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Pervasive Software
Pervasive Software was a company that developed software including database management systems and extract, transform and load tools. Pervasive Data Integrator and Pervasive Data Profiler are integration products, and the Pervasive PSQL relational database management system is its primary data storage product. These embeddable data management products deliver integration between corporate data, third-party applications and custom software. Pervasive Software was headquartered in Austin, Texas, and sold its products with partners in other countries. The company is involved in cloud computing through DataSolutions and its DataCloud offering along with its long-standing relationship with salesforce.com. It was acquired by Actian Corp. in April 2013. History Pervasive started in 1982 as SoftCraft developing the database management system technology Btrieve. Acquired by Novell in 1987, in January 1994 Pervasive spun out as Btrieve Technologies. The company name was changed to Perv ...
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Subsidiary
A subsidiary, subsidiary company or daughter company is a company owned or controlled by another company, which is called the parent company or holding company. Two or more subsidiaries that either belong to the same parent company or having a same management being substantially controlled by same entity/group are called sister companies. The subsidiary can be a company (usually with limited liability) and may be a government- or state-owned enterprise. They are a common feature of modern business life, and most multinational corporations organize their operations in this way. Examples of holding companies are Berkshire Hathaway, Jefferies Financial Group, The Walt Disney Company, Warner Bros. Discovery, or Citigroup; as well as more focused companies such as IBM, Xerox, and Microsoft. These, and others, organize their businesses into national and functional subsidiaries, often with multiple levels of subsidiaries. Details Subsidiaries are separate, distinct legal ...
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Initial Public Offering
An initial public offering (IPO) or stock launch is a public offering in which shares of a company are sold to institutional investors and usually also to retail (individual) investors. An IPO is typically underwritten by one or more investment banks, who also arrange for the shares to be listed on one or more stock exchanges. Through this process, colloquially known as ''floating'', or ''going public'', a privately held company is transformed into a public company. Initial public offerings can be used to raise new equity capital for companies, to monetize the investments of private shareholders such as company founders or private equity investors, and to enable easy trading of existing holdings or future capital raising by becoming publicly traded. After the IPO, shares are traded freely in the open market at what is known as the free float. Stock exchanges stipulate a minimum free float both in absolute terms (the total value as determined by the share price multiplied by ...
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Parallel Programming
Parallel computing is a type of computing, computation in which many calculations or Process (computing), processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: Bit-level parallelism, bit-level, Instruction-level parallelism, instruction-level, Data parallelism, data, and task parallelism. Parallelism has long been employed in high-performance computing, but has gained broader interest due to the physical constraints preventing frequency scaling.S.V. Adve ''et al.'' (November 2008)"Parallel Computing Research at Illinois: The UPCRC Agenda" (PDF). Parallel@Illinois, University of Illinois at Urbana-Champaign. "The main techniques for these performance benefits—increased clock frequency and smarter but increasingly complex architectures—are now hitting the so-called power wall. The computer industry has accepted that future performance inc ...
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Dataflow
In computing, dataflow is a broad concept, which has various meanings depending on the application and context. In the context of software architecture, data flow relates to stream processing or reactive programming. Software architecture Dataflow computing is a software paradigm based on the idea of representing computations as a directed graph, where nodes are computations and data flow along the edges. Dataflow can also be called stream processing or reactive programming. There have been multiple data-flow/stream processing languages of various forms (see Stream processing). Data-flow hardware (see Dataflow architecture) is an alternative to the classic von Neumann architecture. The most obvious example of data-flow programming is the subset known as reactive programming with spreadsheets. As a user enters new values, they are instantly transmitted to the next logical "actor" or formula for calculation. Distributed data flows have also been proposed as a programmi ...
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Apache Hadoop
Apache Hadoop () is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. Hadoop was originally designed for computer clusters built from commodity hardware, which is still the common use. It has since also found use on clusters of higher-end hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework. The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel. This ap ...
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MapReduce
MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster. A MapReduce program is composed of a ''map'' procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a '' reduce'' method, which performs a summary operation (such as counting the number of students in each queue, yielding name frequencies). The "MapReduce System" (also called "infrastructure" or "framework") orchestrates the processing by marshalling the distributed servers, running the various tasks in parallel, managing all communications and data transfers between the various parts of the system, and providing for redundancy and fault tolerance. The model is a specialization of the ''split-apply-combine'' strategy for data analysis. It is inspired by the map and reduce functions commonly used in functional programming,"Our abstraction i ...
