Data Science Pipelines

Data Science (DS) is a broad area that brings together computational understanding, inferential thinking, and the knowledge of the application area.

DS includes a broad set of traditional disciplines such as data management, data infrastructure building, data-intensive algorithm development, AI (machine learning and deep learning), etc., that covers both the fundamental and practical perspectives from computer science, mathematics, statistics, and domain-specific knowledge

By data science pipeline (DS pipeline), we are referring to a series of processing stages that interact with data, usually acquisition, management, analysis, and reasoning.

The sequential DS stages from acquisition, to cleaning/curation, to modeling, and so on are referred to as data science pipeline.

Below are the key stages and activities involved in this pipelines