Javier Fernández González 是一名有着超过 10 年 Java 技术经验的软件架构师。他曾过担任过教师，研究员，程序员和分析员，现在是 Java 项目、特别是 J2EE 相关项目的架构师。在担任教师期间，他在 Java 、 J2EE 和 Struts 框架上有超过 1,000 个小时的教学时间。当研究员时，他曾在信息检索领域，用 Java 开发应用程序来处理大量的数据，并且是一些期刊文章及和会议演示的合作者。近些年来，他在不同的领域（比如公共行政，保险，医疗保健，交通，等等）为不同的客户开发 J2EE Web 应用程序。目前，他在欧洲最大的咨询公司（Capgemini，凯捷）担任软件架构师，为保险公司开发和维护应用程序。

Key Features Get detailed coverage of important recipes on multi-threading and parallel programmingThis book takes a close look at the Java 9 APIs and their impact on concurrencySee practical examples on thread safety, high-performance classes, safe sharing, and a whole lot more Book Description Writing concurrent and parallel programming applications is an integral skill for a...(展开全部)

This book covers: Basic concepts of concurrency and thread safety Techniques for building and composing thread-safe classes Using the concurrency building blocks in java.util.concurrent Performance optimization dos and don'ts Testing concurrent programs Advanced topics such as atomic variables, nonblocking algorithms, and the Java Memory Model

This book covers: Basic concepts of concurrency and thread safety Techniques for building and composing thread-safe classes Using the concurrency building blocks in java.util.concurrent Performance optimization dos and don'ts Testing concurrent programs Advanced topics such as atomic variables, nonblocking algorithms, and the Java Memory Model

This is book for Java developers who now want to learn Hibernate. Good knowledge and understanding of Java is preferred to allow efficient programming of the core elements and applications; it would be helpful if readers are familiar with the basics of SQL.

This book is for Java developers who are familiar with the fundamentals of data science and want to improve their skills to become a pro.

This book is for developers who want to become proficient with Java EE 8 for their enterprise application development. Basic knowledge of Java is assumed.

This book is for Java developers who are familiar with the fundamentals of data science and want to improve their skills to become a pro.

If you are a competent Java developer with a good understanding of concurrency but have no knowledge of how to effectively implement concurrent programs or use streams to make processes more efficient, then this book is for you.

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics.Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins.By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.