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76-643: The Reptile Database is a scientific database that collects taxonomic information on all living reptile species (i.e. no fossil species such as dinosaurs ). The database focuses on species (as opposed to higher ranks such as families) and has entries for all currently recognized ~14,000 species and their subspecies, although there is usually a lag time of up to a few months before newly described species become available online. The database collects scientific and common names, synonyms, literature references, distribution information, type information, etymology , and other taxonomically relevant information. The database

152-432: A data modeling construct for the relational model, and the difference between the two has become irrelevant. The 1980s ushered in the age of desktop computing . The new computers empowered their users with spreadsheets like Lotus 1-2-3 and database software like dBASE . The dBASE product was lightweight and easy for any computer user to understand out of the box. C. Wayne Ratliff , the creator of dBASE, stated: "dBASE

228-509: A vulnerability . Software patches are often released to fix identified vulnerabilities, but those that remain unknown ( zero days ) as well as those that have not been patched are still liable for exploitation. Vulnerabilities vary in their ability to be exploited by malicious actors, and the actual risk is dependent on the nature of the vulnerability as well as the value of the surrounding system. Although some vulnerabilities can only be used for denial of service attacks that compromise

304-520: A web application —had become the primary method that companies deliver applications. Software companies aim to deliver a high-quality product on time and under budget. A challenge is that software development effort estimation is often inaccurate. Software development begins by conceiving the project, evaluating its feasibility, analyzing the business requirements, and making a software design . Most software projects speed up their development by reusing or incorporating existing software, either in

380-484: A 1962 report by the System Development Corporation of California as the first to use the term "data-base" in a specific technical sense. As computers grew in speed and capability, a number of general-purpose database systems emerged; by the mid-1960s a number of such systems had come into commercial use. Interest in a standard began to grow, and Charles Bachman , author of one such product,

456-457: A change request. Frequently, software is released in an incomplete state when the development team runs out of time or funding. Despite testing and quality assurance , virtually all software contains bugs where the system does not work as intended. Post-release software maintenance is necessary to remediate these bugs when they are found and keep the software working as the environment changes over time. New features are often added after

532-486: A code's correct and efficient behavior, its reusability and portability , or the ease of modification. It is usually more cost-effective to build quality into the product from the beginning rather than try to add it later in the development process. Higher quality code will reduce lifetime cost to both suppliers and customers as it is more reliable and easier to maintain . Software failures in safety-critical systems can be very serious including death. By some estimates,

608-440: A custom multitasking kernel with built-in networking support, but modern DBMSs typically rely on a standard operating system to provide these functions. Since DBMSs comprise a significant market , computer and storage vendors often take into account DBMS requirements in their own development plans. Databases and DBMSs can be categorized according to the database model(s) that they support (such as relational or XML ),

684-443: A database management system. Existing DBMSs provide various functions that allow management of a database and its data which can be classified into four main functional groups: Both a database and its DBMS conform to the principles of a particular database model . "Database system" refers collectively to the database model, database management system, and database. Physically, database servers are dedicated computers that hold

760-404: A database. One way to classify databases involves the type of their contents, for example: bibliographic , document-text, statistical, or multimedia objects. Another way is by their application area, for example: accounting, music compositions, movies, banking, manufacturing, or insurance. A third way is by some technical aspect, such as the database structure or interface type. This section lists

836-543: A different chain, based on IBM's papers on System R. Though Oracle V1 implementations were completed in 1978, it was not until Oracle Version 2 when Ellison beat IBM to market in 1979. Stonebraker went on to apply the lessons from INGRES to develop a new database, Postgres, which is now known as PostgreSQL . PostgreSQL is often used for global mission-critical applications (the .org and .info domain name registries use it as their primary data store , as do many large companies and financial institutions). In Sweden, Codd's paper

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912-463: A different type of entity . Only in the mid-1980s did computing hardware become powerful enough to allow the wide deployment of relational systems (DBMSs plus applications). By the early 1990s, however, relational systems dominated in all large-scale data processing applications, and as of 2018 they remain dominant: IBM Db2 , Oracle , MySQL , and Microsoft SQL Server are the most searched DBMS . The dominant database language, standardized SQL for

988-423: A few of the adjectives used to characterize different kinds of databases. Connolly and Begg define database management system (DBMS) as a "software system that enables users to define, create, maintain and control access to the database." Examples of DBMS's include MySQL , MariaDB , PostgreSQL , Microsoft SQL Server , Oracle Database , and Microsoft Access . The DBMS acronym is sometimes extended to indicate

