Java Concurrency LiveLessons, Second Edition teaches you how to develop high-quality concurrent software applications and reusable frameworks through the use of patterns, object-oriented design and functional programming techniques, and Java language features, including Java 8 lambda expressions, parallel streams, and completable futures.
After taking this course, you can start mastering ExpressJS by building RESTful APIs for your single-page applications (powered by AngularJS, ReactJS, BackboneJS or any other front-end framework). With ExpressJS, developers can easily organize their code (middleware pattern), add more functionality (npm modules) and configure the server (configuration over convention).
You've tried to figure out what all those technical terms are all about (WTF is a reducer??) and you may even be convinced that you need a degree in Computer Science to be able to use Redux. You don't.
If you're building relational, time series, IoT, or real-time architectures using Hadoop, you should be familiar with Apache Kudu. Kudu enables fast analytics on fast data by completing Hadoop’s storage layers, providing a new option to achieve fast scans and fast random access from a single API. This Learning Path introduces you to Apache Kudu, exploring what it is, when to use it, and how to use it in conjunction with popular Hadoop ecosystem tools. You’ll apply this knowledge by building and running a real-time analytical application using Kudu, Impala, Kafka, and Spark.