Visualizing big data

on YouTube ↗41m

" summary

Builds an interactive JavaScript dataviz connected to a couple hundred million rows in Amazon Redshift, using D3.js for visuals and OpenBouquet as the server+SDK. OpenBouquet reverse‑engineers schemas, auto‑creates metrics/dimensions, caches query results and automatically indexes high‑cardinality text columns into Elasticsearch for fast filtering. The demo shows reusable widgets, saved “bookmarks” (preconfigured analyses), a skeleton app that runs queries via JDBC and an approach that keeps computation inside the database.

AI-written summary · about

" chapters (4)

1. 0:00Start
2. 16:28Filter on the Post Creation Date
3. 17:12Custom Metrics
4. 24:45Json View

" related talks

• 46mExplorations in Interactive Visual AnalyticsDoug Talbott · GOTO Copenhagen 2014
• 57mVisualization Tools for Data DiscoveryLynn Langit · PASS BA Marathon 2015
• 03h 07mData of Unusual Size: Interactive VisualizationPavithra Eswaramoorthy, Dharhas Pothina · PyCon US 2023
• 27mScalable Data VisualizationZach Nation · React.js Conf 2015
• 53mTips and tricks for robust big data applicationsYousry Mohamed · NDC Sydney 2020
• 59mBig data beautiful visualization on the browser with BokehFabio Pliger · EuroPython 2015
• 42mInteractive Data Analysis: Visualization and BeyondJeffrey Heer · PyData Seattle 2017
• 14mLightning Talk: Visualizing Data Confidently. Integrating React and Tableau PublicRafał Bagrowski · FrontEnd Con 2018