nach oben

2014 | Buch

Kapitel lesen Erstes Kapitel lesen

Big Data Bootcamp

What Managers Need to Know to Profit from the Big Data Revolution

verfasst von: David Feinleib

Verlag: Apress

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

Einloggen, um Zugang zu erhalten

Über dieses Buch

Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp explains what big data is and how you can use it in your company to become one of tomorrow’s market leaders. Along the way, it explains the very latest technologies, companies, and advancements.

Big data holds the keys to delivering better customer service, offering more attractive products, and unlocking innovation. That’s why, to remain competitive, every organization should become a big data company. It’s also why every manager and technology professional should become knowledgeable about big data and how it is transforming not just their own industries but the global economy.

And that knowledge is just what this book delivers. It explains components of big data like Hadoop and NoSQL databases; how big data is compiled, queried, and analyzed; how to create a big data application; and the business sectors ripe for big data-inspired products and services like retail, healthcare, finance, and education. Best of all, your guide is David Feinleib, renowned entrepreneur, venture capitalist, and author of Why Startups Fail. Feinleib’s Big Data Landscape, a market map featured and explained in the book, is an industry benchmark that has been viewed more than 150,000 times and is used as a reference by VMWare, Dell, Intel, the U.S. Government Accountability Office, and many other organizations. Feinleib also explains:

• Why every businessperson needs to understand the fundamentals of big data or get run over by those who do

• How big data differs from traditional database management systems

• How to create and run a big data project

• The technical details powering the big data revolution

Whether you’re a Fortune 500 executive or the proprietor of a restaurant or web design studio, Big Data Bootcamp will explain how you can take full advantage of new technologies to transform your company and your career.

Inhaltsverzeichnis

Frontmatter

Chapter 1. Big Data

What It Is, and Why You Should Care

Abstract

Scour the Internet and you’ll find dozens of definitions of Big Data. There are the three v’s—volume, variety, and velocity. And there are the more technical definitions, like this one from Edd Dumbill, analyst at O’Reilly Media: “Big Data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn’t fit the strictures of your database architectures. To gain value from this data, you must choose an alternative way to process it.”

David Feinleib

Chapter 2. The Big Data Landscape

Infrastructure and Applications

Abstract

Now that we’ve explored a few aspects of Big Data, we’ll take a look at the broader landscape of companies that are playing a role in the Big Data ecosystem. It’s easiest to think about the Big Data landscape in terms of infrastructure and applications.

David Feinleib

Chapter 3. Your Big Data Roadmap

Big Data: Where to Start

Abstract

When it comes to Big Data, it’s best to start with the end in mind. Thinking about how you want to act on your results after your data gathering and analysis is complete will help you navigate your way to a successful Big Data outcome.

David Feinleib

Chapter 4. Big Data at Work

How Data Informs Design

Abstract

When it comes to data and design, there’s a struggle going on. Some believe that the best designs come from gut instinct while others hold that design should be data-driven. Data does have a role to play in design and modern technologies can provide deep insight into how users interact with products—which features they use and which ones they don’t. This chapter explores how some of today’s leading companies, including Facebook and Apple, apply data to design and how you can bring a data-informed design approach to developing your own products.

David Feinleib

Chapter 5. Why a Picture is Worth a Thousand Words

How Big Data Helps Tell the Story

Abstract

It’s your first visit to Washington, D.C. Arriving in the capital of the United States, you’re excited to visit all the monuments and museums, see the White House, and scale the Washington Monument. To get from one place to another, you need to take the local public transit system, the Metro. That seems easy enough. There’s just one problem: you don’t have a map.

David Feinleib

Chapter 6. The Intersection of Big Data, Mobile, and Cloud Computing

Boon to App Development

Abstract

The intersection of Big Data, mobile, and cloud computing has created the perfect storm for the development of innovative new applications. Mobile visualization applications are providing dynamic insight into sales, marketing, and financial data from virtually anywhere. Cloud computing services are making it possible to store virtually unlimited amounts of data and access scalable, low-cost data processing functionality at the push of a button.

David Feinleib

Chapter 7. Doing a Big Data Project

Start with the End in Mind

Abstract

When it comes to Big Data, it’s best, as the old saying goes, to start with the end in mind. With Big Data, it’s easy to get lost in the data or the implementation. What matter most are the outcome you want to achieve and the business questions you want to answer. So the best place to start in Big Data is not with the data itself, but rather with your business objectives and questions.

David Feinleib

Chapter 8. The Next Billion-Dollar IPO: Big Data Entrepreneurship

Drive Data Like Billy Beane

Abstract

As the General Manager of the Oakland Athletics, Billy Beane faced a problem. Beane and the Oakland A’s had to field a competitive team without the big market budget of a team like the New York Yankees. In a story made famous by the movie Moneyball and the book of the same name by Michael Lewis, Beane turned to data and statistics.

David Feinleib

Chapter 9. Reach More Customers with Better Data—and Products

How Big Data Creates a Conversation Between Company and Customer

Abstract

No book on Big Data would be complete without a few words on the Big Data conversation. One of the biggest challenges to widespread adoption of Big Data is the nature of the Big Data conversation itself.

David Feinleib

Chapter 10. How Big Data Is Changing the Way We Live

Sectors Ripe for Big Data Projects

Abstract

The starting line at Ironman France 2012 was eerily quiet. There was a nervous tension in the air as 2,500 people got ready to enter the water and spend as many as the next 16 hours trying to complete what was for some the goal of a lifetime. Made famous by the Ironman World Championship held in Kona, Hawaii every year, an event that started out as a 15-person race in 1978 is now a global phenomenon.

David Feinleib

Chapter 11. Big Data Opportunities in Education

The Rise of Big Data Learning Analytics

Abstract

Netflix can predict what movie you should watch next and Amazon can tell what book you’ll want to buy. With Big Data learning analytics, new online education platforms can predict which learning modules students will respond better to and help get students back on track before they drop out. That’s important given that the United States has the highest college dropout rate of any OECD (Organisation for Economic Co-operation and Development) country, with just 46% of college entrants completing their degree programs., In 2012, the United States ranked 17th in reading, 20th in science, and 27th in math in a study of 34 OECD countries. The country’s rankings have declined relative to previous years.

David Feinleib

Chapter 12. Capstone Case Study: Big Data Meets Romance

Products, Services, and Love: How Big Data Plays Out in the Real World

Abstract

When it comes to developing new applications to help people meet, connect, and interact with each other, the opportunities are limitless. You can combine interesting new sources of data, such as people’s interests in music, movies, travel, or restaurants, with new technologies like mobile applications. For example, you could build an application that aggregates and analyzes data about people’s interests and then alerts them when they are near each other so they can meet up in person. Or you could build an application that monitors people’s activity levels, such as their sleep schedules, how active they are, and how many meetings they are in and warn them if their stress level is increasing—which could have a negative impact on their personal relationships.

David Feinleib

Appendix A. Big Data Resources

Abstract

The Big Data Landscape provides the most comprehensive list of Big Data software and services. The following are great launching points for getting started with Big Data:

David Feinleib

Backmatter

Titel: Big Data Bootcamp
verfasst von: David Feinleib
Verlag: Apress
Electronic ISBN: 978-1-4842-0040-7
Print ISBN: 978-1-4842-0041-4
DOI: https://doi.org/10.1007/978-1-4842-0040-7