Storage Solution for Sensor Data (Pilot)

SUMMARY

How can you turn raw data from manufacturing into a strategic asset that improves quality and cuts costs?

This course dives into the heart of industrial data management, offering the tools and insights to transform your manufacturing setup with data-driven quality control and anomaly detection. This training uncovers the essentials of data storage solutions—giving you the expertise to decide between on-premises, cloud, and hybrid options based on your unique operational needs.

We’ll cover everything from optimizing data formats for real-time analysis to designing cost-effective storage that doesn’t compromise on speed or security. Through hands-on scenarios and interactive exercises, you’ll learn best practices for managing sensor data from the factory floor to the cloud, keeping your costs lean and your data accessible. Each section will equip you with the know-how to select, organize, and protect data effectively, ensuring your manufacturing environment is ready to harness the power of data-driven decisions.

Whether you’re looking to improve quality control, enhance product reliability, or streamline operations, this course will guide you step-by-step in building a storage infrastructure that works for you. Jump in and discover how smart data storage can unlock unprecedented value in your manufacturing processes!

About The Author

Dilek Dustegor is a Professor of Computing Science at the University of Groningen in the Netherlands. She is interested in bridging the gaps between research, development and implementation using AI and automation. She is pursuing research about modeling, design and analysis of large scale / networked systems using IoT and ML techniques, with a special interest in smart city applications. She is a seasoned educator, and loves using the newest educational technologies for an enhanced learning experience.