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The MySQLi Extension ( MySQL Improved) is a relational database driver used in the PHP scripting language to provide an interface with MySQL databases ( MySQL, Percona Server and MariaDB ). [1] There are three main API options when considering connecting to a MySQL database server: PHP's MySQL Extension. PHP's MySQLi Extension.
Database connection. A database connection is a facility in computer science that allows client software to talk to database server software, whether on the same machine or not. A connection is required to send commands and receive answers, usually in the form of a result set. Connections are a key concept in data-centric programming.
MySQL is a component of the LAMP web application software stack (and others), which is an acronym for Linux, Apache, MySQL, Perl/PHP/Python. MySQL is used by many database-driven web applications, including Drupal, Joomla, phpBB, and WordPress. MySQL is also used by many popular websites, including Facebook, Flickr, MediaWiki, Twitter, and YouTube.
Laravel is a free and open-source PHP - based web framework for building high-end web applications. [3] It was created by Taylor Otwell and intended for the development of web applications following the model–view–controller (MVC) architectural pattern and based on Symfony.
XAMPP ( / ˈzæmp / or / ˈɛks.æmp /) [2] is a free and open-source cross-platform web server solution stack package developed by Apache Friends, [2] consisting mainly of the Apache HTTP Server, MariaDB database, and interpreters for scripts written in the PHP and Perl programming languages. [3] [4] Since most actual web server deployments ...
Hack, JSP, ASP, React JS. PHP Programming at Wikibooks. PHP is a general-purpose scripting language geared towards web development. [8] It was originally created by Danish-Canadian programmer Rasmus Lerdorf in 1993 and released in 1995. [9] [10] The PHP reference implementation is now produced by the PHP Group. [11]
Data transformation. Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. The goal of data wrangling is to assure quality and useful data.
Bigtable is one of the prototypical examples of a wide-column store. It maps two arbitrary string values (row key and column key) and timestamp (hence three-dimensional mapping) into an associated arbitrary byte array. It is not a relational database and can be better defined as a sparse, distributed multi-dimensional sorted map.