From the course: Intro to Snowflake for Devs, Data Scientists, Data Engineers
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Snowflake applications overview: Part 1 - Snowflake Tutorial
From the course: Intro to Snowflake for Devs, Data Scientists, Data Engineers
Snowflake applications overview: Part 1
- We've covered three of the four workloads we'll cover in this course DE, GenAI, and ML. Woo-hoo, now there's just one workload left on our agenda, applications. There's lots to talk about here, so let's get to it. So I think a necessary first step is for us to discuss what an application even is. This isn't a formal definition, but when we talk about an application, we're referring to a software product that can help thousands, millions, or even billions of end users do certain things like placing an order at a store, visualizing important data, sharing pictures and videos, and much more. Applications can be highly sophisticated pieces of software made up of many moving parts that are engineered and managed by lots of different teams. For example, it's quite common for there to be specific engineering teams dedicated to one, building the front end or user interface of the application. Two, building the logic that processes the end user's input and reads from and writes to the…
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