Data Pipeline

Definition of Data Pipeline

A series of data processing steps that collect, process, and store data.

Explanation of Data Pipeline

A data pipeline is a series of processes that move data from various sources to a destination, such as a data warehouse or analytics platform. This pipeline involves steps such as data extraction, transformation, and loading (ETL) to ensure that data is collected, cleaned, and prepared for analysis. Data pipelines are essential for managing large volumes of data and enabling real-time or batch processing. By automating data workflows, pipelines help ensure data accuracy, consistency, and accessibility. Effective data pipeline management requires robust tools and technologies, along with careful planning and monitoring to address potential issues and optimize performance.

This dictionary entry was written by

Per-Gulbrand Peter Braathen

With a foundation in doctoral-level research, Per-Gulbrand Peter Braathen is a seasoned expert in the areas of marketing, branding and communication. His proficiency extends to marketing management, branding and communication strategy. Braathen's experience is underscored by his rich background from various industries, including entertainment. A distinguished alumnus of the USC Marshall School of Business, Braathen boasts a Master of Science in Marketing, complemented by a Graduate Certificate in the Business of Entertainment from the USC School of Cinematic Arts as well as two undergraduate Bachelor degrees from the esteemed University of Southern California.