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Scalable ETL pipeline for Google Merchant XML Feed and RDS with AWS Glue
- AWS Glue offers a serverless and highly scalable ETL service that simplifies the process of handling and transforming large, structured XML data like Google Merchant product catalogues.
- With AWS Glue Crawlers, automating schema detection and transforming data while importing it from an S3 source and loading it into an RDS target database becomes easy.
- To get started, store the XML product feed in an S3 bucket and use Glue Crawlers to automatically detect the XML schema. Configure a crawler to detect schema in the RDS instance.
- Using Glue Jobs, create processes for importing both product categories and the products themselves, allowing for custom transformations and schema mapping.
- AWS Glue handles large XML files efficiently and scales ETL resources automatically, while Glue Crawlers can detect and adapt to XML schema changes, making future imports simpler.
- Jobs can be scheduled based on your data refresh needs, providing a robust and automated data pipeline. AWS Glue is easy to use, even for non-developers.
- Testing shows AWS Glue can import 50,000 products in just two minutes using a minimal setup of AWS Glue and a minimal-sized RDS DB, indicating high performance with minimal resource consumption.
- Overall, AWS Glue offers a reliable, scalable solution for integrating Google Merchant Feed into an RDS database, streamlining the ETL pipeline with minimal manual intervention.
- The benefits of AWS Glue for XML product feed integration include scalability, automated job scheduling, and ease of use not only for developers, but for business analysts, data scientists, and product managers.
- With AWS Glue, schema detection, data transformation, and job scheduling become relatively easy, allowing for seamless Google Merchant Feed integration into an RDS database.
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