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Analytics at Scale with Periscope Data

Scaling your data team requires planning ahead. Your tech stack will start simple, and grow in complexity as you support additional workflows and technologies. You'll need not just multiple warehouses, but multiple kinds of warehouses. And a system that helps you tradeoff the strengths and weaknesses of each backend technology.

And that's only half the story. The other half is the frontend of your analytics stack: your schema. There are many decisions to make, and many of the choices for each decision can be right. But being right isn't enough. With your schema, like any product's UX, consistency is the goal.

If you’re interested in learning more about analytics at scale, I gave a short presentation on that topic at the AWS Summit in Anaheim this year. You can watch that entire session in the video below.


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Tom O'Neill
Periscope Data was started in Tom's apartment, where he built the first version of the product in a weekend. He leads Periscope Data's engineering efforts, and holds the coveted customer-facing bugfix record. (10 minutes!)