Best Practices for Designing Pipelines for Real-Time Data Integration?

[mukeshxseo]

Hi SnapLogic community,

I’m relatively new to SnapLogic and working on designing pipelines for a real-time data integration use case. The goal is to process incoming API data and feed it into our data warehouse with minimal latency. I want to ensure scalability, performance optimization, and error handling throughout the process.

Specifically, I’d like advice on the following:

1. What are the best practices for structuring pipelines for real-time data?
2. How can I optimize performance when working with high-velocity data sources?
3. Are there specific Snaps or pipeline patterns that work well for error handling in real-time scenarios?
4. Any tips for monitoring and debugging real-time pipelines efficiently?

I'd appreciate it if you could share any resources, templates, or success stories that could guide me in building an efficient solution.

Thanks in advance for your insights!