A practical guide to leveraging AWS Lambda, Kinesis, and DynamoDB for real-time insights
Table of Contents
∘ Introduction
∘ Data
∘ Proposed Workflow
∘ AWS Cloud Components
∘ Collecting the Data (Lambda Function 1)
∘ Writing the Data to the Table (Lambda Function 2)
∘ Converting the data in CSV format (Lambda Function 3)
∘ The Final AWS Cloud Solution
∘ Visualizing the Data (Bonus)
∘ Advantages
∘ Limitations
∘ Conclusion
Introduction
A couple of months ago, I worked on a project in which I built a solar energy forecasting model aimed at aiding Germany’s transition to clean energy. The results were promising, but the model’s performance was limited by a crucial factor: the lack of weather data, which is a strong indicator of available solar energy.
The experience underscored a key lesson — real-time data is essential for practical forecasting models…