Philly ETE 2021 — Some Like It Hot: Choosing a System for Large-Scale Data Analysis — Gian Merlino

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There are no shortage of systems that claim to help with analysis of large amounts of data. Under the hood, today’s popular systems have a variety of interesting and unique architectures.

As the classic film “Some Like It Hot” famously ends: “Nobody’s Perfect.” In this talk, we’ll reflect on why you can never seem to find that single perfect system, how to think about capabilities of different systems on a spectrum, and what it might take to truly have it all.

About Gian Merlino

Gian Merlino is a co-founder and CTO at Imply, a San Francisco-based technology startup that provides a real-time analytics platform based on Apache Druid. Gian is also a committer and the PMC Chair on the Apache Druid project. Previously, Gian led the data ingestion team at Metamarkets (now a part of Snapchat) and held senior engineering positions at Yahoo. He holds a BS in Computer Science from Caltech.

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