What are the key challenges in IoT data management

1. Know Key challenges in IoT data management The key challenges in IoT data management include: Data Security IoT devices collect sensitive data that needs to be secured against breaches and protected under data privacy laws. Securing this data transmission and storage is a major challenge Data Volume and Velocity The sheer volume and speed of data generated by IoT devices can overwhelm traditional data management systems. Handling the high volume, velocity, and variety of IoT data is a significant challenge Data Integration and Interoperability Integrating IoT data from diverse devices, sensors, and sources into a unified view is difficult due to data silos and lack of interoperability. Correlating and contextualizing this disparate data is crucial. Data Quality and Governance Extracting meaningful insights from the massive amounts of IoT data through advanced analytics and machine learning is critical, but also technically demanding For more information : www.mongrov.com/