rajasekhar790 / html-portfolio

html-portfolio

html-portfolio's Issues

Code

To upgrade the POC and complete the data migration and processing workflow, you can follow these steps:

1. Set Up Snowflake Access: Ensure that you have access to Snowflake and the necessary permissions to read and write data.

2. Prepare Airflow DAG: Create an Airflow Directed Acyclic Graph (DAG) to orchestrate the data pipeline. Define tasks to:

   • Start the EMR cluster.
   • Execute the Python code on the EMR cluster to process data.
   • Shut down the EMR cluster once processing is complete.
   • Use Airflow operators to interact with Snowflake, such as SnowflakeOperator, to read from and write to Snowflake.

3. Define EMR Cluster Configuration: Specify the EMR cluster configuration, including instance types, applications, and bootstrap actions, in your Airflow DAG.

4. Write Python Code for EMR Processing: Develop Python code to be executed on the EMR cluster. This code should:

   • Read data from Snowflake using Snowflake Connector for Python.
   • Perform required data transformations and processing.
   • Push the processed data back to Snowflake.

5. Test the Data Pipeline: Validate the data pipeline by running the Airflow DAG in a test environment. Ensure that data is migrated from Snowflake to EMR, processed correctly, and then pushed back to Snowflake as expected.

6. Optimize and Scale: Fine-tune the data pipeline for performance and scalability. Consider optimizations such as parallel processing, optimizing SQL queries, and utilizing EMR features like spot instances for cost savings.

7. Monitoring and Error Handling: Implement monitoring and error handling mechanisms in Airflow to track pipeline execution and handle failures gracefully. Set up alerts for any issues encountered during pipeline execution.

8. Documentation and Knowledge Sharing: Document the data pipeline architecture, configuration, and processes. Share knowledge with team members to ensure understanding and facilitate future maintenance and enhancements.

By following these steps, you can upgrade the POC to a robust data migration and processing solution that efficiently reads data from Snowflake, processes it on an EMR cluster, and pushes the results back to Snowflake using Airflow for orchestration.