Learning to Love Data Science
O'Reilly Media (Verlag)
978-1-4919-3658-0 (ISBN)
Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you’ll find out how far data science reaches.
With this anthology, you’ll learn how:
Analysts can now get results from their data queries in near real time
Indie manufacturers are blurring the lines between hardware and software
Companies try to balance their desire for rapid innovation with the need to tighten data security
Advanced analytics and low-cost sensors are transforming equipment maintenance from a cost center to a profit center
CIOs have gradually evolved from order takers to business innovators
New analytics tools let businesses go beyond data analysis and straight to decision-making
Mike Barlow is an award-winning journalist, author, and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in a number of industries.
Mike Barlow is an award-winning journalist, author and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in numerous industries. Mike is coauthor of The Executive's Guide to Enterprise Social Media Strategy (Wiley, 2011) and Partnering with the CIO: The Future of IT Sales Seen Through the Eyes of Key Decision Makers (Wiley, 2007). He is also the writer of many articles, reports, and white papers on marketing strategy, marketing automation, customer intelligence, business performance management, collaborative social networking, cloud computing, and big data analytics. Over the course of a long career, Mike was a reporter and editor at several respected suburban daily newspapers, including The Journal News and the Stamford Advocate. His feature stories and columns appeared regularly in The Los Angeles Times, Chicago Tribune, Miami Herald, Newsday, and other major US dailies. Mike is a graduate of Hamilton College. He is a licensed private pilot, an avid reader, and an enthusiastic ice hockey fan. Mike lives in Fairfield, Connecticut, with his wife and two children.
Chapter 1The Culture of Big Data Analytics
It’s Not Just About Numbers
Playing by the Rules
No Bucks, No Buck Rogers
Operationalizing Predictability
Assembling the Team
Fitting In
Chapter 2Data and Social Good
Hearts of Gold
Structuring Opportunities for Philanthropy
Telling the Story with Analytics
Data as a Pillar of Modern Democracy
No Strings Attached, but Plenty of Data
Collaboration Is Fundamental
Conclusion
Chapter 3Will Big Data Make IT Infrastructure Sexy Again?
Moore’s Law Meets Supply and Demand
Change Is Difficult
Meanwhile, Back at the Ranch…
Throwing Out the Baby with the Bathwater?
API-ifiying the Enterprise
Beyond Infrastructure
Can We Handle the Truth?
Chapter 4When Hardware Meets Software
Welcome to the Age of Indie Hardware
Mindset and Culture
Tigers Pacing in a Cage
Hardware Wars
Does This Mean I Need to Buy a Lathe?
Obstacles, Hurdles, and Brighter Street Lighting
Chapter 5Real-Time Big Data Analytics
Oceans of Data, Grains of Time
How Fast Is Fast?
How Real Is Real Time?
The RTBDA Stack
The Five Phases of Real Time
How Big Is Big?
Part of a Larger Trend
Chapter 6Big Data and the Evolving Role of the CIO
A Radical Shift in Focus and Perspective
Getting from Here to There
Behind and Beyond the Application
Investing in Big Data Infrastructure
Does the CIO Still Matter?
From Capex to Opex
A More Nimble Mindset
Looking to the Future
Now Is the Time to Prepare
Chapter 7Building Functional Teams for the IoT Economy
A More Fluid Approach to Team Building
Raising the Bar on Collaboration
Worlds Within Worlds
Supply Chain to Mars
Rethinking Manufacturing from the Ground Up
Viva la Revolución?
Chapter 8Predictive Maintenance: A World of Zero Unplanned Downtime
Breaking News
Looking at the Numbers
Preventive Versus Predictive
Follow the Money
Not All Work Is Created Equal
Building a Foundation
It’s Not All About Heavy Machinery
The Future of Maintenance
Chapter 9Can Data Security and Rapid Business Innovation Coexist?
Finding a Balance
Unscrambling the Eggs
Avoiding the “NoSQL, No Security” Cop-Out
Anonymize This!
Replacing Guidance with Rules
Not to Pass the Buck, but…
Chapter 10The Last Mile of Analytics: Making the Leap from Platforms to Tools
Inching Closer to the Front Lines
The Future Is So Yesterday
Above and Beyond BI
Moving into the Mainstream
Transcending Data
| Erscheint lt. Verlag | 15.12.2015 |
|---|---|
| Verlagsort | Sebastopol |
| Sprache | englisch |
| Maße | 153 x 229 mm |
| Gewicht | 246 g |
| Einbandart | kartoniert |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | Big Data • Big Data and Data Mining • Data Science • Datenanalyse |
| ISBN-10 | 1-4919-3658-4 / 1491936584 |
| ISBN-13 | 978-1-4919-3658-0 / 9781491936580 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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