High Volume Intelligent Streaming with Sub-Minute SLA for Near Real-Time Data Replication
Summary
This video demonstrates a metadata-driven ETL framework built on Databricks that automates data ingestion, curation, and quality checks across both batch and streaming sources. It also explains an intelligent streaming optimization using dynamic thread pools to process Kafka change data capture events more cost-efficiently.
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