Real-time IoT Data Stream Processing

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Question ^*

What is the primary source of your IoT data?

1. Sensors (temperature, pressure, etc.)

2. Connected devices (e.g., wearables, vehicles)

3. Industrial equipment (machinery, robots)

4. Other (specify)

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Question ^*

What is your most critical requirement for processing IoT data streams?

1. Low latency for immediate action

2. Complex event processing and pattern detection

3. Data aggregation and summarization

4. Data storage and archiving

5. Other (specify)

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Question ^*

What are your biggest challenges in processing IoT data in real-time?

1. Data volume and velocity

2. Data quality and reliability

3. Cost of processing and storage

4. Lack of skilled personnel

5. Integration with existing systems

6. Other (specify)

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Question ^*

What type of analytics are most important for your IoT data?

1. Real-time monitoring and alerting

2. Predictive maintenance and anomaly detection

3. Performance optimization and efficiency improvements

4. Historical analysis and trend identification

5. Other (specify)

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Question ^*

What real-time IoT data processing tools/technologies do you currently use (if any)?

1. Cloud-based platforms (e.g., AWS IoT, Azure IoT Hub, Google Cloud IoT)

2. Streaming data platforms (e.g., Apache Kafka, Apache Flink, Apache Spark Streaming)

3. Database technologies (e.g., NoSQL databases, time-series databases)

4. Custom-built solutions

5. None

6. Other (specify)

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