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
Data Analytics: Essentials to master Data Analytics and get your business to the next level (Data Science, Big Data, Data Analytics)
☆★☆Read for FREE with Kindle Unlimited!☆★☆Data Analytics: Essentials to master Data Analytics Choose to understand Data Analytics! If you want to learn about data analytics, statistical informations, and how to leverage your business get your copy today. Take it now!The information in the world doubles every 20 months. Important data sources are business and industrial processes, text and structured databases, images and videos, and physical and biomedical data. Data analytics allows finding relevant information, structures, and patterns, to gain new insights, to identify causes and effects, to predict future developments, or to suggest optimal decisions. We need models and algorithms to collect, preprocess, analyze, and evaluate data, from various fields such as statistics, machine learning, pattern recognition, system theory, operations research, or artificial intelligence. With this book, you will learn about the most important methods and algorithms for data analytics. You will be able to choose appropriate methods for specific tasks and apply these in your own data analytics projects. You will understand the basic concepts of the growing field of data analytics, which will allow you to keep pace and to actively contribute to the advancement of the field. Here Is A Preview Of What You'll Learn...
- What are data analytics
- How important is big data in your business
- The advantage getting a better understanding of data management Examples and practical methods to implement
- Much,much more!
Publication date: 04/02/2017Kindle book details: Kindle Edition, 45 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
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
AN AMAZON #1 BESTSELLER CYBERPUNKIf you think artificial intelligence is dangerous, then you don’t know the real threat to humanity’s future… Luna Valencia is the founder of the hottest big data and artificial intelligence startup in history. She’s about to become incredibly rich and powerful. But just when she’s about to take her company public, her world begins to fall apart. On the day of her startup’s IPO, a stock exchange shooter plummets Luna into a downward spiral toward a threat more menacing than she ever imagined possible. Faced with losing her company, her entire world, Luna searches for answers to a series of terrifying accusations. Failing to uncover the truth could destroy her company… but success would get her killed. Big Data is a fresh approach to the artificial intelligence sci-fi thriller. If you like fast-paced action, heart-stopping tension, and tech-filled worlds set in the near future, then you’ll love Lucas Carlson’s latest novel. Buy Big Data to discover the AI twist today!
Published by: Craftsman Founder | Publication date: 09/11/2016Kindle book details: Kindle Edition, 405 pages
Less than 0.5 per cent of all data is currently analysed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage.Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.
Published by: Kogan Page | Publication date: 04/03/2017Kindle book details: Kindle Edition, 200 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 relational databases, 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 architectures
Published by: O'Reilly Media | Publication date: 03/16/2017Kindle book details: Kindle Edition, 614 pages
Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
The Ultimate Guide to Data Science and AnalyticsThis practical guide is accessible for the reader who is relatively new to the field of data analytics, while still remaining robust and detailed enough to function as a helpful guide to those already experienced in the field. Data science is expanding in breadth and growing rapidly in importance as technology rapidly integrates ever deeper into business and our daily lives. The need for a succinct and informal guide to this important field has never been greater.RIGHT NOW you can get ahead of the pack!This coherent guide covers everything you need to know on the subject of data science, with numerous concrete examples, and invites the reader to dive further into this exciting field. Students from a variety of academic backgrounds, including computer science, business, engineering, statistics, anyone interested in discovering new ideas and insights derived from data can use this as a textbook. At the same time, professionals such as managers, executives, professors, analysts, doctors, developers, computer scientists, accountants, and others can use this book to make a quantum leap in their knowledge of big data in a matter of only a few hours. Learn how to understand this field and uncover actionable insights from data through analytics.UNDERSTAND the following key insights when you grab your copy today:
- WHY DATA IS IMPORTANT TO YOUR BUSINESS
- DATA SOURCES
- HOW DATA CAN IMPROVE YOUR BUSINESS
- HOW BIG DATA CREATES VALUE
- DEVELOPMENT OF BIG DATA
- CONSIDERING THE PROS AND CONS OF BIG DATA
- BIG DATA FOR SMALL BUSINESSES
- THE COST EFFECTIVENESS OF DATA ANALYTICS
- WHAT TO CONSIDER WHEN PREPARING FOR A NEW BIG DATA SOLUTION
- DATA GATHERING
- DATA SCRUBBING
- DESCRIPTIVE ANALYTICS
- INFERENTIAL STATISTICS
- PREDICTIVE ANALYTICS
- PREDICTIVE MODELS
- DESCRIPTIVE MODELING
- DECISION MODELING
- PREDICTIVE ANALYSIS METHODS
- MACHINE LEARNING TECHNIQUES
- DATA ANALYSIS WITH "R"
- ANALYTICAL CUSTOMER RELATIONSHIP MANAGEMENT (CRM)
- THE USE OF PREDICTIVE ANALYTICS IN HEALTHCARE
- THE USE OF PREDICTIVE ANALYTICS IN THE FINANCIAL SECTOR
- PREDICTIVE ANALYTICS & BUSINESS
- MARKETING STRATEGIES
- FRAUD DETECTION
- SHIPPING BUSINESS
- CONTROLLING RISK FACTORS
- THE REVOLUTION OF PREDICTIVE ANALYSIS ACROSS A VARIETY OF INDUSTRIES
- DESCRIPTIVE AND PREDICTIVE ANALYSIS
- CRUCIAL FACTORS FOR DATA ANALYSIS
- RESOURCES AND FLEXIBLE TECHNICAL STRUCTURE
- BUSINESS INTELLIGENCE
- HYPER TARGETING
- WHAT IS DATA SCIENCE?
- DATA MUNGING
- DEMYSTIFYING DATA SCIENCE
- SECURITY RISKS TODAY
- BIG DATA AND IMPACTS ON EVERYDAY LIFE
- FINANCE AND BIG DATA
- APPLYING SENTIMENT ANALYSIS
- RISK EVALUATION AND THE DATA SCIENTIST
- THE FINANCE INDUSTRY AND REAL-TIME ANALYTICS
- HOW BIG DATA IS BENEFICIAL TO THE CUSTOMER
- CUSTOMER SEGMENTATION IS GOOD FOR BUSINESS
- USE OF BIG DATA BENEFITS IN MARKETING
- GOOGLE TRENDS
- THE PROFILE OF A PERFECT CUSTOMER
- LEAD SCORING IN PREDICTIVE ANALYSIS
- EVALUATING THE WORTH OF LIFETIME VALUE
- BIG DATA ADVANTAGES AND DISADVANTAGES
- MAKING COMPARISONS WITH COMPETITORS
- DATA SCIENCE IN THE TRAVEL SECTOR
- SAFETY ENHANCEMENTS THANKS TO BIG DATA
- BIG DATA AND AGRICULTURE
- BIG DATA AND LAW ENFORCEMENT
- THE USE OF BIG DATA IN THE PUBLIC SECTOR
- BIG DATA AND GAMING
- PRESCRIPTIVE ANALYTICS
- GOOGLE’S “SELF-DRIVING CAR”
- AND MUCH MORE!
Publication date: 03/08/2017Kindle book details: Kindle Edition, 280 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