What is data velocity and why is it important?
An example of an AI chatbot conversation about data velocity in data management.
What is data velocity and why is it important?
Data velocity refers to the speed at which data is generated, processed, and analyzed. It's crucial for real-time decision-making.
Can you give me examples of high data velocity scenarios?
Sure! Examples include stock trading platforms, social media feeds, and IoT devices that generate data continuously.
How does data velocity impact data storage solutions?
High data velocity requires storage solutions that can handle rapid data ingestion and retrieval, often using cloud technologies.
What technologies help manage data velocity?
Technologies like Apache Kafka, stream processing frameworks, and real-time analytics tools are essential for managing data velocity.
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