Issue 13 parquet duckdb #15
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ekansa
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Aug 14, 2025
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| This tutorial demonstrates how to efficiently analyze large geospatial datasets directly in your browser without downloading entire files. We'll use DuckDB-WASM and Observable JS to perform fast, memory-efficient analysis and create interactive visualizations. | ||
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| **Note**: This tutorial attempts to connect to the live iSamples dataset (~300MB, 6+ million records). If CORS restrictions prevent access to the remote file, it automatically falls back to a representative demo dataset that demonstrates the same analytical techniques. |
| - **In-Browser Analytics**: Full analytical database running in JavaScript | ||
| - **Interactive Visualization**: Real-time exploration with Observable Plot | ||
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| This approach enables **big data analysis in any browser** and makes large-scale geospatial analysis universally accessible! 🌍 |
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I like this for the marketing impact. Thanks @rdhyee !
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Tutorial Additions for iSamples Browser-Based Data Analysis
This PR adds two new tutorial pages and updates the site navigation to showcase browser-based analysis of large iSamples datasets using DuckDB-WASM and Observable JS.
Structural Changes
1. New Tutorial Pages Added
tutorials/parquet_isamples_opencontext.qmd(51 lines)tutorials/zenodo_isamples_analysis.qmd(963 lines)2. Site Navigation Updates
_quarto.yml(2 lines added)tutorials/zenodo_isamples_analysis.qmdTechnical Impact
These additions showcase cutting-edge browser-based data analysis techniques and provide comprehensive examples for working with large geospatial datasets in the iSamples ecosystem.