What Are ETL Best Practices for AWS Data Engineers
In AWS data engineering, Extract, Transform, and Load (ETL) processes are pivotal, as they allow you to prepare raw data sets for analytical purposes. This blog provides a detailed exploration of data engineering best practices specifically geared toward optimising ETL workflows, enhanced with relevant keywords and concepts for AWS Certified Data Engineer Associate Certification (DEA-C01). The ETL Process ETL is the combination of data from multiple sources into a large central repository called a data warehouse. It uses a set of business rules to clean and organise and prepare raw data for such activities as storage, analytics, and machine learning […]
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