One of the straightforward and quick cloud-based ETL tools is AWS Glue. It comes under the umbrella of AWS services. We use AWS Glue to …
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AWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL.
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One of the straightforward and quick cloud-based ETL tools is AWS Glue. It comes under the umbrella of AWS services. We use AWS Glue to analyze an extensive data set of USA based clinics and hospitals. Its HIPAA compliance for sensitive data. It comes with the support of python script, Schedular, and works very well with other AWS services like s3, rds.
- Very quick for ETL job.
- UI as well Command Interface with very few steps to create and schedule ETL Job.
- Sample Code is very basic and not available in most of the scenario.
AWS glue is best if your organization is dealing with large and sensitive data like medical record. Its comes with scheduler and easy deployment for AWS user. The data catalog keeps the reference of the data in a well-structured format. If you are already part of the AWS services, then AWS Glue is the best choice; otherwise, it's not a simple one for deployment.
Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.