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2. KNIME - Wikipedia

   en.wikipedia.org/wiki/KNIME

   KNIME workflows can be used as data sets to create report templates that can be exported to document formats such as doc, ppt, xls, pdf and others. Other capabilities of KNIME are: KNIMEs core-architecture allows processing of large data volumes that are only limited by the available hard disk space (not limited to the available RAM). E.g.

3. Comparison of API simulation tools - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_API...

   The tools listed here support emulating [1] or simulating APIs and software systems. They are also called [2] API mocking tools, service virtualization tools, over the wire test doubles and tools for stubbing and mocking HTTP(S) and other protocols. [1] They enable component testing in isolation. [3]

4. Microservices - Wikipedia

   en.wikipedia.org/wiki/Microservices

   It is common for microservices architectures to be adopted for cloud-native applications, serverless computing, and applications using lightweight container deployment. . According to Fowler, because of the large number (when compared to monolithic application implementations) of services, decentralized continuous delivery and DevOps with holistic service monitoring are necessary to ...

5. Service-oriented architecture - Wikipedia

   en.wikipedia.org/wiki/Service-oriented_architecture

   SOA is related to the idea of an API (application programming interface), an interface or communication protocol between different parts of a computer program intended to simplify the implementation and maintenance of software. An API can be thought of as the service, and the SOA the architecture that allows the service to operate.

6. Online analytical processing - Wikipedia

   en.wikipedia.org/wiki/Online_analytical_processing

   MOLAP stores this data in an optimized multi-dimensional array storage, rather than in a relational database. Some MOLAP tools require the pre-computation and storage of derived data, such as consolidations – the operation known as processing. Such MOLAP tools generally utilize a pre-calculated data set referred to as a data cube. The data ...

7. gRPC - Wikipedia

   en.wikipedia.org/wiki/GRPC

   It generates cross-platform client and server bindings for many languages. Most common usage scenarios include connecting services in a microservices style architecture, or connecting mobile device clients to backend services. [3] As of 2019, gRPC's use of HTTP/2 makes it impossible to implement a gRPC client in a browser, instead requiring a ...

8. Prometheus (software) - Wikipedia

   en.wikipedia.org/wiki/Prometheus_(software)

   Each of the data sources serves the current values of the metrics for that data source at the endpoint queried by Prometheus. The Prometheus server then aggregates data across the data sources. [8] Prometheus has a number of mechanisms to automatically discover resources that should be used as data sources. [18]

9. Data as a service - Wikipedia

   en.wikipedia.org/wiki/Data_as_a_service

   Data as a service (DaaS) is a cloud-based software tool used for working with data, such as managing data in a data warehouse or analyzing data with business intelligence. It is enabled by software as a service (SaaS). [ 1 ]