1064-443: A legal regime where liability for software products is significantly curtailed compared to other products. Source code is protected by copyright law that vests the owner with the exclusive right to copy the code. The underlying ideas or algorithms are not protected by copyright law, but are often treated as a trade secret and concealed by such methods as non-disclosure agreements . Software copyright has been recognized since

1140-449: A set of operations based on the mathematical system of relational calculus (from which the model takes its name). Splitting the data into a set of normalized tables (or relations ) aimed to ensure that each "fact" was only stored once, thus simplifying update operations. Virtual tables called views could present the data in different ways for different users, but views could not be directly updated. Codd used mathematical terms to define

1216-495: A significant role in the distribution of software products. The first use of the word software is credited to mathematician John Wilder Tukey in 1958. The first programmable computers, which appeared at the end of the 1940s, were programmed in machine language . Machine language is difficult to debug and not portable across different computers. Initially, hardware resources were more expensive than human resources . As programs became complex, programmer productivity became

1292-447: A single large "chunk". Subsequent multi-user versions were tested by customers in 1978 and 1979, by which time a standardized query language – SQL – had been added. Codd's ideas were establishing themselves as both workable and superior to CODASYL, pushing IBM to develop a true production version of System R, known as SQL/DS , and, later, Database 2 ( IBM Db2 ). Larry Ellison 's Oracle Database (or more simply, Oracle ) started from

1368-514: A specific version of the software, downloaded, and run on hardware belonging to the purchaser. The rise of the Internet and cloud computing enabled a new model, software as a service (SaaS), in which the provider hosts the software (usually built on top of rented infrastructure or platforms ) and provides the use of the software to customers, often in exchange for a subscription fee . By 2023, SaaS products—which are usually delivered via

1444-452: A strong demand for massively distributed databases with high partition tolerance, but according to the CAP theorem , it is impossible for a distributed system to simultaneously provide consistency , availability, and partition tolerance guarantees. A distributed system can satisfy any two of these guarantees at the same time, but not all three. For that reason, many NoSQL databases are using what

1520-415: A system's availability, others allow the attacker to inject and run their own code (called malware ), without the user being aware of it. To thwart cyberattacks, all software in the system must be designed to withstand and recover from external attack. Despite efforts to ensure security, a significant fraction of computers are infected with malware. Programming languages are the format in which software

1596-454: A time by navigating the links, they would use a declarative query language that expressed what data was required, rather than the access path by which it should be found. Finding an efficient access path to the data became the responsibility of the database management system, rather than the application programmer. This process, called query optimization, depended on the fact that queries were expressed in terms of mathematical logic. Codd's paper

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1672-960: Is called eventual consistency to provide both availability and partition tolerance guarantees with a reduced level of data consistency. NewSQL is a class of modern relational databases that aims to provide the same scalable performance of NoSQL systems for online transaction processing (read-write) workloads while still using SQL and maintaining the ACID guarantees of a traditional database system. Databases are used to support internal operations of organizations and to underpin online interactions with customers and suppliers (see Enterprise software ). Databases are used to hold administrative information and more specialized data, such as engineering data or economic models. Examples include computerized library systems, flight reservation systems , computerized parts inventory systems , and many content management systems that store websites as collections of webpages in

1748-515: Is classified by IBM as a hierarchical database . IDMS and Cincom Systems ' TOTAL databases are classified as network databases. IMS remains in use as of 2014 . Edgar F. Codd worked at IBM in San Jose, California , in one of their offshoot offices that were primarily involved in the development of hard disk systems. He was unhappy with the navigational model of the CODASYL approach, notably

1824-462: Is organized. Because of the close relationship between them, the term "database" is often used casually to refer to both a database and the DBMS used to manipulate it. Outside the world of professional information technology , the term database is often used to refer to any collection of related data (such as a spreadsheet or a card index) as size and usage requirements typically necessitate use of

1900-421: Is still pursued in certain applications by some companies like Netezza and Oracle ( Exadata ). IBM started working on a prototype system loosely based on Codd's concepts as System R in the early 1970s. The first version was ready in 1974/5, and work then started on multi-table systems in which the data could be split so that all of the data for a record (some of which is optional) did not have to be stored in

