Bringing Data to your Client-Side Apps
summary
Claim: modern browsers handle real data crunching so client-side apps compute metrics, filter views and drive visuals. Examples: TaffyDB row queries for SQL‑like selection, Crossfilter with typed arrays for very fast multi‑dimensional filtering and histograms, and the Miso dataset with evented views that fetches/parses sources, computes columns and syncs selections. Built demos include D3 scatter plots and histograms over 570 scraped heroes with 174 superpowers (about five per hero one has 45) and a node pipeline that handles hundreds of thousands of tweets.
AI-written summary · about
chapters (4)
related talks
20mA framework for building data driven interactive front ends
32mFrom hot data sources to interactive clients in a hurry
44mHow to Approach Modern Web Applications
26mData Fetching Unleashed: Next.js, React Query and their BFF
38mThe Front End Architecture Revolution
26mBetter living through components
22mVisualising Enterprise Data with Angular & d3
29mSolving Real World Data Fetching Challenges: A Pragmatic Case Study
