GIỚI THIỆU VỀ TẬP NÀY
If you are still trying to run your entire geospatial workflow on a local desktop, you are fighting a losing battle. The "Modern GIS Stack" looks chaotic at first glance with dozens of logos, cloud formats, and new databases. But once you strip away the noise, there are actually only a few key layers you need to master to make it all work.
🚀 Don't navigate this shift alone. Join the Spatial Lab: https://forrest.nyc/spatial-lab/
In this video, I break down the architecture that is replacing the traditional GIS model. We move beyond Shapefiles and Geodatabases into the world of Cloud-Native Geospatial, showing you exactly how Storage, Compute, and Analytics have separated—and how you can use them to scale your career.
📰 Daily modern GIS insights: https://forrest.nyc
00:00 - The Modern GIS Chaos
00:34 - The Shift to Cloud-Native Formats
01:14 - Why Storage Buckets Replaced Hard Drives
02:07 - Essential Formats: GeoParquet, COGs & Zarr
03:57 - Adding Intelligence: STAC & Iceberg Catalogs
06:07 - Transformation & Orchestration (GDAL, dbt, Airflow)
08:30 - The 3 Engines of Modern GIS
08:48 - Engine 1: The Processing Layer (Sedona, Wherobots)
11:19 - Engine 2: The Transactional Layer (PostGIS)
12:38 - Engine 3: The Analytical Layer (BigQuery, Snowflake, DuckDB)
14:54 - Mapping Modern Layers to Traditional GIS
16:29 - The Application Layer: Analytics & BI
17:35 - Connecting QGIS & Python to the Cloud
18:30 - Modern Web Maps (Felt, Mapbox, DeckGL)
20:24 - Conclusion: You Don't Need to Learn Everything
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💼 LinkedIn: https://www.linkedin.com/in/mbforr/
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🌐 Website: https://forrest.nyc
