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The biggest academic database & search engine (over 390 million records, unofficial estimate) Free Google: Informit: Multidisciplinary: 8,000,000 Australasian aggregator of bibliographic databases and journals Subscription RMIT Training Pty Ltd (RMIT Training) Inspec: Physics, Engineering, Computer Science: 18,000,000
The core technology that keeps Amazon running is Linux-based and as of 2005 they had the world's three largest Linux databases, with capacities of 7.8 TB, 18.5 TB, and 24.7 TB. [165] Facebook handles 50 billion photos from its user base. [166] As of June 2017, Facebook reached 2 billion monthly active users. [167]
Their development typically involves server-side coding, client-side coding and database technology. The programming languages applied to deliver such dynamic web content vary vastly between sites. Programming languages used in most popular websites*
DBLP is a computer science bibliography website. Starting in 1993 at Universität Trier in Germany, it grew from a small collection of HTML files [1] and became an organization hosting a database and logic programming bibliography site. Since November 2018, DBLP is a branch of Schloss Dagstuhl – Leibniz-Zentrum für Informatik (LZI). [2]
IGDB (Internet Games Database) IMDb (Internet Movie Database) INDUCKS; IndexMaster; Informit (database) Inorganic Crystal Structure Database; Interment.net
A very large database, (originally written very large data base) or VLDB, [1] is a database that contains a very large amount of data, so much that it can require specialized architectural, management, processing and maintenance methodologies.
Earth science: All subdomains of Earth Science and related domains of planetary science 3,817 2017 California Digital Library: EcoEvoRxiv: Ecology: A free preprint service for ecology, evolution and conservation 366 2018 Center for Open Science: EconStor: Economics and Business Studies A subject based repository with a high share of working ...
User queries are matched against the database information. However, as opposed to classical SQL queries of a database, in information retrieval the results returned may or may not match the query, so results are typically ranked. This ranking of results is a key difference of information retrieval searching compared to database searching. [2]