While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution. Authors Ted Malaska and Jonathan Seidman guide you through the major components necessary to start, architect, and develop successful big data projects.Everyone from CIOs and COOs to lead architects and developers will exp...

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...

If you’re a developer with core Java SE skills, this hands-on book takes you through the language changes in Java 8 triggered by the addition of lambda expressions. You’ll learn through code examples, exercises, and fluid explanations how these anonymous functions will help you write simple, clean, library-level code that solves business problems.Lambda expressions are a fairly simple change to Java, and the first part of the book shows you how to use them properly. Later chapters ...

Mobile devices outnumber desktop and laptop computers three to one worldwide, yet little information is available for designing and developing mobile applications. Mobile Design and Development fills that void with practical guidelines, standards, techniques, and best practices for building mobile products from start to finish. With this book, you'll learn basic design and development principles for all mobile devices and platforms. You'll also explore the more advanced capabiliti...

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...

How can you take advantage of the Django framework to integrate complex client-side interactions and real-time features into your web applications? Through a series of rapid application development projects, this hands-on book shows experienced Django developers how to include REST APIs, WebSockets, and client-side MVC frameworks such as Backbone.js into new or existing projects.Learn how to make the most of Django’s decoupled design by choosing the components you need to build the...

Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters.Complete w...

This practical guide leads you through numerous aspects of working with PostgreSQL. Step by step examples allow you to easily set up and extend PostgreSQL. "PostgreSQL Server Programming" is for moderate to advanced PostgreSQL database professionals. To get the best understanding of this book, you should have general experience in writing SQL, a basic idea of query tuning, and some coding experience in a language of your choice.

Familiarize yourself with all of Kotlin's features with this in-depth guideKey Features? Introduction to running, setup and tools of Kotlin code ? Writing structured and readable object-oriented code using new features alongside lambdas and higher order functions ? Writing unit tests and integrating Kotlin tests with Java code in a transitioning code base ? Guide through testing, concurrency and microservices ? Leveraging Kotlin?s extensions to the Java collecti...

Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a practical, actionable view of big data by working with real data and real problems.Perfect for beginners, this book’s approach will also appeal to experienced practitioners who want to br...

Writing code is the easy part of your work as a software developer. This practical book lets you explore the other 90%—everything from requirements discovery and rapid prototyping to business analysis and designing for maintainability. Instead of providing neatly packaged advice from on high, author Gregory Brown presents detailed examples of the many problems developers encounter, including the thought process it takes to solve them.He does this in an unusual and entertaining fash...

Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.It is not uncommon for a real-world data set to fail to be easily managed. The set may not fit well into access memory or may require prohibitively long processing. These are significant challenges to skilled software engineers and they can render the standard Jupyter system unusable.