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Database

2000s, NoSQL and NewSQL
The next generation of post-relational databases in the 2000s became known as NoSQL databases, including fast key-value stores and document-oriented databases. XML databases are a type of structured d ...
2014-2-19 22:41
1980s, object-oriented
The 1980s, 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 ...
2014-2-19 22:41
1980s, on the desktop
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 ea ...
2014-2-19 22:40
Late 1970s, SQL DBMS
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 ...
2014-2-19 22:40
Integrated approach
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 lower ...
2014-2-19 22:40
1970s, relational DBMS
Edgar Codd worked at IBM in San Jose, California, in one of their offshoot offices that was primarily involved in the development of hard disk systems. He was unhappy with the navigational model of th ...
2014-2-19 22:39
1960s, navigational DBMS
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 ...
2014-2-19 22:39
History
and performance of databases and their respective DBMSs have grown in orders of magnitudes.The development of database technology can be divided into three eras based on data model or structure: navig ...
2014-2-19 22:39
General-purpose and special-purpose DBMSs
A DBMS has evolved into a complex software system and its development typically requires thousands of person-years of development effort. Some general-purpose DBMSs such as Adabas, Oracle and DB2 have ...
2014-2-19 22:38
Applications and roles
ost organizations in developed countries today depend on databases for their business operations. Increasingly, databases are not only used to support the internal operations of the organization, but ...
2014-2-19 22:38
Terminology and overview
Formally, "database" refers to the data themselves and supporting data structures. Databases are created to operate large quantities of information by inputting, storing, retrieving, and managing that ...
2014-2-19 22:38
Database
A database is an organized collection of data. The data are typically organized to model relevant aspects of reality in a way that supports processes requiring this information. For example, modeling ...
2014-2-19 22:37
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