 14-4730

ISBN

• 9781466586512 (hardback : acid-free paper)
• 1466586516 (hardback : acid-free paper)

LCCN

2013047353

OCLC

859584195

Title

Big data : techniques and technologies in geoinformatics / edited by Hassan A. Karimi.

Publisher

Boca Raton : CRC Press, Taylor & Francis Group, [2014]

Copyright Date

©2014

Type of Content

text

Type of Medium

unmediated

Type of Carrier

volume

Bibliography

Includes bibliographical references and index.

Connect to:

Table of contents

Added Author

Karimi, Hassan A., editor.

Research Call Number

Map Div. 14-4730