https://github.com/danitilahun/aws-data-engineering-project

In this AWS Data Engineering project, we delve into the intricacies of building a robust real-time data pipeline using DynamoDB, Snowflake, and AWS Lambda.
https://github.com/danitilahun/aws-data-engineering-project

aws aws-lambda data-engineering-pipeline dynamodb real-time snowflake

Last synced: 26 days ago
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In this AWS Data Engineering project, we delve into the intricacies of building a robust real-time data pipeline using DynamoDB, Snowflake, and AWS Lambda.

• Host: GitHub
• URL: https://github.com/danitilahun/aws-data-engineering-project
• Owner: Danitilahun
• Created: 2023-12-22T15:14:07.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-15T22:41:55.000Z (about 2 months ago)
• Last Synced: 2025-04-15T23:26:56.159Z (about 2 months ago)
• Topics: aws, aws-lambda, data-engineering-pipeline, dynamodb, real-time, snowflake
• Language: Python
• Homepage:
• Size: 3.91 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Engineering Project

In this AWS Data Engineering project, we delve into the intricacies of building a robust real-time data pipeline using DynamoDB, Snowflake, and AWS Lambda.

1. **Introduction to DynamoDB and Snowflake Integration:**

   Explore the fundamentals of DynamoDB and Snowflake, understanding their unique strengths and how they seamlessly integrate to form a powerful data ecosystem.

2. **Leveraging AWS Lambda Functions:**

   Witness the dynamic capabilities of AWS Lambda as we demonstrate its role in orchestrating the real-time flow of data. Learn how to design Lambda functions that efficiently process and transmit data.

3. **Ingesting Real-Time Data from a Weather API:**

   Step into the world of real-time data by integrating a weather API. Follow along as we guide you through the process of ingesting this data into DynamoDB, setting the stage for the next level of data processing.

4. **Seamless Transmission to Snowflake using Snowpipe:**

   Experience the magic of Snowpipe as we showcase its role in seamlessly transmitting data from DynamoDB to Snowflake in real-time. Learn how to optimize this process for maximum efficiency.

5. **Optimizing and Scaling the Data Pipeline:**

   Delve into best practices for optimizing and scaling your data pipeline. Explore strategies to enhance performance, ensure data integrity, and accommodate the evolving needs of your projects.

6. **Troubleshooting and Best Practices:**

   Equip yourself with troubleshooting skills and industry best practices to overcome common challenges in real-world scenarios. Learn how to ensure the reliability and resilience of your data pipeline.

7. **Advanced Concepts and Future Trends:**

   Explore advanced concepts and emerging trends in AWS Data Engineering. Stay ahead of the curve by understanding the latest technologies and their potential impact on data engineering practices.