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AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all of the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months. AWS… Continue reading Some use cases for using AWS Glue
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Migrating from on Premise solution to AWS Glue When you run AWS Glue, there are no servers or other infrastructure to manage. Pay only for the resources used while running the jobs and the metadata that is stored. If your organization is already invested in Informatica or Datastage, Talend, etc., it may be easy for… Continue reading Overview of AWS Glue
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ETL consists of Extraction, Transformation and Load Extraction The process of retrieving data from one or more sources – CRM, ERP, operational systems, legacy data, social media data, data from third party, etc. Transformation The process of mapping, reformatting, conforming, adding meaning and more to prepare the data in a way that it is more… Continue reading Traditional ETL vs AWS Glue
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Introduction Traditional ETL vs AWS Glue Overview of AWS Glue Demo: Creating a ETL solution using AWS Some use cases for using AWS Glue Summary What to read next? Overview of AWS Glue Traditional ETL vs AWS Glue Some use cases for using AWS Glue
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The popular twelve-factor app is a methodology for building software-as-a-service apps. Let us first quickly describe what the twelve factor app methodology is. Next, let us see how this can be implemented in public cloud providers AWS and Google Cloud. Reference: The Twelve-Factor App (12factor.net) I. Codebase One codebase tracked in revision control, many deploys… Continue reading Twelve-Factor App Methodology on the Public Cloud
