Data Pipeline
A data pipeline is a system or process that automates the movement and transformation of data from various sources to a destination, such as a data warehouse or analytics platform. It involves stages like data ingestion, processing, storage, and delivery, often using tools like Apache Airflow or AWS Glue. This concept is fundamental for enabling data-driven decision-making by ensuring reliable, scalable, and efficient data flow.
Developers should learn about data pipelines when building systems that require handling large volumes of data, such as in big data analytics, machine learning, or real-time applications. It's essential for scenarios like ETL (Extract, Transform, Load) processes, data integration across platforms, and maintaining data quality and consistency in production environments.