ETL | AWS Glue | How to load S3 data to AWS Redshift

This tutorial will show you how to load data from amazon s3 to redshift and query the data using sql operations.
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AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. Learn more at amzn.to/2G8J5IG.
You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL.
AWS Glue generates the code to execute your ETL data transformations and data loading processes. The code is customizable, reusable, and portable. Once your ETL job is ready, you can schedule it to run on AWS Glue's fully managed, scale-out Apache Spark environment. AWS Glue provides a flexible scheduler with dependency resolution, job monitoring, and alerting.
#aws #redshift #s3

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