What are the main challenges in data streaming?
An example of an AI chatbot conversation about data streaming challenges.
What are the main challenges in data streaming?
Some key challenges in data streaming include data quality, latency, scalability, and integration with existing systems.
How can we ensure data quality in streaming?
To ensure data quality, implement validation checks, monitor data in real-time, and use data cleansing techniques.
What tools can help with data streaming?
Popular tools for data streaming include Apache Kafka, Apache Flink, and Amazon Kinesis.
Can you explain the concept of latency in data streaming?
Latency in data streaming refers to the delay between data generation and its availability for processing or analysis.
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