This book is a classic in the world of Big Data. You are to read the book “Big_Data_Now_2012_Edition”w and provide your instructor with a two-page technical annotation of the book in a word or PDF document to be submitted to your instructor.
When considering the research that was conducted for the article, and the information that the researchers are trying to convey, and it is crucial to have as much data as possible to support the intent of the research. In this case study, you are to read the article and present your point of view as to whether the data supports the findings, or the results are skewed. When considering your point of view it is necessary to identify what the researcher’s conclusion is attempting to accomplish. Are the researchers trying to support a hypothesis or they constructing a solution to a situation that needs to be open to discussion?
Your response should be a minimum of four paragraphs and should be a minimum of 400 and 450 words. The paragraphs are single-spaced. There should be a minimum of three scholarly references supporting your observations. Citations are to follow 7.0.
All written assignments must conform to the guidelines set forth by the American Psychological Association.
According to APA 7, the following font styles and size are now accepted:
sans serif fonts such as 11-point Calibri, 11-point Arial, or 10-point Lucida Sans Unicode
serif fonts such as 12-point Times New Roman, 11-point Georgia, or normal (10-point) Computer Modern (the default font for LaTeX)
Please review the latest APA guidelines if you have any questions when writing your papers.This article was downloaded by: [22.214.171.124] On: 14 December 2020, At: 18:26
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Information Systems Research
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Editorial—Big Data, Data Science, and Analytics: The
Opportunity and Challenge for IS Research
Ritu Agarwal, Vasant Dhar
To cite this article:
Ritu Agarwal, Vasant Dhar (2014) Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS
Research. Information Systems Research 25(3):443-448. https://doi.org/10.1287/isre.2014.0546
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Information Systems Research
Vol. 25, No. 3, September 2014, pp. 443–448
ISSN 1047-7047 (print) � ISSN 1526-5536 (online) http://dx.doi.org/10.1287/isre.2014.0546
© 2014 INFORMS
Big Data, Data Science, and Analytics:
The Opportunity and Challenge for IS Research
Center for Health Information and Decision Systems, Robert H. Smith School of Business, University of Maryland,
College Park, Maryland 20742, [email protected]
Center for Business Analytics, Stern School of Business, New York University, New York, New York 1001Sep 25 – 27, 2013
Oct 28 – 30, 2013
New York, NY
Nov 11 –13, 2013
©2013 O’Reilly Media, Inc. O’Reilly logo is a registered trademark of O’Reilly Media, Inc. 13110
Change the world with data.
We’ll show you how.
O’Reilly Media, Inc.
Big Data Now: 2012 Edition
Big Data Now: 2012 Edition
by O’Reilly Media, Inc.
Copyright © 2012 O’Reilly Media. All rights reserved.
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Cover Designer: Karen Montgomery Interior Designer: David Futato
October 2012: First Edition
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2012-10-24 First release
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Table of Contents
1. Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
2. Getting Up to Speed with Big Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
What Is Big Data? 3
What Does Big Data Look Like? 4
In Practice 8
What Is Apache Hadoop? 10
The Core of Hadoop: MapReduce 11
Hadoop’s Lower Levels: HDFS and MapReduce 11
Improving Programmability: Pig and Hive 12
Improving Data Access: HBase, Sqoop, and Flume 12
Coordination and Workflow: Zookeeper and Oozie 14
Management and Deployment: Ambari and Whirr 14
Machine Learning: Mahout
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