Desktop GIS is Dying. Here’s What Replaced It.

Описание: 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.

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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.

IN THIS VIDEO:

The End of the Shapefile: Why we are moving to Cloud-Native formats like GeoParquet and Cloud Optimized GeoTIFFs (COGs) that let you query data without downloading massive files.

The "Storage Bucket" Shift: Why your file system is moving to the cloud (S3, GCS) and how "Catalogs" like STAC and Iceberg add the intelligence back into your data.

The 3 Engines of Modern GIS:

Processing Layer: Distributed compute for heavy lifting (Apache Sedona, Wherobots).

Transactional Layer: Where you edit and update (PostGIS).

Analytical Layer (OLAP): Data warehouses for massive aggregations (BigQuery, Snowflake, DuckDB).

The Application Layer: How to connect tools like QGIS, Felt, and Mapbox to this new powerful backend.

MENTIONED IN THIS VIDEO:

File Formats: GeoParquet, COGs, Zarr, PMTiles.
Tools: GDAL, DBT, Airflow.
Databases & Compute: Apache Sedona, Wherobots, PostGIS, DuckDB, BigQuery.
Visualization: KeplerGL, DeckGL, Felt, QGIS.

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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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