Robin Moffatt • 3/6/2018

Why Do We Need Streaming ETL?

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The article contrasts traditional batch-driven ETL processes with modern streaming ETL using Apache Kafka. It argues that batch processing inherently introduces latency and advocates for Kafka as a streaming platform backbone for real-time data integration, transformation, and analytics across various targets like data lakes, warehouses, and microservices.

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#Data Integration #Apache Kafka #Batch Processing
Why Do We Need Streaming ETL?

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