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  2. Azure DevOps Server - Wikipedia

    en.wikipedia.org/wiki/Azure_DevOps_Server

    Azure DevOps Server, formerly known as Team Foundation Server (TFS) and Visual Studio Team System (VSTS), is a Microsoft product that provides version control (either with Team Foundation Version Control (TFVC) or Git), reporting, requirements management, project management (for both agile software development and waterfall teams), automated builds, testing and release management capabilities.

  3. YAML - Wikipedia

    en.wikipedia.org/wiki/YAML

    YAML (/ ˈ j æ m əl /, rhymes with camel [4]) was first proposed by Clark Evans in 2001, [15] who designed it together with Ingy döt Net [16] and Oren Ben-Kiki. [16]Originally YAML was said to mean Yet Another Markup Language, [17] because it was released in an era that saw a proliferation of markup languages for presentation and connectivity (HTML, XML, SGML, etc.).

  4. YAML (framework) - Wikipedia

    en.wikipedia.org/wiki/YAML_(Framework)

    YAML (Yet Another Multicolumn Layout) is a cross-browser CSS framework. [2] [3] It allows web designers to create a low-barrier website with comparatively little effort. Integrations of the YAML layouts have been created for various content management systems. These include WordPress, LifeType, TYPO3, Joomla, xt: Commerce and Drupal. [4]

  5. Schema matching - Wikipedia

    en.wikipedia.org/wiki/Schema_matching

    The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects.

  6. Pipeline (software) - Wikipedia

    en.wikipedia.org/wiki/Pipeline_(software)

    The name "pipeline" comes from a rough analogy with physical plumbing in that a pipeline usually [2] allows information to flow in only one direction, like water often flows in a pipe. Pipes and filters can be viewed as a form of functional programming , using byte streams as data objects.

  7. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Pipeline: allowing the simultaneous running of several components on the same data stream, e.g. looking up a value on record 1 at the same time as adding two fields on record 2 Component: The simultaneous running of multiple processes on different data streams in the same job, e.g. sorting one input file while removing duplicates on another file

  8. Named pipe - Wikipedia

    en.wikipedia.org/wiki/Named_pipe

    Every pipe is placed in the root directory of the named pipe filesystem (NPFS), mounted under the special path \\.\pipe\ (that is, a pipe named "foo" would have a full path name of \\.\pipe\foo). Anonymous pipes used in pipelining are actually named pipes with a random name. They are very rarely seen by users, but there are notable exceptions.

  9. Branch predictor - Wikipedia

    en.wikipedia.org/wiki/Branch_predictor

    The purpose of the branch predictor is to improve the flow in the instruction pipeline. Branch predictors play a critical role in achieving high performance in many modern pipelined microprocessor architectures. Figure 1: Example of 4-stage pipeline. The colored boxes represent instructions independent of each other.