Data Pipeline

Characteristics:
– A sequence of processes that move data from one system to another
– Involves data collection, cleaning, transformation, and storage
– Automates the flow of data to ensure it is ready for analysis or machine learning models
– Can handle large volumes of data in real-time or batch mode
– Ensures data quality and consistency throughout the process

Examples:
– Extracting user activity logs from a website, cleaning the data, and loading it into a data warehouse for reporting
– Streaming sensor data from IoT devices, filtering out noise, and feeding it into a machine learning model for predictive maintenance
– Collecting sales data from multiple stores, aggregating it, and updating a dashboard for business insights

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