What Is ETI in AWS Data Engineering AWS Data Engineering is at the heart of how modern organizations manage and use data in the cloud. With digital transformation driving massive volumes of information, businesses rely on scalable platforms to process, move, and make sense of their data. Amazon Web Services (AWS) offers a full suite of services that data engineers use to build efficient, secure, and automated pipelines. At the center of these workflows is the concept of ETI, which stands for Extract, Transform, and Ingest. Whether you're building data lakes, preparing datasets for analytics, or enabling real-time reporting, understanding ETI is critical. It is one of the most foundational concepts in cloud-based data engineering. For professionals or students starting their journey, a solid grasp of ETI is essential, especially when enrolling in an AWS Data Analytics Training program that focuses on real-world scenarios. What Is ETI in AWS Data Engineering What ...
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