subject: AWS Data Engineering [print this page] AWS Data Engineering involves designing, building, and managing scalable data pipelines and analytics solutions using Amazon Web Services (AWS). It helps organizations collect data from multiple sources, process it efficiently, and store it in optimized formats for analytics, reporting, and machine learning.
An AWS Data Engineer works with core AWS services such as Amazon S3 for data storage, AWS Glue for ETL and data cataloging, Amazon Redshift for data warehousing, Amazon EMR for big data processing, Amazon Athena for serverless querying, and Amazon Kinesis for real-time data streaming. At LearnSoft, AWS Data Engineering training focuses on hands-on labs and real-world use cases, covering data ingestion, ETL/ELT pipelines, data modeling, performance optimization, security, and monitoring. This course is ideal for data analysts, software engineers, and cloud professionals looking to build a career in cloud data engineering and prepare for AWS data-related certifications.
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