1976-404: Is the basis of query optimization. There is no loss of expressiveness compared with the hierarchic or network models, though the connections between tables are no longer so explicit. In the hierarchic and network models, records were allowed to have a complex internal structure. For example, the salary history of an employee might be represented as a "repeating group" within the employee record. In

2052-453: Is written. Since the 1950s, thousands of different programming languages have been invented; some have been in use for decades, while others have fallen into disuse. Some definitions classify machine code —the exact instructions directly implemented by the hardware—and assembly language —a more human-readable alternative to machine code whose statements can be translated one-to-one into machine code—as programming languages. Programs written in

2128-667: The Integrated Data Store (IDS), founded the Database Task Group within CODASYL , the group responsible for the creation and standardization of COBOL . In 1971, the Database Task Group delivered their standard, which generally became known as the CODASYL approach , and soon a number of commercial products based on this approach entered the market. The CODASYL approach offered applications

2204-599: The Michigan Terminal System . The system remained in production until 1998. In the 1970s and 1980s, attempts were made to build database systems with integrated hardware and software. The underlying philosophy was that such integration would provide higher performance at a lower cost. Examples were IBM System/38 , the early offering of Teradata , and the Britton Lee, Inc. database machine. Another approach to hardware support for database management

2280-930: The World Register of Marine Species (WoRMS), the citizen science project iNaturalist , and has links to the IUCN Redlist database. The NCBI taxonomy database links out to the Reptile Database. Database Small databases can be stored on a file system , while large databases are hosted on computer clusters or cloud storage . The design of databases spans formal techniques and practical considerations, including data modeling , efficient data representation and storage, query languages , security and privacy of sensitive data, and distributed computing issues, including supporting concurrent access and fault tolerance . Computer scientists may classify database management systems according to

2356-434: The database models that they support. Relational databases became dominant in the 1980s. These model data as rows and columns in a series of tables , and the vast majority use SQL for writing and querying data. In the 2000s, non-relational databases became popular, collectively referred to as NoSQL , because they use different query languages . Formally, a "database" refers to a set of related data accessed through

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2432-471: The hierarchical model and the CODASYL model ( network model ). These were characterized by the use of pointers (often physical disk addresses) to follow relationships from one record to another. The relational model , first proposed in 1970 by Edgar F. Codd , departed from this tradition by insisting that applications should search for data by content, rather than by following links. The relational model employs sets of ledger-style tables, each used for

2508-438: The high-level programming languages used to create software share a few main characteristics: knowledge of machine code is not necessary to write them, they can be ported to other computer systems, and they are more concise and human-readable than machine code. They must be both human-readable and capable of being translated into unambiguous instructions for computer hardware. The invention of high-level programming languages

2584-605: The machine language specific to the hardware. The introduction of high-level programming languages in 1958 allowed for more human-readable instructions, making software development easier and more portable across different computer architectures . Software in a programming language is run through a compiler or interpreter to execute on the architecture's hardware. Over time, software has become complex, owing to developments in networking , operating systems , and databases . Software can generally be categorized into two main types: The rise of cloud computing has introduced

2660-622: The 1980s and early 1990s. The 1990s, along with a rise in object-oriented programming , saw a growth in how data in various databases were handled. Programmers and designers began to treat the data in their databases as objects . That is to say that if a person's data were in a database, that person's attributes, such as their address, phone number, and age, were now considered to belong to that person instead of being extraneous data. This allows for relations between data to be related to objects and their attributes and not to individual fields. The term " object–relational impedance mismatch " described

2736-686: The University of Michigan began development of the MICRO Information Management System based on D.L. Childs ' Set-Theoretic Data model. MICRO was used to manage very large data sets by the US Department of Labor , the U.S. Environmental Protection Agency , and researchers from the University of Alberta , the University of Michigan , and Wayne State University . It ran on IBM mainframe computers using

2812-539: The ability to navigate around a linked data set which was formed into a large network. Applications could find records by one of three methods: Later systems added B-trees to provide alternate access paths. Many CODASYL databases also added a declarative query language for end users (as distinct from the navigational API ). However, CODASYL databases were complex and required significant training and effort to produce useful applications. IBM also had its own DBMS in 1966, known as Information Management System (IMS). IMS

2888-438: The actual databases and run only the DBMS and related software. Database servers are usually multiprocessor computers, with generous memory and RAID disk arrays used for stable storage. Hardware database accelerators, connected to one or more servers via a high-speed channel, are also used in large-volume transaction processing environments . DBMSs are found at the heart of most database applications . DBMSs may be built around

