Multi-Cloud Data Lake: Total Control of the Data Ingestion Pipeline Through Intelligent Risk Dashboards
Agribusiness
"Our operation required a data foundation that not only supported the volume and speed of our business areas, but also gave us total visibility over the health of our infrastructure. Today, we have the assurance and total observability over our data ingestion pipeline."
Client (Bunge)
Client Challenge
The strategic challenge of the project consisted of creating a scalable, flexible, and fast data lake capable of meeting with high performance the data distribution needs for all areas of the client's business. Added to this data foundation need, it was imperative to use advanced observability for the continuous generation of alerts regarding infrastructure health and data integrity.
Zappts' Role
To solve this highly complex demand, our team acted directly in the creation of a scalable Multi-Cloud Data Lake infrastructure. The project was architected with a strong focus on data governance, ensuring the correct distribution of analytical views to business areas. Beyond the infrastructure, we implemented monitoring through observability, structuring risk dashboards and preventive alerts to safeguard the operation.
Results
The implementation delivered results of extremely high technical and operational value for the company, notably the precise identification and proactive alerting of risks tied to the technical infrastructure. The project also ensured end-to-end observability of the data ingestion pipeline, providing a much safer, monitored, and predictable corporate environment.
About the company
It is a global leader in agribusiness and food, headquartered in the United States, with a strong presence in connecting farmers and consumers. The company processes grains and oilseeds to provide food, animal nutrition ingredients, and essential biofuels worldwide.
Transform your business with AI Agents
See how companies across industries are scaling with Zappts. Request a strategic assessment and discover the potential for your organization.
Other success cases
AI/ML and Observability: How We Automated Credit Analysis to Reduce Approval Time from 3 Weeks to 1 Day
Implementation of Frontend Web and Mobile Microservices: Agile migration to Oracle cloud that enabled geospatial data integration in the field
