Data Structures for Big Data Stores

Authored by: Arun A. Ravindran , Dinesh P. Mehta

Handbook of Data Structures and Applications

Print publication date:  March  2018
Online publication date:  February  2018

Print ISBN: 9781498701853
eBook ISBN: 9781315119335
Adobe ISBN:

10.1201/9781315119335-63

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Abstract

The emergence of large-scale web services, smartphones, social media, and high throughput scientific instruments within the last decade or so has resulted in a deluge of data. For example, Facebook has an incoming daily data rate of 600 TB with data warehouses storing upwards of 300 PB of data [1]. The amount of data generated by DNA sequencing centers is many terabytes every day with the amount doubling every 7 months [2]. The data problem is expected to worsen with the roll out of the Internet-of-Things (IoT) [3]. A key feature of IoT is equipping physical infrastructure with sensing and information transmission capabilities with the goal of realizing intelligent transportation, energy management, environmental monitoring, manufacturing, and health care systems.

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