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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.

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.

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.

KI wird unseren Arbeitsmarkt verändern, doch das ist nicht das Problem: Unser Sozialleben macht uns zum Menschen. Doch wenn unser bester Freund eine KI ist – haben wir dann noch eins? Karsten Brensing wirft einen Blick auf den Einzug von KI in die Mitte unserer Gesellschaft. Die Veränderungen werden vor allem auch unser Sozialleben betreffen. Tierisch glücklich sein in einer komplexen Welt. Trotz seiner mentalen Leistungsfähigkeit und des technischen Fortschritts ist der Mensch im Laufe der Evolution nicht gleichsam zufriedener geworden.

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.

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".

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.

If you are looking to master the fundamental concepts of data science driven by the Python programming language to develop a solid understanding of all the latest cutting-edge technologies, then this is just that one comprehensive audiobook you have been waiting for. This audiobook is carefully narrated to help you master the core concepts of Python programming and utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in such volume, even if you have never learned any programming languages before.

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 best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.

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. 

¿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.

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.

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.

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.

In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies.

Demystifizieren wir zusammen die Welt der großen Daten! Fast jeder nutzt heute Smartphones und Messenger und damit Big Data! Aber weißt du auch, wie im Hintergrund all diese Daten konkret generiert, gesammelt und ausgewertet werden? Praktische Tipps zum Thema Datenschutz, Smartphones und anonymes Surfen. Mache dich mit diesem Hörbuch zu einem wahren Datenschutzexperten!

An architecture heavy podcast on the latest and greatest in Big Data by engineers. We are authors of O'Reilly's Hadoop Application Architectures and frequent speakers at various conferences on similar topics. Hosted on Acast. See acast.com/privacy for more information.

The Age of Prediction is about two powerful, and symbiotic, trends: the rapid development and use of artificial intelligence and big data to enhance prediction, as well as the often paradoxical effects of these better predictions on our understanding of risk and the ways we live. Beginning with dramatic advances in quantitative investing and precision medicine, this book explores how predictive technology is quietly reshaping our world in fundamental ways, from crime fighting and warfare to monitoring individual health and elections.