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78-546: The National Public Transport Access Node (NaPTAN) database is a UK nationwide system for uniquely identifying all the points of access to public transport in the UK. The dataset is closely associated with the National Public Transport Gazetteer . Every UK railway station, coach terminus, airport, ferry terminal, bus stop, taxi rank or other place where public transport can be joined or left

156-432: 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

234-616: A data storage service that allows applications to share mass storage . Without a file system, applications could access the storage in incompatible ways that lead to resource contention , data corruption and data loss . There are many file system designs and implementations – with various structure and features and various resulting characteristics such as speed, flexibility, security, size and more. Files systems have been developed for many types of storage devices , including hard disk drives (HDDs), solid-state drives (SSDs), magnetic tapes and optical discs . A portion of

312-484: 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,

390-440: 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 ),

468-443: 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

546-404: 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

624-424: A device, device type, directory prefix, file path separator, or file type. File systems typically support organizing files into directories , also called folders , which segregate files into groups. This may be implemented by associating the file name with an index in a table of contents or an inode in a Unix-like file system. Directory structures may be flat (i.e. linear), or allow hierarchies by allowing

702-543: 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

780-463: 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

858-672: A directory to contain directories, called subdirectories. The first file system to support arbitrary hierarchies of directories was used in the Multics operating system. The native file systems of Unix-like systems also support arbitrary directory hierarchies, as do, Apple 's Hierarchical File System and its successor HFS+ in classic Mac OS , the FAT file system in MS-DOS 2.0 and later versions of MS-DOS and in Microsoft Windows ,

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936-783: A family of consistent, interlocking data models. The models are described in the NPTG & NaPTAN Schema Guide in UML notation. NaPTAN identifiers are a systematic way of identifying of all UK points of access to public transport or "Stop points"). NaPTAN stop points have a number of text descriptor elements associated with them: not just a name, but also additional labels and distinguishing identifiers that will help users to recognise them. These elements can be combined in different ways to provide presentations of names useful for many different contexts, for example on maps, stop finders, timetables etc., and on mobile devices The Purpose of these descriptors

1014-423: 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

1092-443: A file system creates a file, it allocates space for data. Some file systems permit or require specifying an initial space allocation and subsequent incremental allocations as the file grows. To delete a file, the file system records that the file's space is free; available to use for another file. A local file system manages storage space to provide a level of reliability and efficiency. Generally, it allocates storage device space in

1170-422: A file system implementation. The physical file system layer provides relatively low-level access to a storage device (e.g. disk). It reads and writes data blocks , provides buffering and other memory management and controls placement of blocks in specific locations on the storage medium. This layer uses device drivers or channel I/O to drive the storage device. A file name , or filename , identifies

1248-417: A file to consuming applications and in some cases users. A file name is unique so that an application can refer to exactly one file for a particular name. If the file system supports directories, then generally file name uniqueness is enforced within the context of each directory. In other words, a storage can contain multiple files with the same name, but not in the same directory. Most file systems restrict

1326-706: A forked file system on the Macintosh, and Microsoft supports streams in NTFS. Some file systems maintain multiple past revisions of a file under a single file name; the file name by itself retrieves the most recent version, while prior saved version can be accessed using a special naming convention such as "filename;4" or "filename(-4)" to access the version four saves ago. See comparison of file systems#Metadata for details on which file systems support which kinds of metadata. A local file system tracks which areas of storage belong to which file and which are not being used. When

1404-477: A granular manner, usually multiple physical units (i.e. bytes ). For example, in Apple DOS of the early 1980s, 256-byte sectors on 140 kilobyte floppy disk used a track/sector map . The granular nature results in unused space, sometimes called slack space , for each file except for those that have the rare size that is a multiple of the granular allocation. For a 512-byte allocation, the average unused space

1482-679: A nation's public transport stops is an essential step in creating a national information infrastructure. In the UK NaPTAN enabled the creation of the Transport Direct Portal , a UK nationwide system for multi-modal journey planning. NaPTAN also underpins TransXChange , the UK standard for bus schedules, which is used for the Electronic Registration of Bus Services . NaPTAN comprises several distinct elements NaPTAN identifiers are designed to be used within

