What is a data pipeline?
💡 Model Answer
A data pipeline is an automated workflow that moves data from source systems to destination systems while transforming it along the way. It typically consists of three stages: ingestion (collecting raw data from databases, logs, APIs, or files), transformation (cleaning, enriching, aggregating, or converting data into a usable format), and loading (storing the processed data into data warehouses, lakes, or analytics platforms). Modern pipelines often include monitoring, error handling, and scalability features. They enable organizations to turn disparate data sources into actionable insights, support real‑time analytics, and maintain data quality. Common tools include Apache Kafka for streaming ingestion, Apache Airflow for orchestration, and Spark or Flink for large‑scale transformations.
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