
LinkedIn's Data-Driven Approach with Raghu Hiremagalur, CTO at LinkedIn
Modern CTO
How to Make a Big Push on ML or AI Infrastructure
Joel: The most important thing in making progress on that Joel is to have an outside and perspective. What does your customer trying to do? I'll give you an example. Let's say if I want some sort of an insight using some sorts of data that LinkedIn has and we use Pino, which is an OLAP system That's the system we use to serve up such insights. Ensuring that this piece of insight makes its way into this system called Pino. It should be a couple double clicks into some sort of in some data catalog system. And everything that is required for that insight to come to life should be automated. Data should start flowing through from the source of truth
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