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Upon execution, Flink programs are mapped to streaming dataflows. [18] Every Flink dataflow starts with one or more sources (a data input, e.g., a message queue or a file system) and ends with one or more sinks (a data output, e.g., a message queue, file system, or database).
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
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.
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
MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...
"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 ...
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 ...
Code generation is the process of generating executable code (e.g. SQL, Python, R, or other executable instructions) that will transform the data based on the desired and defined data mapping rules. [4] Typically, the data transformation technologies generate this code [5] based on the definitions or metadata defined by the developers.