Explore some personal data sources (ideas here, but you are not limited to these) and build a basic ‘dynamic data faker’
Posted: Fri Jul 01, 2022 5:35 am
Explore some personal data sources (ideas here, but you are not limited tothese) and build a basic ‘dynamic data faker’ and create a Loom video topresent your work and the logic you have applied.The target of the test challengeThis will help us to assess your current skills level, creativity, resourcefulness, learning,communication patterns, etc. As well as the quality/logic of your initial dynamic data faker build.It also will help you to get a better understanding of what Prifina is about, and also a bit moreabout what the actual work with us would be like, before committing to an actual agreementfrom both sides.After the test challenge, we can continue with more dynamic data fakers but also go deeper intohow different data sources are connected in Prifina's back-end architecture and how data isprocessed for actual reusability into users’ personal data clouds. And also, how that data can beused to create new types of personal data apps and data widgets.
e. Github for Dynamic Data Fakersi. -> In GitHub repositories, click watch & star to be notified of updates. Andalso make a fork of the repositories that you will work on.
3. Choose a specific data source or a use case4. Research relevant details about it and related to it what you will need/consider using aspart of your development5. Create a plan outline/steps for how you would develop it and any additional resources orquestions still open about it at this point.6. Create a Loom video to present your selection, approach, and open question you haveat this point for comments/feedback7. Join our community slack, where you can ask questions related to your test taskchallenge that is specific to our platform/resources. Feel free to also introduce yourselfon the general channel.
8. Share a link to your plan and Loom video (ie via Google Docs or similar) with thecoordinator and/or into community slack.Expected turnaround time: 1-2 days.Phase two - Develop1. Create a simple dynamic data faker, similar to these personal data source examples thatare available here in our open-source repository. No need to make it extensive, as fewobjects/attributes are enough to give us a sense of how you approach this and what youare able to create.2. You can freely choose the type of data set (data model & replicated source) to work with.As long as those are different from what’s already there. Or you can also choose toextend some of the existing ones.3. If you choose to work on a new data type, based on our experience, the most motivatingand inspiring data types to work with, are the types that you would be personallyinterested in, want to learn some new insights, and try to gain new value from (ie.services you use, related activities you do, etc). You can also use this page as areference to choose from https://www.prifina.com/your-data.html4. Once you are done, commit your dynamic data faker code and create a Loom video topresent your work and the logic you have applied, along with any open questions youhave at any point for comments/feedback and post to community slack.Expected turnaround time: 1-2 days.
Example: Oura data source -> dynamic data faker● Data source: The website with UI views available to see types of widgets to create & APIdocs● Into dynamic data faker: Open source Dynamic-Data-Faker created based on this forlocal development needs & NMP package (NodeJS)
e. Github for Dynamic Data Fakersi. -> In GitHub repositories, click watch & star to be notified of updates. Andalso make a fork of the repositories that you will work on.
3. Choose a specific data source or a use case4. Research relevant details about it and related to it what you will need/consider using aspart of your development5. Create a plan outline/steps for how you would develop it and any additional resources orquestions still open about it at this point.6. Create a Loom video to present your selection, approach, and open question you haveat this point for comments/feedback7. Join our community slack, where you can ask questions related to your test taskchallenge that is specific to our platform/resources. Feel free to also introduce yourselfon the general channel.
8. Share a link to your plan and Loom video (ie via Google Docs or similar) with thecoordinator and/or into community slack.Expected turnaround time: 1-2 days.Phase two - Develop1. Create a simple dynamic data faker, similar to these personal data source examples thatare available here in our open-source repository. No need to make it extensive, as fewobjects/attributes are enough to give us a sense of how you approach this and what youare able to create.2. You can freely choose the type of data set (data model & replicated source) to work with.As long as those are different from what’s already there. Or you can also choose toextend some of the existing ones.3. If you choose to work on a new data type, based on our experience, the most motivatingand inspiring data types to work with, are the types that you would be personallyinterested in, want to learn some new insights, and try to gain new value from (ie.services you use, related activities you do, etc). You can also use this page as areference to choose from https://www.prifina.com/your-data.html4. Once you are done, commit your dynamic data faker code and create a Loom video topresent your work and the logic you have applied, along with any open questions youhave at any point for comments/feedback and post to community slack.Expected turnaround time: 1-2 days.
Example: Oura data source -> dynamic data faker● Data source: The website with UI views available to see types of widgets to create & APIdocs● Into dynamic data faker: Open source Dynamic-Data-Faker created based on this forlocal development needs & NMP package (NodeJS)