Structure data streaming and processing
Duration
6 months
Team Size
1
Completion
2026
Fast XML processing tool written in Go with data streaming
The Challenge
The main challenge was to process large volumes of XML files with minimal latency, continuously store and index incoming data, and enable fast search and record matching in near real time.
Our Solution
The solution was built as a high-performance data processing pipeline in Go, designed to ingest and process large XML feeds through streaming rather than batch-heavy workflows. By leveraging concurrency, the system parses multiple inputs efficiently, transforms structured records, and persists them into PostgreSQL with reliable indexing for fast retrieval. This architecture enabled near real-time data availability, scalable search, and accurate record pairing, while keeping the tool lightweight, maintainable, and cost-effective for continuous operation.