1560-449: 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

1638-447: 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

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1716-431: A stream of bytes . Typically, to read file data, a program provides a memory buffer and the file system retrieves data from the medium and then writes the data to the buffer. A write involves the program providing a buffer of bytes that the file system reads and then stores to the medium. Some file systems, or layers on top of a file system, allow a program to define a record so that a program can read and write data as

1794-452: 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

1872-585: A structure; not an unorganized sequence of bytes. If a fixed length record definition is used, then locating the n record can be calculated mathematically, which is relatively fast compared to parsing the data for record separators. An identification for each record, also known as a key, allows a program to read, write and update records without regard to their location in storage. Such storage requires managing blocks of media, usually separating key blocks and data blocks. Efficient algorithms can be developed with pyramid structures for locating records. Typically,

1950-454: 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

2028-432: A user's use of storage space. A file system typically ensures that stored data remains consistent in both normal operations as well as exceptional situations like: Recovery from exceptional situations may include updating metadata, directory entries and handling data that was buffered but not written to storage media. A file system might record events to allow analysis of issues such as: Many file systems access data as

2106-405: Is 256 bytes. For 64 KB clusters, the average unused space is 32 KB. Generally, the allocation unit size is set when the storage is configured. Choosing a relatively small size compared to the files stored, results in excessive access overhead. Choosing a relatively large size results in excessive unused space. Choosing an allocation size based on the average size of files expected to be in

2184-524: Is allocated a unique NaPTAN identifier. The relationship of the stop to a City, Town, Village or other locality can be indicated through an association with elements of the National Public Transport Gazetteer. There is a CEN standardisation initiative, Identification of Fixed Objects In Public Transport ('IFOPT'), to develop NaPTAN concepts into a European standard for stop identification as an extension to Transmodel ,

2262-960: 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

2340-515: 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

2418-973: Is closely associated with the NaPTAN dataset and contains details of every City, Town, Village, suburb in Great Britain (i.e., UK but not including Northern Ireland). This dataset is based on usage of names, rather than legal definitions and so includes local informal names for places as well as their official names. 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

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2496-534: Is invisible to the end user and the system still works correctly. However this can degrade performance on some storage hardware that work better with contiguous blocks such as hard disk drives . Other hardware such as solid-state drives are not affected by fragmentation. A file system often supports access control of data that it manages. The intent of access control is often to prevent certain users from reading or modifying certain files. Access control can also restrict access by program in order to ensure that data

2574-510: Is modified in a controlled way. Examples include passwords stored in the metadata of the file or elsewhere and file permissions in the form of permission bits, access control lists , or capabilities . The need for file system utilities to be able to access the data at the media level to reorganize the structures and provide efficient backup usually means that these are only effective for polite users but are not effective against intruders. Methods for encrypting file data are sometimes included in

2652-462: 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

2730-421: 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

2808-550: Is stored inside the allocation group itself. Additional attributes can be associated on file systems, such as NTFS , XFS , ext2 , ext3 , some versions of UFS , and HFS+ , using extended file attributes . Some file systems provide for user defined attributes such as the author of the document, the character encoding of a document or the size of an image. Some file systems allow for different data collections to be associated with one file name. These separate collections may be referred to as streams or forks . Apple has long used

2886-404: 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

2964-670: Is to create an iterative level of detail i.e. Country - County - Locality - Street - Name - Identifier . All of this information should be included but it is up to the user of the data to decide how much data is relevant for the task in hand. Every NaPTAN point includes geospatial coordinates specified in Ordnance Survey National Grid format, and as WGS84 latitude and longitude pairs where these are provided by local authorities. This allows NaPTAN points to be projected on maps and to be associated with other information layers. The National Public Transport Gazetteer

3042-667: 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

3120-599: 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

3198-680: The NTFS file system in the Windows NT family of operating systems, and the ODS-2 (On-Disk Structure-2) and higher levels of the Files-11 file system in OpenVMS . In addition to data, the file content, a file system also manages associated metadata which may include but is not limited to: A file system stores associated metadata separate from the content of the file. Most file systems store

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3276-434: 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

