Analytics Dashboard
Real-time analytics dashboard processing streaming data with sub-second query response times.
Business teams waited hours for reports. Decision-making was delayed by slow data pipelines that ran nightly batch jobs on stale data.
Built a streaming data architecture with materialized views and incremental aggregation. Data flows from source to dashboard in under 3 seconds.
Streaming pipeline using Apache Kafka for ingestion, TimescaleDB for time-series storage with continuous aggregates.
GraphQL API layer serves frontend queries.
Python workers handle transformation and enrichment.
Materialized views pre-compute common query patterns.
Query response time dropped from minutes to sub-second. Business teams can now make decisions on live data. The dashboard handles 10k+ concurrent users during peak hours.