Data movement patterns explained (ETL, ELT, CDC & more)
Summary
Cloud data architectures have driven a fundamental shift from legacy ETL to ELT, moving transformations directly into scalable storage and compute layers while elevating Change Data Capture for near-real-time needs. Successfully designing modern pipelines requires balancing the reliability and governance trade-offs among scheduled batch jobs, incremental log-based CDC, data virtualization, and operational reverse ETL.
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