Welcome!

Adobe Flex Authors: Matthew Lobas, PR.com Newswire, Shelly Palmer, Kevin Benedict

Related Topics: Java IoT, Weblogic, Machine Learning , Recurring Revenue

Java IoT: Article

REA Is Where RIA Becomes the Norm

JDeveloper 11g is a complete end-to-end development platform

Oracle on Ulitzer

Do you believe that the day when programmers could focus on one language in their jobs is gone? Thanks to the ever-changing IT landscape and the uncertain financial times, contemporary developers are expected to work with a wide range of platforms, frameworks, languages as essentially "masters of all and specialists in none." You need your IDE to move with the times too, moving beyond the simple compiler and debugger to solve the challenges that contemporary developers face. Oracle JDeveloper is such an IDE. From a fledging Java IDE over 10 years ago, today JDeveloper 11g is a complete end-to-end development platform, including a strong declarative programming model that removes the need to write everything by hand in Java, a mature framework used by Oracle itself in its own products that encompasses Object-Relational Mapping (ORM) and Web 2.0 functionality out-of-the-box, delivered on one of the strongest application server platforms in the industry, and ultimately assisting you, the modern programmer, in meeting your day-to-day IT challenges.

Early on a key differentiator between JDeveloper and sibling Java IDEs was Oracle's focus on Java EE end-to-end development, where the complete tool supported not only Java mid-tier programming out-of-the-box, but also database development and user interface design, without having to download separate plug-ins. Unlike other Java centric vendors, Oracle recognized - thanks to its own application development - that an application is more than just middle-tier Java code; an application is comprised of many moving parts including a persistence layer, user interface technologies, and Java mid-tier code, all of which an end-to-end IDE should ideally assist with.

JDeveloper has all the things you'll need for your run-of-the-mill Java EE development from EJB 3.0 and JPA modelling, through an advance code editor to visual JSF page designs - but what really makes JDeveloper unique in the landscape of Java IDEs is the integration it provides with a development framework that encapsulates all of those technologies and streamlines the development experience - this is the Oracle Application Development Framework (ADF).

More Stories By Chris Muir

Chris Muir, an Oracle ACE Director, senior developer and trainer, and frequent blogger at http://one-size-doesnt-fit-all.blogspot.com, has been hacking away as an Oracle consultant with Australia's SAGE Computing Services for too many years. Taking a pragmatic approach to all things Oracle, Chris has more recently earned battle scars with JDeveloper, Apex, OID and web services, and has some very old war-wounds from a dark and dim past with Forms, Reports and even Designer 100% generation. He is a frequent presenter and contributor to the local Australian Oracle User Group scene, as well as a contributor to international user group magazines such as the IOUG and UKOUG.

Comments (2)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
In an age of borderless networks, security for the cloud and security for the corporate network can no longer be separated. Security teams are now presented with the challenge of monitoring and controlling access to these cloud environments, at the same time that developers quickly spin up new cloud instances and executives push forwards new initiatives. The vulnerabilities created by migration to the cloud, such as misconfigurations and compromised credentials, require that security teams t...
AI and machine learning disruption for Enterprises started happening in the areas such as IT operations management (ITOPs) and Cloud management and SaaS apps. In 2019 CIOs will see disruptive solutions for Cloud & Devops, AI/ML driven IT Ops and Cloud Ops. Customers want AI-driven multi-cloud operations for monitoring, detection, prevention of disruptions. Disruptions cause revenue loss, unhappy users, impacts brand reputation etc.
Today's workforce is trading their cubicles and corporate desktops in favor of an any-location, any-device work style. And as digital natives make up more and more of the modern workforce, the appetite for user-friendly, cloud-based services grows. The center of work is shifting to the user and to the cloud. But managing a proliferation of SaaS, web, and mobile apps running on any number of clouds and devices is unwieldy and increases security risks. Steve Wilson, Citrix Vice President of Cloud,...
As the fourth industrial revolution continues to march forward, key questions remain related to the protection of software, cloud, AI, and automation intellectual property. Recent developments in Supreme Court and lower court case law will be reviewed to explain the intricacies of what inventions are eligible for patent protection, how copyright law may be used to protect application programming interfaces (APIs), and the extent to which trademark and trade secret law may have expanded relev...
Cloud computing, big data and AI provide a new impetus and urgency to traditional enterprises to become digitally transformed businesses as they face disruption from new players who leverage technology to foster new business models. Traditionally, enterprises focused on digitizing processes and transactions. The incumbents can also be disruptors by leveraging AI for data-driven insights and innovate at scale on Cloud platform. They need to uncover the power of ERP/SAP using Cloud, AI and Big dat...
When Enterprises started adopting Hadoop-based Big Data environments over the last ten years, they were mainly on-premise deployments. Organizations would spin up and manage large Hadoop clusters, where they would funnel exabytes or petabytes of unstructured data.However, over the last few years the economics of maintaining this enormous infrastructure compared with the elastic scalability of viable cloud options has changed this equation. The growth of cloud storage, cloud-managed big data e...
Your applications have evolved, your computing needs are changing, and your servers have become more and more dense. But your data center hasn't changed so you can't get the benefits of cheaper, better, smaller, faster... until now. Colovore is Silicon Valley's premier provider of high-density colocation solutions that are a perfect fit for companies operating modern, high-performance hardware. No other Bay Area colo provider can match our density, operating efficiency, and ease of scalability.
The Japan External Trade Organization (JETRO) is a non-profit organization that provides business support services to companies expanding to Japan. With the support of JETRO's dedicated staff, clients can incorporate their business; receive visa, immigration, and HR support; find dedicated office space; identify local government subsidies; get tailored market studies; and more.
The graph represents a network of 1,329 Twitter users whose recent tweets contained "#DevOps", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 10 January 2019 at 23:50 UTC. The tweets in the network were tweeted over the 7-hour, 6-minute period from Thursday, 10 January 2019 at 16:29 UTC to Thursday, 10 January 2019 at 23:36 UTC. Additional tweets that were mentioned in this...
Artificial intelligence, machine learning, neural networks. We're in the midst of a wave of excitement around AI such as hasn't been seen for a few decades. But those previous periods of inflated expectations led to troughs of disappointment. This time is (mostly) different. Applications of AI such as predictive analytics are already decreasing costs and improving reliability of industrial machinery. Pattern recognition can equal or exceed the ability of human experts in some domains. It's devel...