KSB SE & Co. KGaA is a global player when it comes to pumps, valves and innovative system solutions. In order to optimally use IIoT data for AI algorithms, a scalable data infrastructure was required. The challenge: efficiently structuring data management, ETL processes and operations. Our task? To develop a modern and future-proof serverless solution […]
- AI, DataLake, IoT, Serverless Architecture
Projekt
Serverless Data Analysis
Challenge
Manage and Scale Data Flood
KSB was faced with the question of how to efficiently integrate and process large amounts of IoT data into their products – without the need for a large, dedicated team. The goal was to implement efficient ETL processes while creating a scalable architecture that keeps pace with growing demands.
Solution
Serverless and Scalable With AWS
Our approach was clear: we developed an AWS-based Data Lake solution that offers KSB maximum flexibility and efficiency:
- Simplify ETL Processes
We streamlined KSB’s ETL capabilities and optimized the data structure. To top it off, we provided AWS training sessions to prepare the team for the future. - Scalable Architecture
With our serverless solution, KSB can easily process the growing amount of data without a huge dedicated team. - AWS Best Practices
We supported KSB in integrating agile processes and confidently overcoming technical hurdles – with established best practices and the right AWS tools.
Result
Efficient Data Management, Ready for the Future
The result is a lean, cost-efficient solution that has not only saved KSB operating costs but also enormously simplified data management. What’s more: KSB now has a solid foundation to further expand its IoT strategy and confidently meet future requirements.
The combination of their profound technical know-how, their quick adaptability to new circumstances, and their constant commitment to quality makes our partnership especially valuable.
Jochen Mades · Head of Development Competence Platforms · KSB SE & Co. KGaA
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