Post by Prateek Jalgaonkar

📝Automating Data Loads from S3 to Redshift Working with Amazon Redshift often means moving large amounts of data from S3. While the COPY command is great for manual loads, automation makes the process scalable. Here are 3 common approaches: 🛞AWS Glue – Best for ETL-heavy use cases with schema detection, transformations, and scheduled jobs. 🛞AWS Lambda – Ideal for event-driven pipelines, e.g., load data into Redshift as soon as a file lands in S3. 🛞Apache Airflow (MWAA) – Perfect for orchestrating complex workflows with dependencies and retries. ✅ Rule of Thumb: ✏️Use Glue when you need transformations. ✏️Use Lambda when you need real-time event-driven loads. ✏️Use Airflow when you need orchestration across multiple tasks. In short, each tool has its sweet spot — choose based on your use case and scale. #AWS #Redshift #DataEngineering #Cloud