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Apama (software)
Apama is a complex event processing (CEP) and event stream processing (ESP) engine, developed by Software AG. Apama serves as a platform for performing streaming analytics over a range of high volume/low latency inputs and applications, such as IoT devices, financial exchanges, fraud detection, social media and similar. History Apama Ltd. was founded in 1999 by Dr John Bates, Dr Giles Nelson and Dr Mohamad Afshar, who met while undertaking research at the Cambridge University Department of Computer Science and Technology. It was acquired by Progress Software for $25 million in 2005. In 2013, Software AG acquired it from Progress for an undisclosed amount. See also * Complex event processing (CEP) - A related technology for building and managing event-driven information systems. * Data Stream Management System (DSMS) - A type of software system for managing and querying data streams * Event correlation * Event-driven architecture — (EDA) is a software architecture p ...
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Software AG
Software GmbH, trading as Software AG, is a German multinational software corporation that develops enterprise software for business process management, integration, and big data analytics. Founded in 1969, the company is headquartered in Darmstadt, Germany, and has offices worldwide. In 2023, Silver Lake and Bain Capital made separate offers to buy the German company. In June, Software AG had most of its controlling interest acquired by Silver Lake, in a deal valued at 2.4 billion euros. History The company was founded in 1969 by six young employees at the consulting firm AIV (Institut für Angewandte Informationsverarbeitung). One of the founders was the mathematician Peter Schnell, who later became chairman of the board for many years. ADABAS was launched in 1971 as a high-performance transactional database management system. In 1979, Natural, a 4GL application development English-like language, that was mainly developed by Peter Pagé, was launched. The company continued ...
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Event Stream Processing
In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views streams, or sequences of events in time, as the central input and output objects of computation. Stream processing encompasses dataflow programming, reactive programming, and distributed data processing. Stream processing systems aim to expose parallel processing for data streams and rely on streaming algorithms for efficient implementation. The software stack for these systems includes components such as programming models and query languages, for expressing computation; stream management systems, for distribution and scheduling; and hardware components for acceleration including floating-point units, graphics processing units, and field-programmable gate arrays. The stream processing paradigm simplifies parallel software and hardware by restricting the parallel computation that can be performed. Given a se ...
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Pattern Matching
In computer science, pattern matching is the act of checking a given sequence of tokens for the presence of the constituents of some pattern. In contrast to pattern recognition, the match usually must be exact: "either it will or will not be a match." The patterns generally have the form of either sequences or tree structures. Uses of pattern matching include outputting the locations (if any) of a pattern within a token sequence, to output some component of the matched pattern, and to substitute the matching pattern with some other token sequence (i.e., search and replace). Sequence patterns (e.g., a text string) are often described using regular expressions and matched using techniques such as backtracking. Tree patterns are used in some programming languages as a general tool to process data based on its structure, e.g. C#, F#, Haskell, Java, ML, Python, Ruby, Rust, Scala, Swift and the symbolic mathematics language Mathematica have special syntax for expressing ...
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Operational Intelligence
An operational definition specifies concrete, replicable procedures designed to represent a construct. In the words of American psychologist S.S. Stevens (1935), "An operation is the performance which we execute in order to make known a concept." For example, an operational definition of "fear" (the construct) often includes measurable physiologic responses that occur in response to a perceived threat. Thus, "fear" might be operationally defined as specified changes in heart rate, electrodermal activity, pupil dilation, and blood pressure. Overview An operational definition is designed to model or represent a concept or theoretical definition, also known as a construct. Scientists should describe the operations (procedures, actions, or processes) that define the concept with enough specificity such that other investigators can replicate their research. Operational definitions are also used to define system states in terms of a specific, publicly accessible process of preparation ...
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Event-driven Architecture
Event-driven architecture (EDA) is a software architecture paradigm concerning the production and detection of Event (computing), events. Event-driven architectures are Continuous design, evolutionary in nature and provide a high degree of fault tolerance, performance, and scalability. However, they are complex and inherently challenging to Software testing, test. EDAs are good for complex and dynamic workloads. Overview An ''even'' can be defined as "a significant change in state (computer science), state". For example, when a consumer purchases a car, the car's state changes from "for sale" to "sold". A car dealer's system architecture may treat this state change as an event whose occurrence can be made known to other applications within the architecture. From a formal perspective, what is produced, published, propagated, detected or consumed is a (typically asynchronous) message called the event notification, and not the event itself, which is the state change that triggered the ...
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Event Correlation
Event correlation is a technique for making sense of a large number of events and pinpointing the few events that are really important in that mass of information. This is accomplished by looking for and analyzing relationships between events. History Event correlation has been used in various fields for many years: * since the 1970s, telecommunications and Industrial process, industrial process control; * since the 1980s, network management and systems management; * since the 1990s, IT service management, Publish–subscribe pattern, publish-subscribe systems (pub/sub), Complex Event Processing (CEP) and Security Information and Event Management (SIEM); * since the early 2000s, Distributed Event-Based Systems and Business Activity Monitoring (BAM). Examples and application domains Integrated management is traditionally subdivided into various fields: * layer by layer: network management, system management, Service Level Management, service management, etc. * by management functio ...
