Data Moderanization - P360
Business Opportunity
The current approach for the p360 is using kafka topics to stream the data in which have a time period of 36 months. This approach comes with a huge cost. Creating the framework for data analytics and metrics services to simplify the existing process- P360
Link to Canvas Dashboard :Data Moderanization - P360
Solution / Approach
Using databricks and delta tables as the processing mechanism of the reference topics and the claims highway topic and further calculating the metrics and storing them in a database which can be exposed using an api can reduce the cost drastically in comparison to the existing approach.
Architecture
Key Metrics
- Cost savings: This measures the cost savings achieved by new process flow, helping organizations to optimize their resources.
- Scalability: This measures the ability of the solution to scale up or down based on demand, ensuring that it can meet the needs of small, medium, or large organizations.
- Integration: This measure the ability of the new flow to be integrated with some components of the old flow.
- Reusability: It measures the ability of the components of the new flow to reused easily for expansion of the process.
Tech Stack
- Python
- Azure Cosmos
- Azure Databricks
- Delta tables
- Azure web app
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