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For integrating real-time data into a lakehouse, which method best reduces latency and maintains data freshness for analytics?
A
Manual data uploads by end-users or data owners as new data becomes available.
B
Periodic snapshots of source systems to capture and load changes.
C
Batch loading data at regular intervals using ETL jobs.
D
Streaming data directly into the lakehouse using a service like Apache Kafka.
