Sibanjan Das offers up a tutorial for building a web-based cluster and prediction analysis application through using R with the open source Shiny framework. Oh yeah, and he embedded the app directly into this DZone article... shine on you crazy data scientist.
If functional programming has your attention, let's start with the basics: functions. You can store functions as objects, take them as arguments, return them, and more.
This guide will make sure your existing Java 7 and 8 legacy code will run on Java 9, with detailed examples and a focus on Java 9's impending modularity.
Cross-compiling for embedded Linux? Use the easy button. Designing software that will run in QEMU doesn't have to be a challenge if you're using buildroot.
DataWeave can be used to transform JSON to XML. This example looks at an API that returns information about books in JSON with a backend that only accepts XML input.
Developments in open data sharing have introduced more options for devs. XML is a widespread method for API integration, but that doesn't mean it's your best choice.
Serialization Filtering is the minimum that Oracle could provide in order to stop being blamed for not doing anything about the critical Deserialization attacks. It is a first step in the right direction but it does not completely solve the problem and is not suitable for enterprise production environments.
When it comes to dynamic SQL, all jOOQ statements are dynamic. You can also look to functional programming-optimized tricks like the Strategy Pattern to help.
In the final article to his comprehensive series on learning Oracle JET, Chris Muir goes over the Oracle JET Common Model & Collection API, a client-side JavaScript API for accessing remote REST web services and plugging them into our JET UI components.
CORE
