What is data pipeline: A comprehensive guide

A data pipeline is a set of processes that extract, transform, and load data from various sources into a designated storage location. It enables efficient movement of data between systems and ensures accuracy and consistency. Data pipelines are used for purposes such as data integration, warehousing, and analysis. They can automate data processing tasks, freeing up time and resources for other activities. Different types of data pipelines include batch processing, real-time processing, and hybrid processing. Challenges in building and maintaining data pipelines include data quality issues, technical complexity, scalability, and security concerns.