To Nha | Nov. 18, 2024, 11:32 a.m.
To Nha | Nov. 16, 2024, 7:01 p.m.
To Nha | Nov. 14, 2024, 2:59 p.m.
Data engineering is the development, implementation, and maintenance of systems and processes that take in raw data and produce high-quality, consistent information that supports downstream use cases, such as analysis and machine learning. Data engineering is the intersection of security, data management, DataOps, data architecture, orchestration, and software engineering.
Joe Reis and Matt Housley, Fundamentals of Data Engineering (O’Reilly, 2022)
Data engineering is all about the movement, manipulation, and management of data.
Lewis Gavin, What Is Data Engineering? (O’Reilly 2019)
Data engineering is the process of designing and building systems that let people collect and analyze raw data from multiple sources and formats. These systems empower people to find practical applications of the data, which businesses can use to thrive.