Desktop GIS is Dying. Here’s What Replaced It. скачать в хорошем качестве

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

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: the premier community for Modern GIS professionals. Beyond just a step-by-step roadmap to mastering Python, SQL, and Cloud-Native tools, you get direct mentorship, weekly live sessions, and a network of peers building the future of geospatial together. 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. 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. 📰 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 CONNECT WITH ME 📸 Instagram:   / matt_forrest   💼 LinkedIn:   / mbforr   📧 Newsletter: https://forrest.nyc 🌐 Website: https://forrest.nyc