Extract, transform, load. In computing, extract, transform, and load (ETL) refers to a process in database usage and especially in data warehousing that: Extracts data from outside sourcesTransforms it to fit operational needs, which can include quality levelsLoads it into the end target (database, more specifically, operational data store, data mart, or data warehouse) ETL systems are commonly used to integrate data from multiple applications, typically developed and supported by different vendors or hosted on separate computer hardware.
The disparate systems containing the original data are frequently managed and operated by different employees. Open Source Features. Seam Framework - JBoss Seam. Spring Web Flow. The sweet spot for Spring Web Flow are stateful web applications with controlled navigation such as checking in for a flight, applying for a loan, shopping cart checkout, or even adding a confirmation step to a form.
What these scenarios have in common is one or more of the following traits: There is a clear start and an end point.The user must go through a set of screens in a specific order.The changes are not finalized until the last step.Once complete it shouldn't be possible to repeat a transaction accidentally Spring Web Flow provides a declarative flow definition language for authoring flows on a higher level of abstraction. DeviceOrientation Event Specification. Abstract This specification defines several new DOM events that provide information about the physical orientation and motion of a hosting device.
Status of This Document This section describes the status of this document at the time of its publication. CKEditor - WYSIWYG Text and HTML Editor for the Web. Welcome to Apache ServiceMix! Apache CXF. Apache Camel: Index. Apache ActiveMQ ™ Karaf 2.2.8.