Why use a DLT pipeline?
💡 Model Answer
DLT pipelines simplify data engineering by automating many operational tasks. They provide automatic incremental processing, schema enforcement, and data quality checks, reducing manual code. DLT also offers built‑in lineage, monitoring, and alerting, which speeds up debugging and compliance. Because it runs on Databricks, it can leverage Spark’s performance and integrates with notebooks and ML workflows. Overall, DLT lowers the engineering effort, improves reliability, and accelerates time‑to‑value for data projects.
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