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HBase in Action
HBase in Action

HBase is a NoSQL storage system designed for fast, random access to large volumes of data. It runs on commodity hardware and scales smoothly from modest datasets to billions of rows and millions of columns. HBase in Action is an experience-driven guide that shows you how to design, build, and run applications using HBase. First, it introduces you to the fundamentals of handling big data. Then, you'll explore HBase with the help of real applications and code samples and with just enough theory to back up the practical techniques. You'll take advantage of the MapReduce processing framework and benefit from seeing HBase best practices in action. ...
iOS in Practice
iOS in Practice

When you are building an iOS app, you want more than basic concepts - you want real answers to practical problems. You want iOS in Practice. This book distills the hard-won experience of iOS developer Bear Cahill into 98 specific iOS techniques on key topics including managing data, using media, location awareness, and many more. And the sample apps are wonderful! As you pull them apart, you'll see two things: experienced app development and creative design savvy in action. Examples written for iOS 6. ...
Hadoop in Practice
Hadoop in Practice

Hadoop in Practice collects 85 battle-tested examples and presents them in a problem/solution format. It balances conceptual foundations with practical recipes for key problem areas like data ingress and egress, serialization, and LZO compression. You'll explore each technique step by step, learning how to build a specific solution along with the thinking that went into it. As a bonus, the book's examples create a well-structured and understandable codebase you can tweak to meet your own needs. Hadoop in Practice collects 85 Hadoop examples and presents them in a problem / solution format. ...
Programming Google App Engine, 2nd Edition
Programming Google App Engine, 2nd Edition

Google App Engine makes it easy to create a web application that can serve millions of people as easily as serving hundreds, with minimal up-front investment. With Programming Google App Engine, Google engineer Dan Sanderson provides practical guidance for designing and developing your application on Google's vast infrastructure, using App Engine's scalable services and simple development model. Through clear and concise instructions, you'll learn how to get the most out of App Engine's nearly unlimited computing power. This second edition is fully updated and expanded to cover Python 2.7 and Java 6 support, multithreading, asynchronous service APIs, and the use of frameworks such as Django 1.3 and webapp2. ...
Beginning SQL
Beginning SQL

SQL works with databases to insert and extract data and is an international standard for manipulating data in databases. This hands-on resource covers everything from a review of SQL basics and database design to creating your own databases and using the SQL language in a variety of database applications. Packed with essential code, theories, concepts, and techniques, as well as a cache of useful examples, this comprehensive text will have you quickly designing your own databases and writing SQL code sufficient for many real-world situations. Practice exercises in each chapter help speed up your comprehension. ...
Beginning Visual C# 2010
Beginning Visual C# 2010

Beginning with C# 2010 programming basics such as variables, flow control, and object oriented programming, this invaluable book then moves into web and Windows programming and data access (databases and XML). All the while, the expert team of authors focuses on the tools that you need to program C#, the Visual C# 2010 development environment in Visual Studio® 2010. The step-by-step instructions and constructive examples featured throughout the book will show you how to program confidently with useful code in C# 2010. ...
Beginning Linux Programming, 4th Edition
Beginning Linux Programming, 4th Edition

Building on the success of its previous editions, this must-have guide continues its popular tutorial approach and brings you a straightforward introduction to developing programs for Linux and other UNIX-style operating systems. The author duo of experienced Linux programmers covers a wide range of topics to help you learn more about what Linux has to offer so you can maximize your programming time and your use of the Linux system. You'll progress from the basics of compiling programs, linking to libraries, and dealing with terminal input and output to more advanced subjects such as writing applications for the GNOME and KDE environments, storing data using MySQL, and debugging. ...
Professional ASP.NET MVC 3
Professional ASP.NET MVC 3

ASP.NET MVC 3 is the eagerly anticipated revision of Microsoft's approach for creating data-driven dynamic applications. Written by a team of Microsoft insiders, this in-depth book shows you how to use the new features and exciting capabilities of ASP.NET MVC 3. Beginning with a short introduction to the ASP.NET MVC framework, this resource quickly shows you each step to install and create an ASP.NET MVC project. In addition, practical tutorials reinforce concepts and prepare you to create real-world applications. ...
Beginning Database Design
Beginning Database Design

The perfect reference for programmers, administrators, or Web designers who are new to database development and are uncertain as to how to design and structure a database efficiently. Shows how to design and implement robust, scalable databases on any of the major relational database management systems, including Access, SQL Server, IBM DB2, MySQL, and Oracle. Covers all the key database design steps including modeling, normalization, SQL, denormalization, object-modeling, data warehousing, and performance. ...
MapReduce Design Patterns
MapReduce Design Patterns

Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you're using. Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mistakes when modeling your big data architecture. This book also provides a complete overview of MapReduce that explains its origins and implementations, and why design patterns are so important. All code examples are written for Hadoop. ...
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