2964-399: The bottleneck. The introduction of high-level programming languages in 1958 hid the details of the hardware and expressed the underlying algorithms into the code . Early languages include Fortran , Lisp , and COBOL . There are two main types of software: Software can also be categorized by how it is deployed . Traditional applications are purchased with a perpetual license for

3040-404: The correctness of code, while user acceptance testing helps to ensure that the product meets customer expectations. There are a variety of software development methodologies , which vary from completing all steps in order to concurrent and iterative models. Software development is driven by requirements taken from prospective users, as opposed to maintenance, which is driven by events such as

3116-400: The cost of poor quality software can be as high as 20 to 40 percent of sales. Despite developers' goal of delivering a product that works entirely as intended, virtually all software contains bugs. The rise of the Internet also greatly increased the need for computer security as it enabled malicious actors to conduct cyberattacks remotely. If a bug creates a security risk, it is called

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3192-419: The cost of products. Unlike copyrights, patents generally only apply in the jurisdiction where they were issued. Engineer Capers Jones writes that "computers and software are making profound changes to every aspect of human life: education, work, warfare, entertainment, medicine, law, and everything else". It has become ubiquitous in everyday life in developed countries . In many cases, software augments

3268-402: The following functions and services a fully-fledged general purpose DBMS should provide: Software Software consists of computer programs that instruct the execution of a computer . Software also includes design documents and specifications. The history of software is closely tied to the development of digital computers in the mid-20th century. Early programs were written in

3344-438: The form of commercial off-the-shelf (COTS) or open-source software . Software quality assurance is typically a combination of manual code review by other engineers and automated software testing . Due to time constraints, testing cannot cover all aspects of the software's intended functionality, so developers often focus on the most critical functionality. Formal methods are used in some safety-critical systems to prove

3420-439: The functionality of existing technologies such as household appliances and elevators . Software also spawned entirely new technologies such as the Internet , video games , mobile phones , and GPS . New methods of communication, including email , forums , blogs , microblogging , wikis , and social media , were enabled by the Internet. Massive amounts of knowledge exceeding any paper-based library are now available with

3496-400: The inconvenience of translating between programmed objects and database tables. Object databases and object–relational databases attempt to solve this problem by providing an object-oriented language (sometimes as extensions to SQL) that programmers can use as alternative to purely relational SQL. On the programming side, libraries known as object–relational mappings (ORMs) attempt to solve

3572-430: The lack of a "search" facility. In 1970, he wrote a number of papers that outlined a new approach to database construction that eventually culminated in the groundbreaking A Relational Model of Data for Large Shared Data Banks . In this paper, he described a new system for storing and working with large databases. Instead of records being stored in some sort of linked list of free-form records as in CODASYL, Codd's idea

3648-597: The mid-1970s and is vested in the company that makes the software, not the employees or contractors who wrote it. The use of most software is governed by an agreement ( software license ) between the copyright holder and the user. Proprietary software is usually sold under a restrictive license that limits copying and reuse (often enforced with tools such as digital rights management (DRM)). Open-source licenses , in contrast, allow free use and redistribution of software with few conditions. Most open-source licenses used for software require that modifications be released under

3724-576: The model: relations, tuples, and domains rather than tables, rows, and columns. The terminology that is now familiar came from early implementations. Codd would later criticize the tendency for practical implementations to depart from the mathematical foundations on which the model was based. The use of primary keys (user-oriented identifiers) to represent cross-table relationships, rather than disk addresses, had two primary motivations. From an engineering perspective, it enabled tables to be relocated and resized without expensive database reorganization. But Codd

3800-632: The new software delivery model Software as a Service (SaaS). In SaaS, applications are hosted by a provider and accessed over the Internet . The process of developing software involves several stages. The stages include software design , programming , testing , release , and maintenance . Software quality assurance and security are critical aspects of software development, as bugs and security vulnerabilities can lead to system failures and security breaches. Additionally, legal issues such as software licenses and intellectual property rights play

3876-472: The operating system) can take this saved file and execute it as a process on the computer hardware. Some programming languages use an interpreter instead of a compiler. An interpreter converts the program into machine code at run time , which makes them 10 to 100 times slower than compiled programming languages. Software is often released with the knowledge that it is incomplete or contains bugs. Purchasers knowingly buy it in this state, which has led to

