Verdant Data Lake
A scalable cloud data lake and pipelines handling millions of IoT sensor readings every day.
- Client
- Verdant AgriTech
- Industry
- AgriTech
- Timeline
- 9 weeks
- Year
- 2023
- Built with
- Kafka · Spark · S3 · AWS
What Verdant AgriTech needed
Verdant's field sensors produced more data than their systems could handle, so most of it went unused and insights were left on the table.
How we solved it
We built a scalable cloud data lake with streaming pipelines that ingest and process millions of readings daily, stored ready for analytics.
A clear, low-risk process
Discover
We dig into your goals, users and constraints - and agree exactly what success looks like, and how we'll measure it, before any work begins.
Design
We map the solution end to end - architecture, flows and scope - so everyone knows what we're building, and why, before we build it.
Build
We deliver in short, visible iterations with working software every week, so you see real progress and can steer as we go.
Launch & support
We ship to production, measure the results against your goals, and keep improving - you're never left with something half-finished.
What we delivered
- ✓Streaming ingestion pipelines
- ✓Scalable cloud data lake
- ✓Processing & transformation
- ✓Analytics-ready storage
Designed for mobile too
The outcome
“We can finally use all our sensor data instead of drowning in it.”
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