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DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]
MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software ...
ILM is the practice of applying certain policies to accomplish effective information management. [1] This practice originated from managing information in physical forms such as paper, microfilm, negatives, photographs, audio and video recordings [2] [citation needed]. It refers to the information management of any product or process from start ...
The data lifecycle. Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data ...
Open Services for Lifecycle Collaboration (OSLC) is an open community, originally proposed in 2008, [1] to define a set of specifications that enable integration of software development. It has evolved, and continues to evolve, to areas such as Application Lifecycle Management (ALM), Product Lifecycle Management (PLM), IT Operations and more.
Data governance involves the coordination of people, processes, and information technology necessary to ensure consistent and proper management of an organization's data across the business enterprise. It provides all data management practices with the necessary foundation, strategy, and structure needed to ensure that data is managed as an ...
ISO/IEC/IEEE 12207 Systems and software engineering – Software life cycle processes [1] is an international standard for software lifecycle processes. First introduced in 1995, it aims to be a primary standard that defines all the processes required for developing and maintaining software systems, including the outcomes and/or activities of each process.
Application lifecycle management (ALM) is the product lifecycle management (governance, development, and maintenance) of computer programs. It encompasses requirements management, software architecture, computer programming, software testing, software maintenance, change management, continuous integration, project management, and release ...
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