An introduction to a scalable ETL pipeline using Bonobo, EC2, and RDS
Extract, Transform, and Load (ETL) pipelines play a crucial role in data processing, enabling organizations to move data from multiple sources, process it, and load it into a data warehouse or other target system for analysis. However, as data volumes grow, so does the need for scalable ETL pipelines that can handle large amounts of data efficiently.
Amazon EC2 is a cloud service that provides virtual computing resources on-demand, offering a scalable and reliable platform to run various types of applications, including web servers, databases, and machine learning models. Amazon RDS is a fully managed relational database service that can be flexibly managed in the cloud, providing a scalable and reliable platform to run large database workloads.
When combined with an ETL-specific Python module such as Bonobo, Amazon EC2 and RDS can be leveraged to create an easily scalable data pipeline. This approach enables...
