AWS Data Engineering Course

Introduction Modern businesses collect large amounts of data every day. This data comes from applications, websites, databases, and cloud services. To make this data useful, organizations need a process that can collect, transform, and analyse it efficiently. An ETL Pipeline AWS solution helps move data from different sources into a format that is ready for reporting and analytics. Many learners who join an AWS Data Engineering Online Course in India start by understanding ETL pipelines because they are a key part of modern data platforms. How to Build an ETL Pipeline Using AWS Glue and Athena? Understanding ETL Pipelines ETL stands for Extract, Transform, and Load. Extract Collect data from different sources. Read data from databases, files, APIs, or applications. Transform Clean incorrect values. Remove duplicates. Standardize formats. Apply business rules. Load Store processed data in a target location. Make data available for reporting and analytics. An ETL pipeline automates the...