Answer-first summary for fast verification
Answer: DELTA LIVE TABLES
DELTA LIVE TABLES (DLT) simplifies the management of data dependencies by utilizing DAG-based joins between live tables. This approach effectively addresses the complexities associated with large-scale ETL processes, including the challenges of building and maintaining dependencies, switching between batch and stream processing, ensuring data quality and governance, and improving pipeline operations. For more detailed information, refer to the Databricks documentation on DELTA LIVE TABLES.
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When tasked with building a data pipeline that involves large-scale ETL processes with numerous data dependencies, which tool is best suited to address these challenges?
A
SQL Endpoints
B
DELTA LIVE TABLES
C
AUTO LOADER
D
STRUCTURED STREAMING with MULTI HOP
E
JOBS and TASKS