By Amy Affelt, Thomas H. Davenport
ISBN-10: 1573877085
ISBN-13: 9781573877084
Amy Affelt, writer of The unintentional facts Scientist, notes that "Librarians and knowledge pros have constantly labored with info in an effort to meet the data wishes in their elements, hence 'Big facts' isn't really a brand new inspiration for them." With The unintended information Scientist, Amy Affelt exhibits info execs tips on how to leverage their talents and coaching to grasp rising instruments, ideas, and vocabulary; create mission-critical immense information study deliverables; and observe worthwhile new occupation possibilities by means of embracing their internal facts Scientist.
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Extra info for The Accidental Data Scientist. Big Data Applications and Opportunities for Librarians and Information...
Sample text
It is an unprecedented way to track consumer behavior, so revelatory that it is impossible to ignore, but at the same time, it requires massive amounts of storage capability, programming, and statistical expertise, as well as careful attention to the legalities and privacy issues that can arise. The promise—and the peril—of Big Data is foremost in the minds of directors and CEOs. They are wondering how to find the golden needles in the haystacks of information that will affect their relevancy and revenue, and ultimately, their ability to fulfill the mission of their organizations and strategic plans for the future.
The sidebar on page 21 is a Data Verification Consideration Checklist to use when evaluating data. The data discrepancy check is the most critical step in the verification process and one for which librarians are particularly skilled. It cannot be overemphasized that in many cases a seemingly infinitesimal percentage change can result in vastly different conclusions in the analysis of the data. Librarians understand this and can serve as critical voices of caution and skepticism when working on data project teams.
Information science--Vocational guidance. 4. Big data. 5. Data libraries. 6. Database searching. 7. Electronic information resource literacy. I. Title. 23--dc23 2014037859 Printed and bound in the United States of America President and CEO: Thomas H. Hogan, Sr. Editor-in-Chief and Publisher: John B. com For my father, Gerald, my mother, Carol, and my husband, Michael Contents Copyright Figures and Tables Foreword, by Thomas H. Davenport Acknowledgments Introduction Chapter 1: Big Data: Everything Old is New Again Big Data Hits the Big Time You Know It When You See It Old Friends in a New Package The Proliferation of Social Data The Five V’s of Big Data Chapter 2: What the Elves Do A Common “Elvish” Language Hadoop Splunk Logentries Connotate Sumo Logic Emerald Logic Big Data Glossary of Terms Big Data Units of Volume Keeping Up With What the Elves Do Chapter 3: The 21st Century Librarian’s Skillset: The Role of Big Data The L Word 21st Century Goals High Value Deliverables Value-added Intelligence Demonstrate Your Value Other Studies Chapter 4: Dipping a Toe in the Water: Simple Tools to Get You Started Taking the “Big” Out of Big Data Big Data in Action Data Visualization Tools and Truly Predictive Algorithms: Tools Anyone Can Use Chapter 5: Big Data Applications and Initiatives by Industry Healthcare Transporation Entertainment Legal Law Enforcement Atmospheric Science Politics Chapter 6: Big Data Projects for Info Pros Patterns v.