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Greenville, South Carolina
Greenville (; locally ) is a city in and the county seat, seat of Greenville County, South Carolina, United States. With a population of 70,720 at the 2020 United States census, 2020 census, it is the sixth-largest city in the state. Greenville is located approximately halfway between Atlanta, Georgia, and Charlotte, North Carolina, along Interstate 85. Its metropolitan area also includes Interstates Interstate 185 (South Carolina), 185 and Interstate 385, 385. Greenville is the anchor city of Upstate South Carolina, the Upstate, a combined statistical area with a population of 1,487,610 at the 2020 census. Greenville was the fourth fastest-growing city in the United States between 2015 and 2016, according to the U.S. Census Bureau. Greenville is the center of the Upstate South Carolina, Upstate region of South Carolina. Numerous large companies are located within the city, such as Michelin, Prisma Health, Bon Secours (Virginia & South Carolina), Bon Secours, and Duke Energy. ...
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Business-to-business
Business-to-business (B2B or, in some countries, BtoB) is a situation where one business makes a commercial transaction with another. This typically occurs when: * A business is sourcing materials for their production process for output (e.g., a food manufacturer purchasing salt), i.e. providing raw material to the other company that will produce output. * A business needs the services of another for operational reasons (e.g., a food manufacturer employing an accountancy firm to audit their finances). * A business re-sells goods and services produced by others (e.g., a retailer buying the end product from the food manufacturer). B2B is often contrasted with business-to-consumer (B2C). In B2B commerce, it is often the case that the parties to the relationship have comparable negotiating power, and even when they do not, each party typically involves professional staff and legal counsel in the negotiation of terms, whereas B2C is shaped to a far greater degree by economic implic ...
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Relational Database
A relational database is a (most commonly digital) database based on the relational model of data, as proposed by E. F. Codd in 1970. A system used to maintain relational databases is a relational database management system (RDBMS). Many relational database systems are equipped with the option of using the SQL (Structured Query Language) for querying and maintaining the database. History The term "relational database" was first defined by E. F. Codd at IBM in 1970. Codd introduced the term in his research paper "A Relational Model of Data for Large Shared Data Banks". In this paper and later papers, he defined what he meant by "relational". One well-known definition of what constitutes a relational database system is composed of Codd's 12 rules. However, no commercial implementations of the relational model conform to all of Codd's rules, so the term has gradually come to describe a broader class of database systems, which at a minimum: # Present the data to the user as re ...
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ACID
In computer science, ACID ( atomicity, consistency, isolation, durability) is a set of properties of database transactions intended to guarantee data validity despite errors, power failures, and other mishaps. In the context of databases, a sequence of database operations that satisfies the ACID properties (which can be perceived as a single logical operation on the data) is called a ''transaction''. For example, a transfer of funds from one bank account to another, even involving multiple changes such as debiting one account and crediting another, is a single transaction. In 1983, Andreas Reuter and Theo Härder coined the acronym ''ACID'', building on earlier work by Jim Gray who named atomicity, consistency, and durability, but not isolation, when characterizing the transaction concept. These four properties are the major guarantees of the transaction paradigm, which has influenced many aspects of development in database systems. According to Gray and Reuter, the IBM Inf ...
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Durability (database Systems)
In database systems, durability is the ACID property which guarantees that transactions that have committed will survive permanently. For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked even if the system crashes. Durability can be achieved by flushing the transaction's log records to non-volatile storage before acknowledging commitment. In distributed transactions, all participating servers must coordinate before commit can be acknowledged. This is usually done by a two-phase commit protocol. Many DBMSs implement durability by writing transactions into a transaction log that can be reprocessed to recreate the system state right before any later failure. A transaction is deemed committed only after it is entered in the log. See also * Atomicity * Consistency * Isolation * Relational database management system A relational database is a (most commonly digital) database based on the relational model of dat ...
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Isolation (database Systems)
In database systems, isolation determines how transaction integrity is visible to other users and systems. A lower isolation level increases the ability of many users to access the same data at the same time, but increases the number of concurrency effects (such as dirty reads or lost updates) users might encounter. Conversely, a higher isolation level reduces the types of concurrency effects that users may encounter, but requires more system resources and increases the chances that one transaction will block another. Isolation is typically defined at database level as a property that defines how or when the changes made by one operation become visible to others. On older systems, it may be implemented systemically, for example through the use of temporary tables. In two-tier systems, a transaction processing (TP) manager is required to maintain isolation. In n-tier systems (such as multiple websites attempting to book the last seat on a flight), a combination of stored proced ...
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