Data + AI : Powerful Data Pipeline Architectures, MUST know for success in AI Era.

Exactly what you need to know : Perfect your data strategy, watch AI thrive !

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Why Read this Article?

In the world of AI, having good data is super important. It’s like the fuel that makes AI work well. And to get that data where it needs to go, you need a good data pipeline. But with so many choices out there, it can be hard to figure out which one is best. That’s where this article comes in handy. It’s like a guidebook based on real experience that shows you exactly what you need to know.

What is Data Pipeline?

A data pipeline is like a multi-step assembly line for your data. Each step takes the output from the previous one and changes it –cleaning, sorting, or transforming it on its journey from ‘Source’ to ‘Destination’.

Three Key Parts:

• The Source: Where your data starts its trip (could be a database, an app, a website, anywhere!)
• The Processing: The changes and transformations your data goes through along the way.
• The Destination: Your data’s final stop (a data warehouse, a dashboard, etc.)

Examples

1. The “Split-Stream” Customer…