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Version control (also known as revision control, source control, and source code management) is the software engineering practice of controlling, organizing, and tracking different versions in history of computer files; primarily source code text files, but generally any type of file.
The following table contains relatively general attributes of version-control software systems, including: Repository model, the relationship between copies of the source code repository Client–server , users access a master repository via a client ; typically, their local machines hold only a working copy of a project tree.
A document-oriented database is a specialized key-value store, which itself is another NoSQL database category. In a simple key-value store, the document content is opaque. A document-oriented database provides APIs or a query/update language that exposes the ability to query or update based on the internal structure in the document. This ...
More complicated designs might log the actual data that changed. This queue table could then be "played back" to replicate the data from the source system to a target. Data capture offers a challenge in that the structure, contents and use of a transaction log is specific to a database management system.
As early as 1985, researchers recognized the need for defining timing attributes in database tables, which would be necessary for tracking changes to databases. [2] This research continued into the 1990s, and the theory was formalized into practical methods for managing data in relational databases, [3] providing some of the foundational concepts for what would later become data version control.
DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. [1] It is designed to make ML models shareable, experiments reproducible, [2] and to track versions of models, data, and pipelines. [3] [4] [5] DVC works on top of Git repositories [6] and cloud storage. [7]
Product data management (PDM) is the name of a business function within product lifecycle management (PLM) that denotes the management and publication of product data. [1] In software engineering, this is known as version control. The goals of product data management include ensuring all stakeholders share a common understanding, that confusion ...
Many document management systems attempt to provide document management functionality directly to other applications, so that users may retrieve existing documents directly from the document management system repository, make changes, and save the changed document back to the repository as a new version, all without leaving the application.