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...

Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together into a complete tailored application, based on your particular use case.To reinforce those lessons, the book’s second section provides detailed examples of architectures used in some of the most common...

Over 35 recipes to help you build, test, and run Spring applications using Spring BootKey FeaturesBook DescriptionSpring Boot is Spring's convention-over-configuration solution. This feature makes it easy to create Spring applications and services with absolute minimum fuss. Spring Boot has the great ability to be customized and enhanced, and is specifically designed to simplify development of a new Spring application. This book will provide many detai...

This book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.

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...

Key FeaturesBook DescriptionIf you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working kno...

Unleash the power of Spring MVC and build enterprise-grade, lightning-fast web applicationsAbout This BookConfigure Spring MVC to build logic-less controllers that transparently support the most advanced web techniquesSecure your developments with easy-to-write, reliable unit and end-to-end testsGet this fast-paced, practical guide to produce REST resources and templates as required by the latest front-end best practices

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building ...

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.

Use Spring Boot to build lightning-fast appsKey Features\[\*\] Get up to date with the defining characteristics of Spring Boot 2.0 in Spring Framework 5\[\*\] Learn to perform Reactive programming with SpringBoot\[\*\] Learn about developer tools, AMQP messaging, WebSockets, security, MongoDB data access, REST, and moreBook DescriptionSpring Boot provides a variety of features that address today's business needs along with to...