Learn how to automate your build, integration, release and deployment process with Jenkins, the popular Java-based open source tool that has revolutionized the way teams think about continuous integration (CI). This concise guide shows you how to seamlessly include Jenkins in the development process?and demonstrates how CI can save you time, money, and many headaches. Streamline software development with Jenkins, the popular Java-based open source tool that has revolutionized the way teams think about Continuous Integration (CI). This complete guide shows you how to automate your build, integration, release, and deployment processes with Jenkins?and demonstrates how CI can save you time, money, and many headaches. Ideal for developers, software architects, and project managers, Jenkins: The Definitive Guide is both a CI tutorial and a comprehensive Jenkins reference. Through its wealth of best practices and real-world tips, you´ll discover how easy it is to set up a CI service with Jenkins. * Learn how to install, configure, and secure your Jenkins server * Organize and monitor general-purpose build jobs * Integrate automated tests to verify builds, and set up code quality reporting * Establish effective team notification strategies and techniques * Configure build pipelines, parameterized jobs, matrix builds, and other advanced jobs * Manage a farm of Jenkins servers to run distributed builds * Implement automated deployment and continuous delivery
The Definitive Guide to DAX is the most comprehensive and authoritative guide to Microsoft´s DAX language for business intelligence and analytics. While other books cover only the basics, this guide offers expert guidance on everything intermediate-to-advanced Excel users and BI professionals need to know, from the basics to innovative high-performance techniques.
Programmers run into parsing problems all the time. Whether it´s a data format like JSON, a network protocol like SMTP, a server configuration file for Apache, a PostScript/PDF file, or a simple spreadsheet macro language--ANTLR v4 and this book will demystify the process. ANTLR v4 has been rewritten from scratch to make it easier than ever to build parsers and the language applications built on top. This completely rewritten new edition of the bestselling Definitive ANTLR Reference shows you how to take advantage of these new features.
How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.
Trade paperback. The fundamentals of the DAX language required for business intelligence, data modelling and analytics are presented by specialist trainer Ferrari and founder of DevLeap Russo.
You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop. Through several sample projects, you?ll learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow. You?ll also discover the features Spring Data adds to Spring?s existing JPA and JDBC support for writing RDBMS-based data access layers. * Learn about Spring?s template helper classes to simplify the use ofdatabase-specific functionality * Explore Spring Data?s repository abstraction and advanced query functionality * Use Spring Data with Redis (key/value store), HBase(column-family), MongoDB (document database), and Neo4j (graph database) * Discover the GemFire distributed data grid solution * Export Spring Data JPA-managed entities to the Web as RESTful web services * Simplify the development of HBase applications, using a lightweight object-mapping framework * Build example big-data pipelines with Spring Batch and Spring Integration
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.
If you´re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds.