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. One way to deploy data in an organized fashion is to use Logic Model. An example can be found in the way PKC is being deployed. See page Task/K8s_Installation.
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.
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
- Online Business Plan Composition Business Plan Composition
- Tools such as Apache SuperSet can be very useful.
- Tutorial - Creating your first dashboard, https://apache-superset.readthedocs.io/en/0.35.1/tutorial.html