Key FeaturesBook DescriptionThis book is intended for software developers, system architects and analysts, big data project managers, and data scientists who wish to deploy big data solutions using the Cascading framework. You must have a basic understanding of the big data paradigm and should be familiar with Java development techniques.What you will learnFamiliarize yourself with tuples, pipes, taps, and flows and build your first Ca...

Learn how to design and develop distributed web services in Java, using RESTful architectural principles and the JAX-RS 2.0 specification in Java EE 7. By focusing on implementation rather than theory, this hands-on reference demonstrates how easy it is to get started with services based on the REST architecture.With the book’s technical guide, you’ll learn how REST and JAX-RS work and when to use them. The RESTEasy workbook that follows provides step-by-step instructions for insta...

The book is styled on a Cookbook, containing recipes - combined with free datasets - which will turn readers into proficient OpenRefine users in the fastest possible way. This book is targeted at anyone who works on or handles a large amount of data. No prior knowledge of OpenRefine is required, as we start from the very beginning and gradually reveal more advanced features. You don't even need your own dataset, as we provide example data to try out the book's recipes.

Key FeaturesBook DescriptionIf you are a data engineer, an application developer, or a data scientist who would like to leverage the power of Apache Spark to get better insights from big data, then this is the book for you.What you will learnInstall and configure Apache Spark with various cluster managersSet up development environmentsPerform interactive queries using Spark SQLGet to grips with realtime strea...

Java and Groovy go together like ham and eggs, and this book is a great opportunity to learn how to exploit Groovy 2 to the full. Packed with recipes, both intermediate and advanced, it's a great way to speed up and modernize your programming.Key FeaturesSimple and more advanced recipes to cover a broad number of topics and challengesWith scores of practical examples, this book will help you to build efficient, flexible, and well-integrated systems...

Key FeaturesBook DescriptionPython has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the research into diverse domains including economics, finance, bio...

Step-by-step recipes filled with practical code samples and engaging examples demonstrate Haskell in practice, and then the concepts behind the code. This book shows functional developers and analysts how to leverage their existing knowledge of Haskell specifically for high-quality data analysis. A good understanding of data sets and functional programming is assumed.

This book is ideal for GIS experts, developers, and system administrators who have had a first glance at GeoServer and who are eager to explore all its features in order to configure professional map servers. Basic knowledge of GIS and GeoServer is required.

This book is for JavaScript developers having basic web development knowledge and also for those who want to explore the security issues that arise from the use of JavaScript. Prior knowledge of how JavaScript is used, such as for DOM manipulation or to perform Ajax operations, is assumed.

Using a project-based approach, you will be able to learn the coolest aspects of working with Processing. Each project contains step-by-step explanations, diagrams, screenshots, and downloadable material to make learning Processing even easier.This book targets Processing developers ,visual artists, creative professionals, and students who want to move to the next level of learning Processing for gaining inspiration, work, or just for fun. The book assumes a basic understanding of programm...

Best Practices for Implementing Continuous Integration with Hudson Optimize productivity while reducing risk and complexity by adopting a highly agile, "automate everything" software design philosophy. Hudson Continuous Integration in Practice shows you how to streamline and stabilize each process in your development lifecycle. Get expert tips for deploying a Hudson server, managing test and reporting frameworks, using source code management (SCM), and incorporating third-p...

Key FeaturesBook DescriptionThis book is intended for the budding data scientist, predictive modeler, or quantitative analyst with only a basic exposure to R and statistics. It is also designed to be a reference for experienced professionals wanting to brush up on the details of a particular type of predictive model. Mastering Predictive Analytics with R assumes familiarity with only the fundamentals of R, such as the main data types, simple functions,...