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Let’s start by defining the data engineer’s role since it’s the most distinct one amongst the three. In any data-driven organization, data scientists and analysts need to have trusted, timely and efficient access to data to do their best work. This is where the data engineer comes in, as they are responsible for getting the right data in the right people’s hands. NCAA Clemson Tigers 3D Skull Custom Name Classic Cap. They create and maintain the infrastructure and data pipelines that take terabytes of raw data coming from different sources into one centralized location with clean, relevant data for the organization. For example, in the case of a ride-sharing application, a data engineer would extract raw data from the application database, transform it into analysis-ready data, and load it into a database to be used by data analysts and data scientists. The distinction between data analysts and data scientists is where it gets a bit murkier.
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