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Data Stream Management System
A data stream management system (DSMS) is a computer software system to manage continuous data streams. It is similar to a database management system (DBMS), which is, however, designed for static data in conventional databases. A DBMS also offers a flexible query processing so that the information needed can be expressed using queries. However, in contrast to a DBMS, a DSMS executes a ''continuous query'' that is not only performed once, but is permanently installed. Therefore, the query is continuously executed until it is explicitly uninstalled. Since most DSMS are data-driven, a continuous query produces new results as long as new data arrive at the system. This basic concept is similar to Complex event processing so that both technologies are partially coalescing. Functional principle One important feature of a DSMS is the possibility to handle potentially infinite and rapidly changing data streams by offering flexible processing at the same time, although there are only ...
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Progress Software
Progress Software Corporation is an American public company that produces software for creating and deploying business applications. Founded in Burlington, Massachusetts with offices in 16 countries, the company posted revenues of $531.3 million (USD) in 2021 and employs approximately 2100 people. History 1980s: DLC to Progress Software Progress Software was co-founded by several MIT graduates, including Joseph W. Alsop, Clyde Kessel, and Chip Ziering in 1981. Originally called Data Language Corporation (DLC), the company changed its name to Progress Software in 1987, the same name of its main product, Progress. 1990s: Public company In 1991, Progress Software joined the NASDAQ. 2000s: Broad expansion In 2002, Progress Software acquired Stylus Studio developer eXcelon Corporation for approximately $24 million. In 2003, Progress Software acquired DataDirect Technologies for $88 million. In 2004, Progress Software acquired Persistence Software for $16 million. In 2 ...
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Computer Laboratory, University Of Cambridge
The Department of Computer Science and Technology, formerly the Computer Laboratory, is the computer science department of the University of Cambridge. it employed 56 faculty members, 45 support staff, 105 research staff, and about 205 research students. The current Head of Department is Professor Alastair Beresford. History The department was founded as the Mathematical Laboratory under the leadership of John Lennard-Jones on 14 May 1937, though it did not get properly established until after World War II. The new laboratory was housed in the North Wing of the former Anatomy School, on the New Museums Site. Upon its foundation, it was intended "to provide a computing service for general use, and to be a centre for the development of computational techniques in the University". The Cambridge Diploma in Computer Science was the world's first postgraduate taught course in computing, starting in 1953. In October 1946, work began under Maurice Wilkes on EDSAC (''Electronic Del ...
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John Bates (technology Executive)
John Bates is a British computer scientist, and businessman. He has started several technology companies in the UK. Bates is CEO at ECM/ DMS vendor SER Group. Education Bates received his PhD in mobile and distributed computing (computer science) at the University of Cambridge computer laboratory in 1993. His PhD advisor was Jean Bacon. Career Earlier on, he was a lecturer and Fellow of St Catharine's College, Cambridge until 2000. At Cambridge, he led several research projects, often in collaboration with industry, and designed and taught courses covering operating systems, distributed systems, software engineering and mobile computing. Bates is an entrepreneur in the software industry, focusing on areas such as event-driven architectures, smart environments, business activity monitoring and Internet of Things. In 2011 ''Wall Street and Technology'' magazine named him as one of the "10 innovators of the decade". In 2012, 2013, 2014 and 2015, ''Institutional Investor'' n ...
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Complex Event Processing
Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), and deriving a conclusion from them. Complex event processing (CEP) consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from event streams as they arrive. The goal of complex event processing is to identify meaningful events (such as opportunities or threats) in real-time situations and respond to them as quickly as possible. These events may be happening across the various layers of an organization as sales leads, orders or customer service calls. Or, they may be news items, text messages, social media posts, business processes (such as supply chain), traffic reports, weather reports, or other kinds of data. An event may also be defined as a "change of state," when a measurement exceeds a predefined threshold of time, temperature, or other value. Analysts have suggest ...
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Java (programming Language)
Java is a High-level programming language, high-level, General-purpose programming language, general-purpose, Memory safety, memory-safe, object-oriented programming, object-oriented programming language. It is intended to let programmers ''write once, run anywhere'' (Write once, run anywhere, WORA), meaning that compiler, compiled Java code can run on all platforms that support Java without the need to recompile. Java applications are typically compiled to Java bytecode, bytecode that can run on any Java virtual machine (JVM) regardless of the underlying computer architecture. The syntax (programming languages), syntax of Java is similar to C (programming language), C and C++, but has fewer low-level programming language, low-level facilities than either of them. The Java runtime provides dynamic capabilities (such as Reflective programming, reflection and runtime code modification) that are typically not available in traditional compiled languages. Java gained popularity sh ...
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