Building a GIS SaaS App using MongoDB
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The document discusses building a GIS SaaS app using MongoDB to provide tools for GIS departments to quickly deploy web maps. The solution indexes GIS points and layers from third party web map services in MongoDB databases to enable fast keyword auto-suggestion and creation of databases on the fly. The app utilizes technologies like MongoDB, JSON.NET, and ASP.NET MVC with only a few lines of code needed for caching and search functionality.
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Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
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At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
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Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
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At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
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Building a GIS SaaS App using MongoDB
- 1. Using MongoDB to build a GIS SaaS App
- 2. Overview What are we building? ● A solution to help gis departments get there web maps up FAST! ● Built-in ready to go tools. ● Flexibility to handle third party web mapping services. myiDV
- 3. lem ...or op portunity? The prob A lot of different 3rd party REST map services and no easy & fast way to search.
- 4. The Solution? ???
- 5. The Solution! Mungo!!
- 7. What we wanted! ● Fast keyword auto suggestion ● Ability to create databases on the fly ● Indexing of GIS points
- 8. How we did it! ● Incremental caching ● async requests to web map services ● indexed web map service layers ● setup multiple caching databases for each layer
- 9. myiDV
- 10. ngoDB Cach e database Mo
- 11. C ache Code Only 31 lines of code!
- 12. Cache Search Code Only 24 lines of code!
- 13. Technologies Json.NET - http://json.codeplex.com/ MongoDB C#/.NET driver Asp.net MVC
- 14. Other Mo ngoDB uses ● User profiles ● Geocoded Addresses ● Site settings for Administration Console ● Map settings ● User generated content for every map
- 15. My Info Donny Velazquez [email protected] twitter: @Donny_V CivilSolutions.biz