Use the data engineering lifecycle to design and build a robust architecture. Cut through marketing hype when choosing data technologies, architecture, and processes. Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.
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