What is real-time data architecture?
An example of an AI chatbot conversation about real-time data architecture.
What is real-time data architecture?
Real-time data architecture refers to systems designed to process and analyze data as it is generated, enabling immediate insights.
What are the key components of a real-time data architecture?
Key components include data sources, data ingestion tools, processing engines, storage solutions, and visualization tools.
How does it differ from traditional data architecture?
Unlike traditional architecture, which processes data in batches, real-time architecture focuses on continuous data flow and instant processing.
Can you give examples of technologies used in real-time data architecture?
Sure! Technologies like Apache Kafka, Apache Flink, and AWS Kinesis are commonly used for real-time data processing.
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