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3952-618: The physical world may also be part of the requirements for a software patent to be held valid. Software patents have been historically controversial . Before the 1998 case State Street Bank & Trust Co. v. Signature Financial Group, Inc. , software patents were generally not recognized in the United States. In that case, the Supreme Court decided that business processes could be patented. Patent applications are complex and costly, and lawsuits involving patents can drive up

4028-622: The preceding decade. Recently, the database also added a more or less complete list of primary type specimens . The Reptile Database has been a member of the Species 2000 project that has produced the Catalogue of Life (CoL), a meta-database of more than 150 species databases that catalog all living species on the planet. The CoL provides taxonomic information to the Encyclopedia of Life (EoL). The Reptile Database also collaborates with

4104-480: The relational approach, the data would be normalized into a user table, an address table and a phone number table (for instance). Records would be created in these optional tables only if the address or phone numbers were actually provided. As well as identifying rows/records using logical identifiers rather than disk addresses, Codd changed the way in which applications assembled data from multiple records. Rather than requiring applications to gather data one record at

4180-599: The relational model, has influenced database languages for other data models. Object databases were developed in the 1980s to overcome the inconvenience of object–relational impedance mismatch , which led to the coining of the term "post-relational" and also the development of hybrid object–relational databases . The next generation of post-relational databases in the late 2000s became known as NoSQL databases, introducing fast key–value stores and document-oriented databases . A competing "next generation" known as NewSQL databases attempted new implementations that retained

4256-419: The relational model, the process of normalization led to such internal structures being replaced by data held in multiple tables, connected only by logical keys. For instance, a common use of a database system is to track information about users, their name, login information, various addresses and phone numbers. In the navigational approach, all of this data would be placed in a single variable-length record. In

4332-455: The relational/SQL model while aiming to match the high performance of NoSQL compared to commercially available relational DBMSs. The introduction of the term database coincided with the availability of direct-access storage (disks and drums) from the mid-1960s onwards. The term represented a contrast with the tape-based systems of the past, allowing shared interactive use rather than daily batch processing . The Oxford English Dictionary cites

4408-408: The release. Over time, the level of maintenance becomes increasingly restricted before being cut off entirely when the product is withdrawn from the market. As software ages , it becomes known as legacy software and can remain in use for decades, even if there is no one left who knows how to fix it. Over the lifetime of the product, software maintenance is estimated to comprise 75 percent or more of

4484-424: The same license, which can create complications when open-source software is reused in proprietary projects. Patents give an inventor an exclusive, time-limited license for a novel product or process. Ideas about what software could accomplish are not protected by law and concrete implementations are instead covered by copyright law . In some countries, a requirement for the claimed invention to have an effect on

4560-623: The same problem. XML databases are a type of structured document-oriented database that allows querying based on XML document attributes. XML databases are mostly used in applications where the data is conveniently viewed as a collection of documents, with a structure that can vary from the very flexible to the highly rigid: examples include scientific articles, patents, tax filings, and personnel records. NoSQL databases are often very fast, do not require fixed table schemas, avoid join operations by storing denormalized data, and are designed to scale horizontally . In recent years, there has been

4636-582: The technology progress in the areas of processors , computer memory , computer storage , and computer networks . The concept of a database was made possible by the emergence of direct access storage media such as magnetic disks , which became widely available in the mid-1960s; earlier systems relied on sequential storage of data on magnetic tape . The subsequent development of database technology can be divided into three eras based on data model or structure: navigational , SQL/ relational , and post-relational. The two main early navigational data models were

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4712-431: The total development cost. Completing a software project involves various forms of expertise, not just in software programmers but also testing, documentation writing, project management , graphic design , user experience , user support, marketing , and fundraising. Software quality is defined as meeting the stated requirements as well as customer expectations. Quality is an overarching term that can refer to

4788-423: The type(s) of computer they run on (from a server cluster to a mobile phone ), the query language (s) used to access the database (such as SQL or XQuery ), and their internal engineering, which affects performance, scalability , resilience, and security. The sizes, capabilities, and performance of databases and their respective DBMSs have grown in orders of magnitude. These performance increases were enabled by

4864-410: The underlying database model , with RDBMS for the relational , OODBMS for the object (oriented) and ORDBMS for the object–relational model . Other extensions can indicate some other characteristics, such as DDBMS for a distributed database management systems. The functionality provided by a DBMS can vary enormously. The core functionality is the storage, retrieval and update of data. Codd proposed

