Ente Nazionale Italiano di Unificazione(UNI) The Italian national standards body, a member of ISO.
A business, generally a large one.
Last updated: 1994-11-22
Enterprise Application Integration
Last updated: 1999-09-28
Enterprise JavaBeansJava and run on any EJB compliant server. They are operating system, platform, and middleware independent, preventing vendor lock-in. EJB servers provide system-level services (the "plumbing") such as transactions, security, threading, and persistence. The EJB architecture is inherently transactional, distributed, multi-tier, scalable, secure, and wire protocol neutral - any protocol can be used: IIOP, JRMP, HTTP, DCOM etc. EJB 1.1 requires RMI for communication with components. EJB 2.0 is expected to require support for RMI/IIOP. EJB applications can serve assorted clients: browsers, Java, ActiveX, CORBA etc. EJB can be used to wrap legacy systems. EJB 1.1 was released in December 1999. EJB 2.0 is in development. Sun claims broad industry adoption. 30 vendors are shipping server products implementing EJB. Supporting vendors include IBM, Fujitsu, Sybase, Borland, Oracle, and Symantec. An alternative is Microsoft's MTS (Microsoft Transaction Server). http://java.sun.com/products/ejb/. FAQ.
Last updated: 2000-04-20
Enterprise Report ManagementElectronic Report Management
Enterprise Resource Planning
(ERP) Any software system designed to support and automate the business processes of medium and large businesses. This may include manufacturing, distribution, personnel, project management, payroll, and financials.ERP systems are accounting-oriented information systems for identifying and planning the enterprise-wide resources needed to take, make, distribute, and account for customer orders. ERP systems were originally extensions of MRP II systems, but have since widened their scope. An ERP system also differs from the typical MRP II system in technical requirements such as relational database, use of object oriented programming language, computer aided software engineering tools in development, client/server architecture, and open system portability. JBOPS are the major producers of ERP software. "ERP Systems - Using IT to gain a competitive advantage", Shankarnarayanan S..
Last updated: 1999-07-27
Enterprise Systems CONnectivity
Last updated: 1997-03-31
The German company Software AG's implementation of DCOM under Unix and on IBM mainframes, released at the end of 1997. EntireX enables users to exchange their DCOM components between Windows 95, Windows NT, Unix and OS/390 and to build application programs with components running on any of those platforms.Home.
Last updated: 1999-02-05
In an entity-relationship model, an entity is a type of thing being modeled such as "person" or "product". Different entities have different sets of attributes such as "name" or "price" and are connected via relationships like "bought". Entities are closely related to classes.
Last updated: 2009-11-22
entity-relationship diagramentity-relationship model
An approach to data modelling proposed by P. Chen in 1976. The model says that you divide your database in two logical parts, entities (e.g. "customer", "product") and relations ("buys", "pays for").One of the first activities in specifying an application is defining the entities involved and their relationships, e.g. using an entity-relationship diagram to represent a model. ["The entity-relationship model: toward a unified view of data", P.P. Chen, ACM Transactions on Database Systems 1:1 pp 9-36, 1976].
Last updated: 2009-11-21
A measure of the disorder of a system. Systems tend to go from a state of order (low entropy) to a state of maximum disorder (high entropy).The entropy of a system is related to the amount of information it contains. A highly ordered system can be described using fewer bits of information than a disordered one. For example, a string containing one million "0"s can be described using run-length encoding as [("0", 1000000)] whereas a string of random symbols (e.g. bits, or characters) will be much harder, if not impossible, to compress in this way. Shannon's formula gives the entropy H(M) of a message M in bits:
H(M) = -log2 p(M)Where p(M) is the probability of message M.
Last updated: 1998-11-23
Entry Sequenced Data Set
Last updated: 1999-01-11