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Accidental Data Scientist : Big Data Applications and Opportunities for Librarians and Information Professionals.

By: Contributor(s): Material type: TextTextPublisher: Medford : Information Today, Inc., 2015Copyright date: ©2015Edition: 1st edDescription: 1 online resource (240 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781573877077
Subject(s): Genre/Form: Additional physical formats: Print version:: Accidental Data ScientistDDC classification:
  • 020.23
LOC classification:
  • Z682.35.T43 -- .A344 2015eb
Online resources:
Contents:
Intro -- Dedication -- Contents -- 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 Skill Set: 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 -- Transportation -- Entertainment -- Legal -- Law Enforcement -- Atmospheric Science -- Politics -- Chapter 6. Big Data Projects for Info Pros -- Patterns v. Predictions -- Roles for Info Pros -- We Enter the Stage in Act Two -- Data With Depth -- Big Data = Big Opportunity -- Mashup: Big Data and Embedded Librarianship -- Chapter 7. Big Data Communications Framework: Insights Into Big Data Mastery for Information Professionals -- Big Data Communications Framework -- Detailed BDCF Example: Hurricane Sandy -- Real World Scenario: Affordable Care Act -- Real World Scenario: Arts District Redevelopment -- Real World Scenario: Adding a Highway Lane -- Real World Scenario: Undergraduate College Degree Value -- Real Life Scenario: Municipal Wi-fi.
Chapter 8. Data Scientists Wanted: Career Opportunities in a Big Data World -- The Hiring Process: Big Data's Role -- Big Data Skills: BLS Report -- Big Data Reference Project: Adjacent Congressional Districts -- Big Data Skills: Predictive Analytics World -- Big Data Jobs for Librarians: Law Firms -- Data Scientist Positions: How to Spot Them -- Preparing the Next Generation of Data Scientists: LIS Programs -- Conclusion -- About The Author -- Index.
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Intro -- Dedication -- Contents -- 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 Skill Set: 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 -- Transportation -- Entertainment -- Legal -- Law Enforcement -- Atmospheric Science -- Politics -- Chapter 6. Big Data Projects for Info Pros -- Patterns v. Predictions -- Roles for Info Pros -- We Enter the Stage in Act Two -- Data With Depth -- Big Data = Big Opportunity -- Mashup: Big Data and Embedded Librarianship -- Chapter 7. Big Data Communications Framework: Insights Into Big Data Mastery for Information Professionals -- Big Data Communications Framework -- Detailed BDCF Example: Hurricane Sandy -- Real World Scenario: Affordable Care Act -- Real World Scenario: Arts District Redevelopment -- Real World Scenario: Adding a Highway Lane -- Real World Scenario: Undergraduate College Degree Value -- Real Life Scenario: Municipal Wi-fi.

Chapter 8. Data Scientists Wanted: Career Opportunities in a Big Data World -- The Hiring Process: Big Data's Role -- Big Data Skills: BLS Report -- Big Data Reference Project: Adjacent Congressional Districts -- Big Data Skills: Predictive Analytics World -- Big Data Jobs for Librarians: Law Firms -- Data Scientist Positions: How to Spot Them -- Preparing the Next Generation of Data Scientists: LIS Programs -- Conclusion -- About The Author -- Index.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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