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Truviso
Truviso (pronounced ''true-VEE-so'') is a continuous analytics, venture-backed, startup headquartered in Foster City, California developing and supporting its solution leveraging PostgreSQL, to deliver a proprietary analytics solutions for net-centric customers. Truviso was acquired by Cisco Systems, Inc. on May 4, 2012. History Truviso was founded in 2006 by UC Berkeley professor Michael J. Franklin and his Ph.D. student Sailesh Krishnamurthy, advancing on the research of Berkeley's Telegraph project. Truviso's TruCQ product leverages and extends the open source PostgreSQL database to enable analysis of streaming data, including queries that combine those streams with other streaming data or with historical/staged data. One public example of Truviso's customers using continuous analytics is the dynamic tag cloud visualization of blog indexer Technorati. Truviso is one of the pioneers in the continuous analytics space which seeks to alter how business intelligence is done†... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Foster City, California
Foster City is a city located in San Mateo County, California. The 2020 census put the population at 33,805, an increase of more than 10% over the 2010 census figure of 30,567. Foster City is sometimes considered to be part of Silicon Valley for its local industry and its proximity to Silicon Valley cities. Foster City is one of the United States’ safest cities, with an average of one murder per decade. History Foster City was founded in the 1960s, built on the existing Brewer Island in the marshes of the San Francisco Bay on the east edge of San Mateo, enlarged with engineered landfill. The city was named after T. Jack Foster, a real estate magnate who owned much of the land comprising the city and who was instrumental in its initial design. His firm, Foster Enterprises, now run by his descendants, relocated to San Mateo in 2000 and is still active in real estate affairs throughout the San Francisco Bay Area. Geography According to the United States Census Bureau, the c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
United Parcel Service
United Parcel Service (UPS, stylized as ups) is an American multinational corporation, multinational package delivery, shipping & receiving and supply chain management company founded in 1907. Originally known as the American Messenger Company specializing in telegraphs, UPS has grown to become a Fortune 500 company and one of the world's largest shipping couriers. UPS today is primarily known for its ground shipping services as well as the UPS Store, a retail chain which assists UPS shipments and provides tools for small businesses. In addition, UPS offers Air cargo, air shipping on an overnight or two-day basis and delivers to post office boxes through UPS SurePost, a subsidiary that passes on packages to the United States Postal Service for Last mile (transportation), last-mile delivery. UPS is the largest courier company in the world by revenue, with annual revenues around US$85 billion in 2020, ahead of competitors DHL and FedEx. UPS' main international hub, UPS Worldport i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Software Companies Based In The San Francisco Bay Area
Software is a set of computer programs and associated documentation and data. This is in contrast to hardware, from which the system is built and which actually performs the work. At the lowest programming level, executable code consists of machine language instructions supported by an individual processor—typically a central processing unit (CPU) or a graphics processing unit (GPU). Machine language consists of groups of binary values signifying processor instructions that change the state of the computer from its preceding state. For example, an instruction may change the value stored in a particular storage location in the computer—an effect that is not directly observable to the user. An instruction may also invoke one of many input or output operations, for example displaying some text on a computer screen; causing state changes which should be visible to the user. The processor executes the instructions in the order they are provided, unless it is instructed ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Analysis Software
In the pursuit of knowledge, data (; ) is a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements. Data is commonly used in scientific research, economics, and in virtually every other form of human organizational activity. Examples of data sets include price indices (such as consumer price index), unemployment rates, literacy rates, and census data. In this context, data represents the raw facts and figures which can be used in such a manner in order to capture the useful information out of it. Dat ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Analytics Companies
Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns toward effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance. Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, and cognitive analytics. Analytics may apply to a variety of fields such as marketing, management, finance, online systems, information security, and software services. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Business Intelligence Companies
