Streamlining ETL Processes: Moving Data from S3 to PostgreSQL with AWS Glue
In today’s extensive data landscape, efficiently moving and transforming data is critical for gaining actionable insights. Amazon Web Services (AWS) provides powerful tools for managing this process, with AWS Glue standing out as a serverless, fully managed Extract, Transform, Load (ETL) service. This guide walks you through setting up a seamless ETL pipeline from Amazon S3 to a PostgreSQL database on Amazon RDS, leveraging AWS Glue’s capabilities. Introduction: Addressing the Challenge of Data Movement in Big Data Environments Big data environments often involve vast amounts of unstructured and structured data stored across multiple sources. Moving this data efficiently from storage systems like Amazon S3 to a relational database like PostgreSQL can be challenging. The process typically requires setting up a secure and scalable pipeline to handle large datasets, automate the ETL process, and ensure data integrity. AWS Glue provides an excellent solution to these challenges, offering v...
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