/real-world-DAP

The RealWorld Data Analytics Platform (rDAP) is an advanced data mart curreted for real estate (parcel) that layers several GIS collections with data from government agencies, real estate websites, buplic records, etc.

🌎 RealWorld Data Analytics Platform (rDAP)

Overview

The **RealWorld Data Analytics Platform (rDAP)** is a data services framework that utilizes modern application development practices to deliver advanced real estate data to a core data mart which overlaps GIS sources with data from government agencies, Realestate websites, and public records.

What's the "Big Idea"?

The "BIG" idea is to develop a data source containg layered collections of Geographic Information [(GIS)](https://github.com/sshuair/awesome-gis) data with other public records (i.e. [county appraiser](https://downloads.hcpafl.org) , or [clerk of court](https://www.hillsclerk.com/Additional-Services/Official-Records), etc) so that devs, BI guys, and data scienctists can do their magic!
All contributers must work to **improve** and/or **automate** most of these proccesses:
  • Gather source data πŸ“
  • Map data elements from source πŸ—ΊοΈ
  • Buid flexible code for reusability β™»οΈπŸ“œ
  • Incorporate Test (automated?) scripts at key steps πŸ”
  • Develop with End User in mind πŸ€·β€β™‚οΈ
  • Ask questions and collaborate πŸ§‘β€πŸ€β€πŸ§‘

But Why, tho?


Purchasing a home, for most people, is the single largest financial decision of their life. Sadly, real estate "buyers" make their decisions based only on the **LIMITED** data exposed to them from simple search filters or after an open house. And even for "buyers" who want to do **thorough** research, the data points they want are often isolated and require experience with APIs, Databases, Webs Scraping, or ETL/ELT to extract it. However, I believe truely suffecient data should be easyily accessible and curated into one platform for all "buyers" in order to make a more informed purchasing decision.

Who can Contribute and How

There are many types of "contributers" needed for this project, including those with experience as:
  • Home Buyers ➑️ primary end users of the data who will help guide our requirments & provide feedback loops
  • Bloggers ➑️ aka messenger birds - discuss our project vision thus attracting more users/contributers
  • Architects ➑️ advise, build, and/or maintain architecture for developers (also create archetecture documents)
  • Data Engineers/Developers ➑️ create scipts, databases, pipelines, tech docs including: data flow diagrams, erds, source data dictionaries, etc
  • Data Scientists ➑️ analyze, process, and model data within the datamart & much more
  • Consultants ➑️ data conultants can be helpful for discussing best practices, improvements, and general advice
  • Others ➑️ really anyone who has interest, input, or feedback is welcome to join project discussions