Learn about the various technologies used behind the scenes by ArcGIS Online and the ArcGIS API for JavaScript that help you work with more features in the browser. We’ll demonstrate step-by-step how to optimize a large dataset for rendering and analysis in the browser starting with data preparation, feature service settings, and visualization techniques in the ArcGIS API for JavaScript that will allow your users to work with more data more efficiently in your web apps. We hope to have you walk away inspired with innovative ways to do the same in your apps.
📚 Resources
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🕑 Chapters
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00:00 Introduction
00:24 Considerations before you start development
02:46 Behind the scenes
05:30 Data structure returned from feature tile query
06:29 Memory optimization to draw graphics
07:20 Feature layer performance in 2021
07:53 Feature layers
19:53 Raster Tiled Layers
21:57 Vector Tiled Layers
21:37 Visualization techniques: Scale-dependent filtering
24:53 Filter by scale using attributes
26:13 Filter by scale using view resolution
31:20 Visualization techniques: Clustering
36:46 Data prep and processing
38:31 Example: One ocean app (EMU dataset +4GB)
40:02 Generalization: One point per x,y location
40:58 Generalization: Geometry thinning
42:14 Reduce columns: Attribute thinning
44:32 Request data upfront: For client-side goodness
46:32 Conclusion
47:02 Q&A
Tags: #jsmaps #performance #developer
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