Java Platform, Enterprise Edition

Java EE is used for developing Web Applications that Run with the help of Web Browser.

Java EE

The Java Platform, Enterprise Edition (Java EE) is a collection of Java APIs owned by Oracle that software developers can use to write server-side applications. It was formerly known as Java 2 Platform, Enterprise Edition, or J2EE.

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JAVA Techonologies

HTTP client technologies

For dealing with HTTP-based clients, Java EE includes the Java API for WebSocket programming, an API for JSON Processing, the JSF and Servlet APIs and the JSP Standard Tag Library (JSTL).

Database and resource access technologies

For interacting with external and back-end systems, Java EE includes JavaMail, a standard connector architecture, a Java Message Service (JMS) API and a Java Transaction API (JTA) for enforcing two-phase commits.

REST and web service technologies

To help with the development and deployment of REST, SOAP, XML and JSON based web services, the Java APIs for RESTful Web Services (JAX-RS) and XML based web services (JAX-WS) are included, along with APIs for XML messaging and XML registries (JAXR).

Java EE security and container management

For implementing custom Java EE security and managing Java EE containers, software developers have access to the Java Authorization Contract for Containers and the Java Authentication Service Provider Interface for Containers.

Who's using it?

Travel and hospitality

Keeping customers happy is key to the travel and hotel industry, but customer satisfaction can be hard to gauge - especially in a timely manner. Resorts and casinos, for example, have only a short window of opportunity to turn around a customer experience that?s going south fast. Big data analytics gives these businesses the ability to collect customer data, apply analytics and immediately identify potential problems before it?s too late.

Health care

Big data is a given in the health care industry. Patient records, health plans, insurance information and other types of information can be difficult to manage - but are full of key insights once analytics are applied. That?s why big data analytics technology is so important to heath care. By analyzing large amounts of information - both structured and unstructured - quickly, health care providers can provide lifesaving diagnoses or treatment options almost immediately.


Certain government agencies face a big challenge: tighten the budget without compromising quality or productivity. This is particularly troublesome with law enforcement agencies, which are struggling to keep crime rates down with relatively scarce resources. And that's why many agencies use big data analytics; the technology streamlines operations while giving the agency a more holistic view of criminal activity.


Customer service has evolved in the past several years, as savvier shoppers expect retailers to understand exactly what they need, when they need it. Big data analytics technology helps retailers meet those demands. Armed with endless amounts of data from customer loyalty programs, buying habits and other sources, retailers not only have an in-depth understanding of their customers, they can also predict trends, recommend new products - and boost profitability.