Explanation:
Change Data Feed (CDF) solves the challenge of propagating incremental updates and deletes to downstream systems. Instead of consumers having to perform costly full table scans or re-process entire datasets to identify changes, CDF exposes a stream of row-level modifications (inserts, updates, and deletes) that can be consumed incrementally.
How does the Delta Lake Change Data Feed (CDF) feature specifically assist downstream consumers in handling data modifications?
A
It streamlines the management of complex schema evolutions across a multi-table Lakehouse architecture.
B
It improves query performance by automatically optimizing file sizes through background compaction.
C
It enables the efficient propagation of row-level deletes and updates without requiring expensive full table scans.
D
It automates the physical partitioning of the table to enhance overall storage and retrieval performance.
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