DQ IoT(DQMiner for IoT)
IoT Data Quality Management Solution
DQ IoT® (DQMiner for IoT) is a solution that analyzes and monitors real-time streaming data generated in the IoT environment from a quality perspective.
Differentiators
| Patent Technology | IoT Stream Data Quality Measurement Indicator and Profiling Method and System Realtime Data Quality Management System for Internet of Things and Method |
| Good Software Certification | TTA Good Software Level 1 |
Key Features
| Quality Index | - Sensor streaming data profiling - Streaming data quality indicators |
| Real-time | - Real-time data collection linked to Kafka - Result collection through real-time DB |
| Spark | - Industry well-known Spark structured streaming - Proprietary real-time aggregation function |
| Relationship Analysis | - Data rule of multiple data relationships - Synchronization function for time consistency between data |
| Monitoring | - Quality analysis dashboard - Real-time monitoring of IoT data quality |
Benefits
| Increasing Productivity | The understanding of sensor data is improved, and the pre-processing time is shortened when using/analyzing data. |
| Improving Data Reliability | Improves reliability by maintaining high quality data through IoT real-time data quality diagnosis in smart factories and smart cities. |
