Introduction to the Big Data Engineering Minitrack

The big data phenomena is unprecedented: data volume doubling rates are accelerating, and 90% of all the data in the world has been created in the past 2 years. The sheer scale and rapid pace of technological change mandates the information systems, computer science and software engineering communit...

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Bibliographic Details
Main Authors: Chen, Hong Mei, Gorton, Ian
Format: Conference Proceeding
Language:English
Subjects:
Big data
Business
Inspection
Plagiarism
Software
Technological innovation
Visualization
Online Access:Request full text
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Summary:The big data phenomena is unprecedented: data volume doubling rates are accelerating, and 90% of all the data in the world has been created in the past 2 years. The sheer scale and rapid pace of technological change mandates the information systems, computer science and software engineering communities develop new methods and tools for engineering big data systems that derive on-going business value. Big Data Engineering, an emerging new discipline, provides a focus for the synergies that must be developed across technical disciplines to reliably deliver production-level applications that handle large amounts of data, new varieties of data types and real time velocity to discover new values for business innovation and transformation.
ISSN:1530-1605
2572-6862
DOI:10.1109/HICSS.2016.673