3354-471: 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

3432-622: 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

3510-513: The European standard for Public Transport information. The ability to identify and locate stops in relation to topography, both consistently and economically, is fundamental to modern computer based systems that provide passenger information and manage public transport networks. Stop data is needed by journey planners , scheduling systems, real-time systems , for transport planning, performance monitoring, and for many other purposes. Digitalising

3588-581: The UK's Digital National Framework a system of unique persistent reference for shareable information resources of all types managed by the Ordnance Survey . NaPTAN includes on a related standard - the UK National Public Transport Gazetteer. The National Public Transport Access Node dataset has information on all UK public transport stops. Stops are submitted by PTEs to a central authority which consolidates

3666-686: 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

3744-539: 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

3822-438: 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

3900-421: The computer main memory can be set up as a RAM disk that serves as a storage device for a file system. File systems such as tmpfs can store files in virtual memory . A virtual file system provides access to files that are either computed on request, called virtual files (see procfs and sysfs ), or are mapping into another, backing storage. From c.  1900 and before the advent of computers

3978-519: The concepts. The logical file system layer provides relatively high-level access via an application programming interface (API) for file operations including open, close, read and write – delegating operations to lower layers. This layer manages open file table entries and per-process file descriptors. It provides file access, directory operations, security and protection. The virtual file system , an optional layer, supports multiple concurrent instances of physical file systems, each of which called

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4056-416: The file system. This is very effective since there is no need for file system utilities to know the encryption seed to effectively manage the data. The risks of relying on encryption include the fact that an attacker can copy the data and use brute force to decrypt the data. Additionally, losing the seed means losing the data. Some operating systems allow a system administrator to enable disk quotas to limit

4134-491: The following functions and services a fully-fledged general purpose DBMS should provide: File system In computing , a file system or filesystem (often abbreviated to FS or fs ) governs file organization and access. A local file system is a capability of an operating system that services the applications running on the same computer . A distributed file system is a protocol that provides file access between networked computers. A file system provides

4212-400: 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

4290-430: 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

4368-500: The length of a file name. Some file systems match file names as case sensitive and others as case insensitive. For example, the names MYFILE and myfile match the same file for case insensitive, but different files for case sensitive. Most modern file systems allow a file name to contain a wide range of characters from the Unicode character set. Some restrict characters such as those used to indicate special attributes such as

4446-576: 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

4524-595: The names of all the files in one directory in one place—the directory table for that directory—which is often stored like any other file. Many file systems put only some of the metadata for a file in the directory table, and the rest of the metadata for that file in a completely separate structure, such as the inode . Most file systems also store metadata not associated with any one particular file. Such metadata includes information about unused regions— free space bitmap , block availability map —and information about bad sectors . Often such information about an allocation group

4602-480: 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

4680-599: 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

4758-419: 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

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4836-455: 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

4914-623: 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

4992-523: The stops and distributes them back to users. There are currently 380,000 active stop points. NaPTAN is maintained by the Department of Transport. NaPTAN data is described by a NaPTAN XML Schema. This can be used to describe NaPTAN data when exchanging it between systems as XML documents. It is versioned so that different generations of data can be managed. See http://www.dft.gov.uk/naptan/schema/2.4/NaPTAN.xsd The NPTG & NaPTAN data conform to

5070-429: The storage tends to minimize unusable space. As a file system creates, modifies and deletes files, the underlying storage representation may become fragmented . Files and the unused space between files will occupy allocation blocks that are not contiguous. A file becomes fragmented if space needed to store its content cannot be allocated in contiguous blocks. Free space becomes fragmented when files are deleted. This

5148-582: 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

5226-442: The terms file system , filing system and system for filing were used to describe methods of organizing, storing and retrieving paper documents. By 1961, the term file system was being applied to computerized filing alongside the original meaning. By 1964, it was in general use. A local file system's architecture can be described as layers of abstraction even though a particular file system design may not actually separate

5304-423: 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

5382-410: 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

5460-455: 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

5538-460: 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,

5616-443: 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

5694-538: 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

5772-412: 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

5850-403: 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

5928-422: 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

6006-422: 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

6084-490: 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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