4940-455: The use of a "database management system" (DBMS), which is an integrated set of computer software that allows users to interact with one or more databases and provides access to all of the data contained in the database (although restrictions may exist that limit access to particular data). The DBMS provides various functions that allow entry, storage and retrieval of large quantities of information and provides ways to manage how that information

5016-460: The use of a "language" for data access , known as QUEL . Over time, INGRES moved to the emerging SQL standard. IBM itself did one test implementation of the relational model, PRTV , and a production one, Business System 12 , both now discontinued. Honeywell wrote MRDS for Multics , and now there are two new implementations: Alphora Dataphor and Rel. Most other DBMS implementations usually called relational are actually SQL DBMSs. In 1970,

5092-443: Was ICL 's CAFS accelerator, a hardware disk controller with programmable search capabilities. In the long term, these efforts were generally unsuccessful because specialized database machines could not keep pace with the rapid development and progress of general-purpose computers. Thus most database systems nowadays are software systems running on general-purpose hardware, using general-purpose computer data storage. However, this idea

5168-538: Was a development of software written for the Apollo program on the System/360 . IMS was generally similar in concept to CODASYL, but used a strict hierarchy for its model of data navigation instead of CODASYL's network model. Both concepts later became known as navigational databases due to the way data was accessed: the term was popularized by Bachman's 1973 Turing Award presentation The Programmer as Navigator . IMS

5244-412: Was also read and Mimer SQL was developed in the mid-1970s at Uppsala University . In 1984, this project was consolidated into an independent enterprise. Another data model, the entity–relationship model , emerged in 1976 and gained popularity for database design as it emphasized a more familiar description than the earlier relational model. Later on, entity–relationship constructs were retrofitted as

5320-403: Was different from programs like BASIC, C, FORTRAN, and COBOL in that a lot of the dirty work had already been done. The data manipulation is done by dBASE instead of by the user, so the user can concentrate on what he is doing, rather than having to mess with the dirty details of opening, reading, and closing files, and managing space allocation." dBASE was one of the top selling software titles in

5396-660: Was founded in 1995 as EMBL Reptile Database when the founder, Peter Uetz, was a graduate student at the European Molecular Biology Laboratory (EMBL) in Heidelberg, Germany. Thure Etzold had developed the first web interface for the EMBL DNA sequence database which was also used as interface for the Reptile Database. In 2006, the database moved to The Institute of Genomic Research (TIGR) and briefly operated as TIGR Reptile Database until TIGR

5472-766: Was merged into the J Craig Venter Institute (JCVI) where Uetz was an associate professor until 2010. Since 2010, the database has been maintained on servers in the Czech Republic under the supervision of Peter Uetz and Jirí Hošek, a Czech programmer. The database celebrated its 25th anniversary together with AmphibiaWeb which had its 20th anniversary in 2021. As of August 2024, the Reptile Database lists about 12,200 species (including another ~2,200 subspecies) in about 1250 genera (see figure), and has more than 60,000 literature references and about 22,000 photos. The database has constantly grown since its inception with an average of 100 to 200 new species described per year over

5548-422: Was more interested in the difference in semantics: the use of explicit identifiers made it easier to define update operations with clean mathematical definitions, and it also enabled query operations to be defined in terms of the established discipline of first-order predicate calculus ; because these operations have clean mathematical properties, it becomes possible to rewrite queries in provably correct ways, which

5624-422: Was picked up by two people at Berkeley, Eugene Wong and Michael Stonebraker . They started a project known as INGRES using funding that had already been allocated for a geographical database project and student programmers to produce code. Beginning in 1973, INGRES delivered its first test products which were generally ready for widespread use in 1979. INGRES was similar to System R in a number of ways, including

5700-401: Was simultaneous with the compilers needed to translate them automatically into machine code. Most programs do not contain all the resources needed to run them and rely on external libraries . Part of the compiler's function is to link these files in such a way that the program can be executed by the hardware. Once compiled, the program can be saved as an object file and the loader (part of

5776-490: Was to organize the data as a number of " tables ", each table being used for a different type of entity. Each table would contain a fixed number of columns containing the attributes of the entity. One or more columns of each table were designated as a primary key by which the rows of the table could be uniquely identified; cross-references between tables always used these primary keys, rather than disk addresses, and queries would join tables based on these key relationships, using

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