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- Elsevier Science 2014; US$ 79.95
High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming ? illustrating the most effective ways to better tap the computational potential of systems with Intel Xeon Phi coprocessors and Intel Xeon processors or other multicore processors. The book includes examples of successful... more...
- O'Reilly Media 2013; US$ 29.99
Building distributed applications is difficult enough without having to coordinate the actions that make them work. This practical guide shows how Apache ZooKeeper helps you manage distributed systems, so you can focus mainly on application logic. Even with ZooKeeper, implementing coordination tasks is not trivial, but this book provides good practices... more...
- O'Reilly Media 2012; US$ 16.99
Even as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. This hands-on guide introduces you to Storm, a distributed, JVM-based system for processing streaming data. Through simple tutorials, sample Java code, and a complete real-world scenario, you?ll learn how to build... more...
- O'Reilly Media 2012; US$ 12.99
What are your organization?s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques... more...
- O'Reilly Media 2012; US$ 29.99
Run your entire corporate IT infrastructure in a cloud environment that you control completely?and do it inexpensively and securely with help from this hands-on book. All you need to get started is basic IT experience. You?ll learn how to use Amazon Web Services (AWS) to build a private Windows domain, complete with Active Directory, enterprise... more...
- O'Reilly Media 2012; US$ 31.99
What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they?ve recovered from nasty data problems. From cranky storage to poor representation... more...
- O'Reilly Media 2014; US$ 33.99
Design, deploy, and maintain your own private or public Infrastructure as a Service (IaaS), using the open source OpenStack platform. In this practical guide, experienced developers and OpenStack contributors show you how to build clouds based on reference architectures, as well as how to perform daily administration tasks. Designed for horizontal... more...
- O'Reilly Media 2014; US$ 18.99
Finding Data Anomalies You Didn't Know to Look For Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what ?suspects? you?re looking for. This O?Reilly report... more...
- O'Reilly Media 2014; US$ 25.99
Why a book about logs? That?s easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don?t think much about them, this short book shows you why logs are worthy of your attention. Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows... more...