Lake Formation

How to Use AWS Glue for Aurora PostgreSQL Data Transformation and Redshift Optimization Techniques

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Migrating data from Amazon Aurora to Amazon Redshift requires effective strategies to transform and optimise data for analytics processing. AWS Glue, a fully managed extract, transform, and load (ETL) service, facilitates this process by preparing and loading your data for analytics. By understanding how to configure Aurora PostgreSQL as a source and effectively design ETL …

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How to Use AWS Lake Formation Blueprints for Efficient Data Ingestion from Aurora PostgreSQL to Redshift

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When managing large volumes of data, efficient ingestion processes become pivotal for businesses leveraging cloud platforms. AWS Lake Formation simplifies this by providing blueprints, which are predefined templates for common data loading tasks. If you’re working with Aurora PostgreSQL and need to move data to Redshift, using Lake Formation blueprints can streamline the process. Understanding …

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