Cloud Engineering

Verdant Data Lake

A scalable cloud data lake and pipelines handling millions of IoT sensor readings every day.

Millions of events / day
Cloud Engineering2023
Client
Verdant AgriTech
Industry
AgriTech
Timeline
9 weeks
Year
2023
Built with
Kafka · Spark · S3 · AWS
The challenge

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.

Where Verdant AgriTech started.
Our approach

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.

Designing the solution.
The finished Verdant Data Lake - product overview.
How we delivered it

A clear, low-risk process

01

Discover

We dig into your goals, users and constraints to agree exactly what success looks like before any work begins.

02

Design

We map the solution - architecture, flows and scope - so everyone knows what we're building and why.

03

Build

We deliver in short, visible iterations, so you see real progress every week and can steer as we go.

04

Launch & support

We ship to production, measure the results and keep improving - you're never left with something half-finished.

Highlights

What we delivered

  • Streaming ingestion pipelines
  • Scalable cloud data lake
  • Processing & transformation
  • Analytics-ready storage
A key feature in action.
On every screen

Designed for mobile too

Home
Detail
Insights
Results

The outcome

MillionsEvents / day
Real-timeIngestion
AnalyticsReady storage
“We can finally use all our sensor data instead of drowning in it.”
Nomsa DlaminiData Lead · Verdant AgriTech
More work

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