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Title:Top AWS Services A Data Engineer Should Know
Duration:13:11
Viewed:147,330
Published:17-01-2022
Source:Youtube

This is a high-level overview that the top services on AWS a data engineer should know in order to solve their data engineering challenges. I explain it by using an example of integrating 2 different data sources to create a central data repository to enable our hypothetical analytics team to perform their own self-service analytics. This video is broken down into Data Ingestion, Data Lake, Transformation, Data Warehouse, Data Analytics, Application Integration, Data Pipeline Orchestration, and Monitoring. Timeline 00:00 Introduction 01:05 Data Ingestion 04:24 Storage - S3 05:10 Transformation 05:47 Data Catalog 06:44 Data Warehouse 07:13 Data Analytics 09:08 Application Integration 10:28 Orchestration 11:57 Monitoring buy me a coffee: https://www.buymeacoffee.com/dataengu useful links: AWS Serverless Data Lake Architecture: https://youtu.be/qo3visql70M Optimize Data Lake: https://youtu.be/9Mm5l-l9OPo SNS vs SQS: https://www.youtube.com/watch?v=mXk0MNjlO7A #AWS #dataengineering



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