What is Apache Pinot? (and User-Facing Analytics) | A StarTree Lightboard by Tim Berglund

There is an increasing need to unleash analytical capabilities directly to the end users to democratize decision making. This, or “User-Facing Analytics,” is a new frontier that will shape the products of tomorrow and push the limits of existing technology. It demands a solution that will scale to millions of users to provide fast, real time insights. This was the primary motivation behind Apache Pinot and is currently being used by big data companies such as LinkedIn, Uber, Stripe, and Walmart to power rich user-facing analytical applications. With StarTree, our mission is to enable companies of all sizes to be able to build such use cases on top of Apache Pinot effortlessly, in a cost-effective manner.

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CHAPTERS
0:00 Historical Perspective
1:55 Uber Eats Example
2:22 Latency, Freshness, Concurrency
5:20 Enter Apache Pinot
7:00 Value of a Database
8:15 Exposing Data to Users
9:23 Benefits of Pinot
10:40 Conclusion

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ABOUT STARTREE
When you hear “decision maker,” it's natural to think, “C-suite,” or “executive.” But these days, we’re all decision-makers. So, yes, the CEO is a crucial decider, but the franchise owner, the student, or the big box shopper all have important choices to make, too. The difference is, those traditional decision-makers have access to relevant data to guide their thinking. All the others? Flying blind.

Our vision is to change that. We believe every decision-maker should have access to fast, fresh, actionable insights. We’re motivated to unlock what’s possible when you put the right information in the right hands at the right time. Like the restaurant owner who’s able to call in an extra cook because she can see the surge in orders coming. Or the holiday shopper who has plenty of time to pick a different gift for his loved one because he sees his original order is delayed at the moment the supplier registers a procurement delay. Or the use-case we can’t even envision yet, because it is sitting in your data, waiting to be set free.

Exposing timely information to real decision makers in intuitive apps that not only inform, but allow you to act on the information being shared. That’s how we’re unleashing the power of user-facing analytics.

#apachepinot #realtimeanalytics #startree

[ScottsMTB]

Yah Tim's a legend, someone I was able to work with not too long ago. I watch all his videos, no matter the topic because he's amazing. Built for this! :)

[ThrdCardofDeath]

Thanks Tim. True Master of taking very complicated concepts and making them easy to understand.

[MrRandomg]

Great to see Tim back, the confluent videos are no longer the same without you, as always so informative and you make these complicated concepts so simple

[ronyarmon]

Thanks Tim, Great explanation, connecting the art of indexing at the back end with user experience up front.

[sweepstakes]

What a video, short yet very informative!

[swyxTV]

incredible explanation, please go into deeper detail about design choices and tradeoffs! thank you

[JoveZhong]

Cool video. I am also wondering how this is shot? Is that a special whiteboard to reverse the handwriting?

[Manelon]

I don't understand. Sorry. If you can do analytics with Kafka streams or something similar and sink the data to a database.
So I can have fresh data and fast access.
I am sure I am missing something

[anibaldk]

Unnecessarily verbose...7 minutes in and still does not get to the point.