Ergebnis für "Big data" in Alle Kategorien

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.

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.

There is so much buzz around big data. We all need to know what it is and how it works. 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 shows you how to implement the same practices that leading firms have used to access new dimensions of profitability. You'll learn from clear explanations and countless examples how successful organisations large and small use the SMART model to get ahead.

Author Martin Kleppmann helps you navigate the diverse data 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.

"Big Data" is on the covers of Science, Nature, The Economist, and Wired magazines, on the front pages of the Wall Street Journal and The New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure.

From technology, media, and retail to sport teams, government agencies, and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety, and so much more. Organized for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved, and the processes put in place to make it practical, as well as the technical details, challenges, and lessons learned from each unique scenario.

Die "totale Überwachung" ... sie ist keine Dystopie mehr, sondern die nackte Realität. Das erleben T-Rex und Nolo am eigenen Leib, als sie plötzlich am Berliner Flughafen von Sicherheitsbeamten in Gewahrsam genommen werden. Den Vorwand dafür liefert die Basis für eine Recherche, die keinen von uns kalt lassen sollte, denn sie betrifft uns alle, jeden Tag.

This new edition - more than 50 percent new and revised - is a significant update from the previous one and reveals how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics, such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.

Warum man auf Basis von Daten meist bessere Entscheidungen für sein Leben fällt und unser Gefühl oft trügt. Entscheidungen treffen ist nicht immer leicht. Viele konsultieren Freunde und Familie, suchen im Internet nach Rat oder vertiefen sich in Selbsthilfe-Literatur. Die meisten entscheiden dann aber doch nach Bauchgefühl. Was sich gut anfühlt, wird schließlich auch gut sein, oder? Doch unsere Intuition und unsere gefühlten Wahrheiten sind weit weniger zuverlässig, als man glauben mag, weiß Seth Stephens-Davidowitz.

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.

The world of marketing is undergoing major change. Sophisticated algorithms can test billions of marketing messages and measure results, and shift the weight of campaigns - all in real time. What’s next? A complete transformation of marketing as we know it, where machines themselves design and implement customized advertising tactics at virtually every point of digital contact.

We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we can get a job or a loan, how much we pay for health insurance—are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.

Do you want to learn about business intelligence but don't feel like reading a boring textbook? In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively. In this audiobook, you will be introduced to the concept of business intelligence.

Like it or not, your every move is being watched and analyzed. Consumers' identities are being stolen, and a person's every step is being tracked and stored. What once might have been dismissed as paranoia is now a hard truth, and privacy is a luxury few can afford or understand. In this explosive yet practical book, Kevin Mitnick illustrates what is happening without your knowledge - and he teaches you "the art of invisibility".

By the end of on average day in the early 21st century, human beings searching the Internet will amass eight trillion gigabytes of data. This staggering amount of information - unprecedented in history - can tell us a great deal about who we are - the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than 20 years ago seemed unfathomable.

Your data has already been sold...Get it back. There are so many times when we are online, and we need to make sure that our data is safe. We assume that we are doing a good job with a bit of anti-virus protection and carefully selecting what sites we visit. But when some of the big companies we trust, including Facebook, Google, and more, are willing to gather up as much data as they can about all our lives (whether online or not) and then sell it make money, it’s hard to know how safe our information really is.

In our age of accelerating progress in so many fields, it’s easy to lose sight of the underlying innovation that makes the data analytics revolution possible. These 24 lectures introduce you to the key concepts, methods, and accomplishments of this versatile approach to problem solving. You need no expertise in mathematics to follow this exciting story. Tim Chartier, professor of mathematics and computer science, explains the basic computational techniques used in data analytics, but his focus is on how these ideas are applied and the amazing results they achieve.

Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values, and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits, and identify new business opportunities.

¿Estás utilizando inteligentemente toda la data recopilada y almacenada? En un escenario de feroces transformaciones digitales, debemos ser capaces de ayudar a nuestras organizaciones a salir airosas de estos cambios y ser competentes al desarrollar empresas basadas en datos (data driven). No se trata de trabajar con hojas de cálculo u otros mecanismos tradicionales, sino de emplear una gestión eficaz de los datos que genere enormes beneficios para las instituciones y para todo aquel que emprenda en el mundo de hoy.

Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined.