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Azure DevOps, 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.
Azure DevOps may refer to: Azure DevOps Server, collaboration software for software development formerly known as Team Foundation Server and Visual Studio Team System;
Azure Linux, previously known as CBL-Mariner (in which CBL stands for Common Base Linux), [3] is a free and open-source Linux distribution that Microsoft has developed. It is the base container OS for Microsoft Azure services [ 4 ] [ 5 ] and the graphical component of WSL 2 .
Bitbucket Server is a commercial software product that can be licensed for running on-premises. [21] Atlassian provides Bitbucket Server for free to open source projects meeting certain criteria, and to organizations that are non-profit, non-government, non-academic, non-commercial, non-political, and secular.
Azure Data Lake is a scalable data storage and analytic service for big data analytics workloads that require developers to run massively parallel queries. Azure HDInsight [ 31 ] is a big data-relevant service that deploys Hortonworks Hadoop on Microsoft Azure and supports the creation of Hadoop clusters using Linux with Ubuntu.
Data and model versioning is the base layer [21] of DVC for large files, datasets, and machine learning models. It allows the use of a standard Git workflow, but without the need to store those files in the repository. Large files, directories and ML models are replaced with small metafiles, which in turn point to
Azure offers both the platform via web interface (Platform as a Service) and the hardware via virtual servers allocated to Azure accounts for data storage and processing (Infrastructure as a Service). [5] Azure Search resides within the Microsoft IaaS and PaaS suite as a service, I.E. Search as a Service (SaaS).
RapidMiner uses a client/server model with the server offered either on-premises or in public or private cloud infrastructures.. RapidMiner provides data mining and machine learning procedures including: data loading and transformation (ETL), data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment.