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Bitbucket Cloud (previously known as Bitbucket) is written in Python using the Django web framework. [1] Bitbucket is mostly used for code and code review. Bitbucket supports the following features: Pull requests with code review and comments [2] Bitbucket Pipelines, [3] a continuous delivery service
Data federation – Combine result sets from across multiple source systems. Data delivery – Publish result sets as views and/or data services executed by client application or users when requested. Data virtualization software may include functions for development, operation, and/or management. [citation needed]
Apache Beam “provides an advanced unified programming model, allowing (a developer) to implement batch and streaming data processing jobs that can run on any execution engine.” [23] The Apache Flink-on-Beam runner is the most feature-rich according to a capability matrix maintained by the Beam community. [24]
In the case of a hybrid model, the software product offers a combination of cloud-based SaaS functionality and on-premises capabilities. It allows organizations to deploy the software partly in the cloud, and partly on their local infrastructure or inside their Virtual Private Cloud depending on their specific requirements and preferences.
"A cloud deployment model represents the way in which cloud computing can be organized based on the control and sharing of physical or virtual resources." [3] Cloud deployment models define the fundamental patterns of interaction between cloud customers and cloud providers. They do not detail implementation specifics or the configuration of ...
Gradle – Free software build automation tool; with a Groovy-based domain specific language (DSL), combining features of Apache Ant and Apache Maven with more features like a reliable incremental build; Grunt – JavaScript build tool; Gulp – Server-side JavaScript build tool
Data and task parallelism, can be simultaneously implemented by combining them together for the same application. This is called Mixed data and task parallelism. Mixed parallelism requires sophisticated scheduling algorithms and software support. It is the best kind of parallelism when communication is slow and number of processors is large. [7]
Platform as a service (PaaS) or application platform as a service (aPaaS) or platform-based service is a cloud computing service model where users provision, instantiate, run and manage a modular bundle of a computing platform and applications, without the complexity of building and maintaining the infrastructure associated with developing and launching application(s), and to allow developers ...