Demographic Big Data Processing
Fragmented US civic data — collected, processed, and made useful.
A US non-profit building a platform that collects and analyzes public data from government and other institutions.
Public data is scattered across incompatible formats and hard to use at scale. The system had to work reliably with minimal operational overhead.
- 01Ingest data from APIs, file servers, HTML pages, and PDFs
- 02Scale without raising infrastructure costs significantly
- 03Provide quick results while processing fully accurate data in the background
- 04Run continuously with minimal manual intervention
We built the platform on AWS using a hybrid MapReduce + λ-architecture pipeline — fast previews from one branch, fully accurate results from the other — with pluggable fetchers for each data source type and transparent hot/cold storage switching.
The platform successfully processes large, heterogeneous civic datasets with minimal ops effort. It serves individuals, researchers, and businesses for planning and decision-making.
Let’s make sense of your data.
Tell us about your data volumes and goals. We’ll build the pipeline that handles them.