Created by gh-md-toc
This project intends to collect, analyze and synthetize referential material about data analytics/analysis.
Even though the members of the GitHub organization may be employed by some companies, they speak on their personal behalf and do not represent these companies.
- Data Engineering Helpers - Knowledge Sharing - Cheat sheets
- Data Engineering Helpers - Knowledge Sharing - Data products
- Data Engineering Helpers - Knowledge Sharing - Data contracts
- Data Engineering Helpers - Knowledge Sharing - Data quality
- Data Engineering Helpers - Knowledge Sharing - Architecture principles
- Data Engineering Helpers - Knowledge Sharing - Data life cycle
- Data Engineering Helpers - Knowledge Sharing - Data management
- Data Engineering Helpers - Knowledge Sharing - Metadata
- Data Engineering Helpers - Knowledge Sharing - Data pipeline deployment
- Data Engineering Helpers - Knowledge Sharing - Semantic layer
- Author: Ilya Boyandin (Ilya Boyandin on LinkedIn)
- Date: Dec. 2025
- LinkedIn post: https://www.linkedin.com/posts/ilyabo_new-sqlroomsorg-example-big-thanks-to-gjore-ugcPost-7410991784463552512-3ZvD/
New sqlrooms.org example, big thanks to Gjore Milevski, showcasing the integration with deck.gl, Kyle Barron's geoarrow layers, and UWData Mosaic idl.uw.edu/mosaic/ for efficient cross-filtering.
- Mosaic on UW IDL web site
- Overview:
- Mosaic is a collaboration of the UW Interactive Data Lab (IDL) and the CMU Data Interaction Group (DIG)
- Mosaic is an extensible framework for linking databases and interactive views
- Explore massive datasets - Visualize, select, and filter datasets with millions or billions of records
- Flexible deployment - Build data-driven web apps, or interact with data directly in Jupyter notebooks
- Interoperable & extensible - Create new components that seamlessly integrate across selections and datasets
- Powered by DuckDB - Mosaic pushes computation to DuckDB, both server-side and in your browser via WebAssembly
- SQLRooms
- SQLRooms - Examples
- GitHub - SQLRooms examples
- Overview: an open source React toolkit for human and agent collaborative analytics apps
- Local Analytics, No Backend Required - Leverage DuckDB's powerful SQL capabilities, enabling fast in browser data processing without a backend
- Own Your Data - Data remains on your local device for maximum privacy, sub-second analytics on large datasets, and offline functionality
- Privacy-Preserving AI Integration - Use agents that can write and execute SQL queries, and generate insights without sharing your data with model providers
- Modular Architecture - Pick and choose the functionality you need for composable, extensible applications, with integrations for popular data visualization libraries
- Modern UI Components - Comprehensive set of React components including data tables, layouts, and visualization tools for building beautiful analytics interfaces
- Offline Use - Work with your data, run queries, and analyze results even without an internet connection. SQLRooms supports offline workflows using persistent storage via OPFS
- GitHub - Wildfire app
- Live on Netlify - Wildfire app
- Author/main contributor: Ross Wygmans (Ross Wygmans on LinkedIn, Ross Wygmans on GitHub)
- LinkedIn post, Dec. 2025
- GitHub - deck.gl DuckDB geoArrow - Earthbrake explorer app
- Live on Netlify - Earthbrake explorer app
- Author/main contributor: Gjore Milevski (Gjore Milevski on LinkedIn, Gjore Milevski on GitHub)
- Post on LinkedIn, Dec. 2025
- GitHub repository
- Doc - Onager
- Author/main contributor: Hassan Abedi (Hassan Abedi on LinkedIn, Hassan Abedi on GitHub)
- Post on LinkedIn: https://www.linkedin.com/posts/hassan-abedi_duckdb-rust-graphanalytics-activity-7410647707998044161-8A17/
- Post on LinkedIn: https://www.linkedin.com/posts/marcoslot_why-we-developed-pgincremental-one-of-activity-7392183986577440770-HCZU/
- Date: Nov. 2025
- Author: Marco Slot