So why would anyone want to put alot of data into a browser? Well, for a lot of the same reasons that edge computing and distributed computing have become so popular.

You get the data a lot closer to the user and you don’t have to pay for the compute ;)

… this sounds great but as I found out during this conversation it's not as easy as it might seem!

There are a lot of trade-offs that need to be evaluated when moving data and analytics to the client.

Nick Rabinowitz Senior Staff Software Engineer at Foursquare has a ton of experience with this so he volunteered his time to help us understand more about it.

https://location.foursquare.com/

https://studio.foursquare.com/home

If you are not familiar with the Arrow data format it might be worth checking out

Apache Arrow defines a language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs. The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead

Related podcast episodes that you might find interesting include

H3 grid system

https://mapscaping.com/podcast/h3-geospatial-indexing-system/

The H3 geospatial indexing system is a discrete global grid system consisting of a multi-precision hexagonal tiling of the sphere with hierarchical indexes. H3 is a really interesting approach to tiling data that was developed by UBER and has been open-sourced.

Hex Tiles

https://mapscaping.com/podcast/hex-tiles/

If you have not heard of the H3 grid system before listen to that episode first before listening to this one it will add a lot of useful context!

Spatial Knowledge Graphs

https://mapscaping.com/podcast/spatial-knowledge-graphs/

Foursquare is moving away from spatial joins and focusing on building a knowledge graph. If you are not familiar with graphs this might be a good place to start, also its interesting to hear the reasons for the move from spatial joins to another data structure.

Distribution Geospatial Data

https://mapscaping.com/podcast/distributing-geospatial-data/

This is interesting if you want to understand more about distributed databases and some of the strategies for doing this. It sounds complicated but this episode is a really good introduction!

Cloud Native Geospatial

https://mapscaping.com/podcast/cloud-native-geospatial/

This episode give a solid overview of what cloud-native means and some of the current geospatial cloud native formats out there today

I am constantly thinking about how I can make this podcast better for you so if you have any ideas or suggestions please let me know!

Also, I am thinking of recording a behind-the-scenes episode, is that something you might be interested in? if so what questions do you have?

Some more episodes you might enjoy

ESRI, GIS careers, Geospatial Data Science

QGIS, Geospatial Python, ArcGIS Pro

Google Maps, Geomatics, Cartography

Location Intelligence, Mapping

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Episoder(266)

Fields Of The World

Fields Of The World

Where does one field end and the next one begin? It sounds trivial right up until you try to answer it. In this episode, I'm joined by Hannah Kerner — Assistant Professor at Arizona State University, ...

18 Aug 43min

Virtual Worlds for Physical AI Systems

Virtual Worlds for Physical AI Systems

In this episode I'm joined by Apurva Shah, co-founder and CEO of Duality AI, a company building virtual worlds — or "world models" for robots and physical AI systems. Apurva's path here is an unusual ...

4 Aug 49min

GPS, But 100 Times Stronger

GPS, But 100 Times Stronger

My guest today is Tyler Reid, co-founder and CTO of Xona, a company building the first commercial satellite navigation system. We get into why Tyler and his team are moving satellites into low Earth o...

29 Jul 43min

Turning Aerial Imagery Into a Searchable World

Turning Aerial Imagery Into a Searchable World

Vexcel isn't a household name — but you've almost certainly used their data. This aerial imaging company flies low-elevation aircraft across roughly 45 countries, capturing imagery at 7.5cm resolution...

28 Jul 55min

Cloud Native for the Rest of Us

Cloud Native for the Rest of Us

What happens when you take cloud native geospatial out of the satellite-and-petabyte world and drop it into a small city with no budget and the world's slowest internet connection? In this episode, Da...

20 Jul 38min

Mapping With 360 Cameras

Mapping With 360 Cameras

Jeffrey Martin is the co-founder and CEO of Mosaic, a company building 360-degree camera systems designed specifically for mapping. He's been obsessed with 360 imagery for over 20 years — he built one...

15 Jul 41min

Who Pays for Open Source?

Who Pays for Open Source?

Open source software runs a huge chunk of the geospatial world — but somebody still has to pay for it. In this episode I sit down with Marco Bernasocchi creator of QField and CEO of OpenGIS.ch, to dig...

1 Jul 54min

The Great Retooling

The Great Retooling

Ian Schuler is the CEO of Development Seed — the team behind a lot of the open source tooling that quietly holds up the geospatial world. He's been at the helm for over a decade, and in this conversat...

23 Jun 44min

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