Data engineering teams have been around for several decades. Their role has been most recently extended from building data pipelines that only support traditional data warehouses to also building more technically demanding continuous data pipelines that feed today’s applications and leverage AI and ML algorithms. This document covers the most popular engines used to build these pipelines. It delineates the synergies between data engineering and data science teams.
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