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Big data bootcamp : what managers need to know to profit from the big data revolution /
Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp, a short but intensive overview, 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 th...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Berkeley, CA] :
Apress,
[2014]
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| Colección: | Apress business.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Feinleib, David, |e author. | |
| 245 | 1 | 0 | |a Big data bootcamp : |b what managers need to know to profit from the big data revolution / |c David Feinleib. |
| 264 | 1 | |a [Berkeley, CA] : |b Apress, |c [2014] | |
| 264 | 4 | |c ©2014 | |
| 300 | |a 1 online resource (xxiii, 225 pages) : |b illustrations | ||
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| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed November 28, 2017). | |
| 500 | |a Includes index. | ||
| 520 | |a Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp, a short but intensive overview, 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 marketing them better, 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. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a About the Author; Preface; Introduction; Chapter 1: Big Data; Big Data Crosses Over Into the Mainstream; How Google Puts Big Data Initiatives to Work; How Big Data Powers Amazon's Quest to Become the World's Largest Retailer; Big Data Finally Delivers the Information Advantage; What Big Data Is Disrupting; Big Data Applications Changing Your Work Day; Big Data Enables the Move to Real Time; Chapter 2: The Big Data Landscape; Big Data Market Growth; The Role of Open Source; Enter the Cloud; Overcoming the Challenges of the Cloud; Big Data Infrastructure; Big Data Applications. | |
| 505 | 8 | |a Online Advertising ApplicationsSales and Marketing Applications; Visualization Applications; Business Intelligence Applications; Operational Intelligence; Data as a Service; Data Cleansing; Data Privacy; Landscape Futures; Chapter 3: Your Big Data Roadmap; Goodbye SQL, Hello NoSQL; Compiling and Querying Big Data; Big Data Analysis: Getting What You Want; Big Data Analytics: Interpreting What You Get; Should I Throw Out My RDBMS?; Big Data Hardware; Data Scientists and Data Admins: Big Data Managers; Chief Data Officer: Big Data Owner; Your Big Data Vision; Chapter 4: Big Data at Work. | |
| 505 | 8 | |a How Data Informs Design at FacebookApple Defines Design; Big Data in Game Design; Better Cars with Big Data; Big Data and Music; Big Data and Architecture; Data-Driven Design; Big Data in Better Web Site Design; Chapter 5: Why a Picture is Worth a Thousand Words; Trend Spotting; The Many Types of Visualizations; How to Create Visualizations; Using Visualization to Compress Knowledge; Why Is Visual Information So Powerful?; Images and the Power of Sharing; Putting Public Data Sets to Use; Real-Time Visualization; Why Understanding Images Is Easy for Us and Hard for Computers. | |
| 505 | 8 | |a The Psychology and Physiology of VisualizationThe Visualization Multiplier Effect; Chapter 6: The Intersection of Big Data, Mobile, and Cloud Computing; How to Get Started with Big Data; The Latest Cloud-Based Big Data Technologies; Infrastructure; Platform; Application; Amazon Web Services (AWS); Public and Private Cloud Approaches to Big Data; How Big Data Is Changing Mobile; How to Build Your Own Big Data Applications; Defining the Business Need; Identifying Data Sources; Choosing the Right Infrastructure; Presenting Insights to Customers; Gathering the Engineering Team. | |
| 505 | 8 | |a Chapter 7: Doing a Big Data ProjectDefine the Outcome; Identify the Questions to Answer; Create Data Policies; Measure the Value; Identify Resources; Visualize the Results; Case Study: Churn Reduction; Big Data Workflow; Step 1: Create a Hypothesis; Step 2: Set Up the Systems; Step 3: Transform the Data; Step 4: Analyze the Data; Step 5: Act on the Data; Case Study: Marketing Analytics; Big Data Meets the Cloud; Step 1: Gather the Data; Step 2: Analyze the Results; Step 3: Iterate; Case Study: The Connected Car; In Short . . .; Chapter 8: The Next Billion-Dollar IPO: Big Data Entrepreneurship. | |
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