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A database is an organized collection of data or a type of data store based on a database management system (DBMS). Learn about the history, design, functions and classification of databases and DBMSs, from navigational to NoSQL, and their applications.
Microsoft Access is a relational database program from Microsoft that combines a graphical user interface and software-development tools. It can store data in its own format or import or link to other databases, and supports Visual Basic for Applications programming language.
In particular, advanced query engines often leverage each orientation's advantages, and convert from one orientation to the other as part of their execution. As an example, an Apache Spark query may read data from Apache Parquet (column-oriented) load it into Spark internal in-memory format (row-oriented)
Informix supports a database mode called ANSI mode which supports creating objects with the same name but owned by different users. PostgreSQL and some other databases have support for foreign schemas, which is the ability to import schemas from other servers as defined in ISO/IEC 9075-9 (published as part of SQL:2008). This appears like any ...
Learn about the definition, comparison, advantages, disadvantages, interview guides and ethical considerations of semi-structured interviews, a method of research used in the social sciences. A semi-structured interview is a combination of structured and unstructured interviews, allowing some flexibility and openness in the questions and answers.
Learn about different forms of storing database tables and indexes on disk, such as flat files, ISAM, heap files, hash buckets, and B+ trees. Compare their advantages and disadvantages, and see examples of data orientation and correlation databases.
A centralized database is a database that is stored and maintained in a single location, such as a computer or a server. It has advantages such as data integrity, ease of administration, and ACID transactions, but also disadvantages such as network speed, single point of failure, and difficulty to scale.
Loose coupling is a computing and systems design concept that means components are weakly associated and have little or no knowledge of each other. Learn about the advantages, disadvantages, and methods of loose coupling in different subareas, such as classes, interfaces, data, services, and programming languages.