What are real-time data pipelines and how do they work?
An example of an AI chatbot conversation about real-time data pipelines and their functionality.
What are real-time data pipelines and how do they work?
Real-time data pipelines are systems that process and analyze data as it is generated, allowing for immediate insights.
What technologies are commonly used in real-time data pipelines?
Common technologies include Apache Kafka, Apache Flink, and AWS Kinesis, which facilitate data streaming and processing.
Can you explain the difference between batch processing and real-time processing?
Batch processing handles data in large groups at scheduled times, while real-time processing deals with data instantly as it arrives.
What are some use cases for real-time data pipelines?
Use cases include fraud detection, real-time analytics, and monitoring IoT devices for immediate responses.
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