What is real-time data pipeline architecture?
An example of an AI chatbot conversation about real-time data pipeline architecture.
What is real-time data pipeline architecture?
Real-time data pipeline architecture refers to the design and implementation of systems that process and analyze data as it is generated, allowing for immediate insights and actions.
What are the key components of a real-time data pipeline?
Key components include data sources, data ingestion tools, stream processing frameworks, storage systems, and data visualization tools.
Can you give me an example of a real-time data pipeline?
Sure! An example is a social media analytics platform that collects user interactions in real-time, processes the data to generate insights, and displays them on a dashboard.
What technologies are commonly used in real-time data pipelines?
Common technologies include Apache Kafka for data streaming, Apache Flink or Spark Streaming for processing, and NoSQL databases like MongoDB for storage.
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