Business is the practice of making one's living or making money by producing or buying and selling products (such as goods and services). It is also "any activity or enterprise entered into for profit." Having a business name does not separate the business entity from the owner, which means that the owner of the business is responsible and liable for debts incurred by the business. If the business acquires debts, the creditors can go after the owner's personal possessions. A business structure does not allow for corporate tax rates. The proprietor is personally taxed on all income from the business. The term is also often used colloquially (but not by lawyers or by public officials) to refer to a company, such as a corporation or cooperative. Corporations, in contrast with sole proprietors and partnerships, are a separate legal entity and provide limited liability for their owners/members, as well as being subject to corporate tax rates. A corporation is more complicated and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Business Intelligence Software
Business intelligence software is a type of application software designed to retrieve, analyze, transform and report data for business intelligence. The applications generally read data that has been previously stored, often - though not necessarily - in a data warehouse or data mart. History Development of business intelligence software The first comprehensive business intelligence systems were developed by IBM and Siebel (currently acquired by Oracle) in the period between 1970 and 1990. At the same time, small developer teams were emerging with attractive ideas, and pushing out some of the products companies still use nowadays. In 1988, specialists and vendors organized a Multiway Data Analysis Consortium in Rome, where they considered making data management and analytics more efficient, and foremost available to smaller and financially restricted businesses. By 2000, there were many professional reporting systems and analytic programs, some owned by top performing software pro ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Operational Intelligence
Operational intelligence (OI) is a category of real-time dynamic, business analytics that delivers visibility and insight into data, streaming events and business operations. OI solutions run queries against streaming data feeds and event data to deliver analytic results as operational instructions. OI provides organizations the ability to make decisions and immediately act on these analytic insights, through manual or automated actions. Purpose The purpose of OI is to monitor business activities and identify and detect situations relating to inefficiencies, opportunities, and threats and provide operational solutions. Some definitions define operational intelligence as an event-centric approach to delivering information that empowers people to make better decisions, based on complete and actual information. In addition, these metrics act as the starting point for further analysis (drilling down into details, performing root cause analysis — tying anomalies to specific transact ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Real-time Computing
Real-time computing (RTC) is the computer science term for hardware and software systems subject to a "real-time constraint", for example from event to system response. Real-time programs must guarantee response within specified time constraints, often referred to as "deadlines". Ben-Ari, Mordechai; "Principles of Concurrent and Distributed Programming", ch. 16, Prentice Hall, 1990, , page 164 Real-time responses are often understood to be in the order of milliseconds, and sometimes microseconds. A system not specified as operating in real time cannot usually ''guarantee'' a response within any timeframe, although ''typical'' or ''expected'' response times may be given. Real-time processing ''fails'' if not completed within a specified deadline relative to an event; deadlines must always be met, regardless of system load. A real-time system has been described as one which "controls an environment by receiving data, processing them, and returning the results sufficiently quic ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Real-time Business Intelligence
Real-time business intelligence (RTBI) is a concept describing the process of delivering business intelligence (BI) or information about business operations as they occur. Real time means near to zero latency and access to information whenever it is required. The speed of today's processing systems has allowed typical data warehousing to work in real-time. The result is real-time business intelligence. Business transactions as they occur are fed to a real-time BI system that maintains the current state of the enterprise. The RTBI system not only supports the classic strategic functions of data warehousing for deriving information and knowledge from past enterprise activity, but it also provides real-time tactical support to drive enterprise actions that react immediately to events as they occur. As such, it replaces both the classic data warehouse and the enterprise application integration (EAI) functions. Such event-driven processing is a basic tenet of real-time business intellig ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Event Driven Architecture
Event-driven architecture (EDA) is a software architecture paradigm promoting the production, detection, consumption of, and reaction to events. Overview An ''event'' can be defined as "a significant change in 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 message emission. Events do not travel, they just occur. However, the term ''event'' is often used metonymically to denote the notification message itself, which may lead to some confusion. This is due to Event-driven architectures often being designed atop message-driven architectures, where suc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 data 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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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