Our client, one of the largest manufacturers in Europe, sought a sophisticated and dynamic solution to tackle the challenges associated with CO2 emission reduction and product lifecycle information capture.
The main challenges included reducing CO2 emissions by 15% and capturing information throughout the product lifecycle. Migrating legacy data from mainframe systems and ingesting streaming data in near real-time presented significant technical hurdles.
We developed a comprehensive solution that decoupled the producer and consumer via federated data governance. Our approach involved an event-driven, serverless/containerized solution, and the construction of a data lakehouse using data mesh architecture.To provide the most suitable solution, we integrated best-of-breed technologies such as Databricks, AWS S3, Glue, Lakeformation, Azure DevOps, Snowflake.Data Hub, and Tableau. These technologies facilitated the seamless ingestion and processing of real-time and legacy data.
Our intelligent data solution delivered a range of benefits, including:
Through our innovative approach to cloud engineering and data analytics, we helped one of Europe's largest manufacturers overcome significant challenges and achieve their strategic objectives. We are ready to do the same for your business.
Keywords: largest manufacturer in Europe, CO2 emission reduction, product lifecycle information capture, legacy data, streaming data, real-time data ingestion, federated data governance, serverless solution, containerized solution, data lakehouse, data mesh architecture, Databricks, AWS S3, Glue, Lakeformation, Azure DevOps, Snowflake.Data Hub, Tableau, carbon reduction, near real-time data to decisions, cost savings, customer satisfaction improvement.