Williamson Getting a Big Data Job For Dummies

1. Auflage 2014
ISBN: 978-1-118-90383-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: 0 - No protection

E-Book, Englisch, 264 Seiten, E-Book

Hone your analytic talents and become part of the next bigthing
Getting a Big Data Job For Dummies is the ultimate guideto landing a position in one of the fastest-growing fields in themodern economy. Learn exactly what "big data" means, why it's soimportant across all industries, and how you can obtain one of themost sought-after skill sets of the decade. This book walks youthrough the process of identifying your ideal big data job, shapingthe perfect resume, and nailing the interview, all in oneeasy-to-read guide.
Companies from all industries, including finance, technology,medicine, and defense, are harnessing massive amounts of data toreap a competitive advantage. The demand for big data professionalsis growing every year, and experts forecast an estimated 1.9million additional U.S. jobs in big data by 2015. Whether yourniche is developing the technology, handling the data, or analyzingthe results, turning your attention to a career in big data canlead to a more secure, more lucrative career path. Getting a BigData Job For Dummies provides an overview of the big datacareer arc, and then shows you how to get your foot in the doorwith topics like:
* The education you need to succeed
* The range of big data career path options
* An overview of major big data employers
* A plan to develop your job-landing strategy
Your analytic inclinations may be your ticket to long-lastingsuccess. In a highly competitive job market, developing your dataskills can create a situation where you pick your employer ratherthan the other way around. If you're ready to get in on the groundfloor of the next big thing, Getting a Big Data Job ForDummies will teach you everything you need to know to getstarted today.

Autoren/Hrsg.

Williamson, Jason

Inhaltsverzeichnis

Introduction 1
Part I: Getting a Job in Big Data 5
Chapter 1: The Big Picture of Big Data Jobs 7
Chapter 2: Seeing Yourself in a Big Data Job 17
Chapter 3: Key Big Data Concepts 29
Part II: Getting Your Big Data Education 47
Chapter 4: Roles in Big Data Revealed 49
Chapter 5: Foundations of a Big Data Education 63
Chapter 6: Making Your Own Way (For the Experienced Professional) 73
Chapter 7: Knowing Your Big Data Tools 85
Part III: Finding a Job with the Right Organization 101
Chapter 8: Life as a Consultant 103
Chapter 9: Working as an In-House Big Data Specialist 115
Chapter 10: Living on the Edge with a Startup 123
Chapter 11: Serving in the Public Sector or Academia 131
Part IV: Developing a Job-Landing Strategy 139
Chapter 12: Building Your Network and Brand 141
Chapter 13: Creating a Winning Résumé 151
Chapter 14: Preparing to Nail Your Interview 163
Part V: The Part of Tens 183
Chapter 15: Ten Ways to Maximize Social Media in Your Job Hunt 185
Chapter 16: Ten Interview Questions and Answers You Need to Know 191
Chapter 17: Ten Free Data Science Tools and Applications 197
Part VI: Appendixes 211
Appendix A: Resources 213
Appendix B: Glossary 219
Index 229

Über Autor(innen)

Jason Williamson is an assistant professor at theUniversity of Virginia's McIntire School of Commerce. He hasworked with leading Fortune 100 companies including Oracle, GE, andCapital One, and was the co-founder and CTO of BuildLinks, theconstruction industry's first SaaS/CRM offering.