What are the main challenges in real-time data processing?
Some key challenges include data velocity, data variety, system scalability, and ensuring data accuracy.
How does data velocity impact processing?
Data velocity refers to the speed at which data is generated and needs to be processed. High velocity can overwhelm systems.
What solutions exist to handle these challenges?
Solutions include using distributed systems, stream processing frameworks, and implementing robust data validation techniques.
Can you give examples of tools used for real-time data processing?
Sure! Tools like Apache Kafka, Apache Flink, and Amazon Kinesis are popular for real-time data processing.
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