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What is Data Engineering?
Data engineering is the practice of designing and building systems for the aggregation, storage and analysis of data at scale. Data engineers excel at creating and deploying algorithms, data pipelines and workflows that sort raw data into ready-to-use datasets. Data engineering is an integral component of the modern data platform and makes it possible for businesses to analyze and apply the data they receive, regardless of the data source or format.
Visit the following resources to learn more: