Difference between revisions of "Data Deployment"
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# Installing [[Dockers and Kubernetes]] | # Installing [[Dockers and Kubernetes]] | ||
# Launch [[PKC Data Services]] | # Launch [[PKC Data Services]] | ||
=Visualizing Data= | |||
# Tools such as Apache SuperSet<ref>Tutorial - Creating your first dashboard, https://apache-superset.readthedocs.io/en/0.35.1/tutorial.html</ref> can be very useful. | |||
Revision as of 05:27, 3 July 2021
Data Deployment is about orchestrating hardware and software resources to ensure data services would be accessible by its desired users. In the context of Data Governance, Data Deployment is one of the four modules that focuses on the operational and project management aspects of data asset management.
Industrial-Strength Data Deployment Solutions
An important approach in Data Deployment is that many existing commercial solutions and free/open source technologies are already available, and can be leveraged to standardize the process of deploying data services. However, due to economic and politcal concerns, there are many policy and price-sensitive considerations that must be made explicit. Therefore, in the module of Data Deployment content, one should be informed of these concerns in terms of a resource lookup table, or a best-practice repository, so that known solutions can be adopted without re-inventing the wheel.
Deploying Services
To set up a fully functional data pipeline, the following pages will provide operational guidance:
- Testing on Vagrant
- Installing Jenkins
- Installing Dockers and Kubernetes
- Launch PKC Data Services
Visualizing Data
- Tools such as Apache SuperSet[1] can be very useful.
- ↑ Tutorial - Creating your first dashboard, https://apache-superset.readthedocs.io/en/0.35.1/tutorial.html