Difference between revisions of "File:Fig1 Talia JOfCloudComp2019 8.png"

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==Summary==
{{Information
|Description='''Figure 1.''' The three models of the DAaaS software methodology. The DAaaS software methodology is based on three basic models for delivering data analysis services at different levels (application, platform, and infrastructure). The DAaaS methodology defines a new model stack to deliver data analysis solutions that are a specialization of the XaaS (everything as a service) stack and is called "data analysis as a service" (DAaaS). It adapts and specifies the three general service models (SaaS, PaaS, and SaaS) for supporting the structured development of big data analysis systems, tools, and applications according to a service-oriented approach. |Source={{cite journal |title=A view of programming scalable data analysis: From clouds to exascale |journal=Journal of Cloud Computing |author=Talia, D. |volume=8 |pages=4 |year=2019 |doi=10.1186/s13677-019-0127-x}}
|Author=Talia, D.
|Date=2019
|Permission=[https://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International]
}}
== Licensing ==
== Licensing ==
{{cc-by-4.0}}
{{cc-by-4.0}}

Latest revision as of 20:00, 26 February 2019

Summary

Description

Figure 1. The three models of the DAaaS software methodology. The DAaaS software methodology is based on three basic models for delivering data analysis services at different levels (application, platform, and infrastructure). The DAaaS methodology defines a new model stack to deliver data analysis solutions that are a specialization of the XaaS (everything as a service) stack and is called "data analysis as a service" (DAaaS). It adapts and specifies the three general service models (SaaS, PaaS, and SaaS) for supporting the structured development of big data analysis systems, tools, and applications according to a service-oriented approach.

Source

Talia, D. (2019). "A view of programming scalable data analysis: From clouds to exascale". Journal of Cloud Computing 8: 4. doi:10.1186/s13677-019-0127-x. 

Date

2019

Author

Talia, D.

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