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An XML appliance is a special-purpose network device used to secure, manage and mediate XML traffic. They are most popularly implemented in service-oriented architectures (SOA) to control XML-based web services traffic, and increasingly in cloud-oriented computing to help enterprises integrate on premises applications with off-premises cloud-hosted applications.
IBM WebSphere DataPower SOA Appliances is a family of pre-built, pre-configured rack-mountable network devices (XML appliances) designed to accelerate XML and Web Services deployments while extending SOA infrastructure. Originally these devices were created by DataPower Technology Inc., which was acquired by IBM in October 2005. [1]
Most integration appliances send or receive electronic messages from other computers that are exchanging electronic documents. Most Integration Appliances support XML messaging standards such as SOAP and Web services are frequently referred to as XML appliances and perform functions that can be grouped together as XML-Enabled Networking .
Since XML files, however, are not the most space-efficient means of storage, Mac OS X 10.2 introduced a new format where property list files are stored as binary files. Starting with Mac OS X 10.4 , this is the default format for preference files.
Xsan (/ ˈ ɛ k s æ n /) is Apple Inc.'s storage area network (SAN) or clustered file system for macOS. Xsan enables multiple Mac desktop and Xserve systems to access shared block storage over a Fibre Channel network. With the Xsan file system installed, these computers can read and write to the same storage volume at the same time.
Wireless Markup Language (WML), based on XML, is an obsolete markup language intended for devices that implement the Wireless Application Protocol (WAP) specification, such as mobile phones. It provides navigational support, data input, hyperlinks, text and image presentation, and forms, much like HTML (Hypertext Markup Language).
"Data warehouse appliance" is a term coined by Foster Hinshaw, [1] [2] the founder of Netezza.In creating the first data warehouse appliance, Hinshaw and Netezza used the foundations developed by Model 204, Teradata, and others, to pioneer a new category to address consumer analytics efficiently by providing a modular, scalable, easy-to-manage database system that’s cost effective.
Native XML databases are especially tailored for working with XML data. As managing XML as large strings would be inefficient, and due to the hierarchical nature of XML, custom optimized data structures are used for storage and querying. This usually increases performance both in terms of read-only queries and updates. [12]