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The challenges of working with public data at scale - GDM #17

Muthukumar Kumar August 25, 2021

Please read the original article by Muthukumar Kumar from Geoawesomeness here.

 

The challenges of working with public data at scale - GDM #17 23rd September 2021

Join the Regrid team as we host this wonderful event covering a range of topics including parcel data, spatial analysis and property. What is a parcel? Now is your chance to find out. 


We have all heard and read about the difficulties public organisations and health agencies have had sharing spatial data with each other due to a myriad of issues. Working with public datasets at scale is a challenge. For many of us, it involves finding, cleaning, and standardizing disparate local datasets from over 3000 counties just in the USA. Now imagine the complexities across national boundaries and with the data structure in each country. Every county and state does its data differently, and there is no one standard for normalizing this data... And it’s a deeply human problem — AI just won’t cut it.

hubspotblog-preview

We are delighted to dive into this topic at our upcoming Geoawesomeness Digital Meetup on the 23rd of September together with our colleagues from Regrid and people from across the data industry and public sector who deal with this challenge to discuss tools, strategies, successes, and horror stories.

 

Join us! You can register for the event and join us live this afternoon. Registration is free and all video videos and information will be shared with the registrants. The event is scheduled to begin at 1:00 PM EDT and the panel consists of four presentations with a total of five presenters.

 


As always, please feel free to reach out to our team with any questions about the event or anything else. Our email is parcels@regrid.com

 

Make sure to check out our latest product launch Premium Nationwide Parcel Data + Matched Building Footprints - available for delivery via bulk data file, API & tileserver, and for download instantly by the county in the Regrid Data Store. 

 

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