A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large.Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak?The key to answering these questions, and many more, is big data. “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.
Published by: Eamon Dolan/Houghton Mifflin Harcourt | Publication date: 03/05/2013Kindle book details: Kindle Edition, 257 pages
The world of business is changing at an ever accelerating rate. Businesses that choose not to adopt the latest technologies are destined to suffer the consequences of obsolescence. The best way for a small to medium sized business to improve profits and secure its future is through adopting data analytics and using big data to improve automation and solve optimization problems.Hidden within the data that we already collect for our businesses lies solutions to all types of questions. From understanding the best hours for your business to keep, to managing payroll, big data and data analytics can vastly improve the efficiency of any business. This is a concept has been well known to the world’s largest businesses, but for years has been gated behind the cost of expensive software solutions.Today there are more software solutions for small and medium size businesses than ever before. Whether you want to solve for optimization problems to better understand your business and customer base, or if you merely want to automate ordering items and paying your employees, big data and data analytics is the solution that you need. Continue reading and soon you will have the knowledge to secure your business for long into the future.
Publication date: 02/24/2017Kindle book details: Kindle Edition, 78 pages
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.
- Understand how data science fits in your organization—and how you can use it for competitive advantage
- Treat data as a business asset that requires careful investment if you’re to gain real value
- Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way
- Learn general concepts for actually extracting knowledge from data
- Apply data science principles when interviewing data science job candidates
Published by: O'Reilly Media | Publication date: 07/27/2013Kindle book details: Kindle Edition, 414 pages
This books fills the need for an easy and holistic book on essential Big Data technologies. Written in a lucid and simple language free from jargon and code, this book provides an intuition for Big Data from business as well as technological perspectives. This book is designed to provide the reader with the intuition behind this evolving area, along with a solid toolset of the major big data processing technologies such as Hadoop, MapReduce, Spark Streaming, and NoSql databases. A complete case study of developing a web log analyzer is included. The book also contains two primers on Cloud computing and Data Mining. It also contains two tutorials on installing Hadoop and Spark. The book contains caselets from real-world stories.Students across a variety of academic disciplines including business, computer science, statistics, engineering, and others attracted to the idea of harnessing Big Data for new insights and ideas from data, can use this as a textbook. Professionals in various domains, including executives, managers, analysts, professors, doctors, accountants, and others can use this book to learn in a few hours how to make the most of Big Data to monitor their infrastructure, discover new insights, and develop new data-based products. It is a flowing book that one can finish in one sitting, or one can return to it again and again for insights and techniques.Table of Contents1.Wholeness of Big Data2.Big Data Applications3.Big Data Architectures4.Distributed Systems with Hadoop5.Parallel Programming with MapReduce6.Advanced NoSQL databases7.Stream programming with Spark8.Data Ingest with Kafka9.Cloud Computing Primer10. Web Log Analyzer development 11.Data Mining Primer12.Appendix 1 on Installing Hadoop on AWS cloud13.Appendix 2 on Installing Spark
Publication date: 06/28/2016Kindle book details: Kindle Edition, 236 pages
Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work.
- Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals
- Authors are experts in information management, big data, and a variety of solutions
- Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more
- Provides essential information in a no-nonsense, easy-to-understand style that is empowering
Published by: For Dummies | Publication date: 04/02/2013Kindle book details: Kindle Edition, 336 pages
Longlisted for the National Book AwardNew York Times BestsellerA former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabricWe live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we get a car loan, how much we pay for health insurance—are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated.But as Cathy O’Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination: If a poor student can’t get a loan because a lending model deems him too risky (by virtue of his zip code), he’s then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a “toxic cocktail for democracy.” Welcome to the dark side of Big Data.Tracing the arc of a person’s life, O’Neil exposes the black box models that shape our future, both as individuals and as a society. These “weapons of math destruction” score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health.O’Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it’s up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.— Longlist for National Book Award (Non-Fiction)— Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology)— Kirkus, Best Books of 2016— New York Times, 100 Notable Books of 2016 (Non-Fiction)— The Guardian, Best Books of 2016— WBUR's "On Point," Best Books of 2016: Staff Picks— Boston Globe, Best Books of 2016, Non-Fiction
Published by: Crown | Publication date: 09/06/2016Kindle book details: Kindle Edition, 274 pages
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
- Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
- Make informed decisions by identifying the strengths and weaknesses of different tools
- Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
- Understand the distributed systems research upon which modern databases are built
- Peek behind the scenes of major online services, and learn from their architecture
Published by: O'Reilly Media | Publication date: 03/16/2017Kindle book details: Kindle Edition, 614 pages
Learn All About Data Analytics and SQL Programming with This Comprehensive Guide for Beginners Imagine what your next job interview would be like if you could speak to the evolving trends in big data and data analytics. How would potential employers view you if you had an additional skill set like SQL programming, an essential skill for almost any organization Best-selling author, Bruce Rogers, presents another classic beginner-friendly guide in SQL programming and his findings on the impacts of data analytics within our world today. Bruce has spent years studying and working in IT, and has accumulated a wealth of experience and knowledge in the field. Through his books, Bruce aims to teach the next generation of dreamers and creators how to leverage IT to make an impact not only in organizations, but across the world. In this book you'll learn:
- What is data analytics?
- Why is data analytics important?
- What is Big Data and Data Science?
- How does data science tie into big data?
- The basics of SQL
- BONUS: How to categorize information using DB operators
Publication date: 03/01/2017Kindle book details: Kindle Edition, 116 pages
From Detroit to Germany, Japan, and Korea, within the incumbent automotive industry there is amplifying conversation about the magnitude, extent and timing of the disruption that will result from the introduction of autonomous and driverless vehicles. This disruption will in turn result from innovations in technology and business models and changing attitudes toward car ownership. Catalyzed by the development of Autonomous, Connected and Electrified (ACE) vehicles and Mobility Services, the emerging hybrid mobility model will blend car ownership with on-demand car access. Big data generated inside and outside ACE vehicles and the exploitation of that data by machine intelligence technologies are key ingredients in this next generation of mobility. Together they offer a unique and still overlooked value creation opportunity. The book presents a strategy for capitalizing on the opportunities presented in our driverless future through the combination of startup innovations with corporate innovation efforts.
Publication date: 02/14/2017Kindle book details: Kindle Edition, 138 pages
Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance
Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform.
- Discusses how companies need to clearly define what it is they need to know
- Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions
- Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them
- Includes many high-profile case studies from the author's work with some of the world's best known brands
Published by: Wiley | Publication date: 01/09/2015Kindle book details: Kindle Edition, 256 pages