Real-Time Data, Enabling Developers, and User Experience with DeVaris Brown

Open||Source||Data

English - May 11, 2022 14:45 - 39 minutes - 36.2 MB - ★★★★★ - 16 ratings
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Previous Episode: Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das

Next Episode: Apache Pinot and Real-Time Analytics with Neha Pawar

This episode features an interview with DeVaris Brown, CEO and Co-Founder of Meroxa. Meroxa was founded in 2020 and enables teams of any size and any expertise to build real-time data pipelines in minutes.

Previously, DeVaris was a product leader at Twitter, Heroku, and Zendesk. Sam and DeVaris even crossed paths at Microsoft in the aughts.

In this episode, Sam and DeVaris discuss enabling developers, real-time data, and providing the ultimate user experience.

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"From the beginning we wanted to be system engineer first, software engineer second, and we were happy to stand on the shoulders of giants that built foundational pieces of technology to help us get our job done more efficiently. [...] The one thing I love about my co-founder and he's super humble, Ali, we did billions of events a minute at Heroku on the data platform for tens of thousands of Kafka clusters for thousands of customers. But the team was six and he was a lead on that team. And we had five nines for years. Why? Because automation. And that's really what we built. [...] And so what we said was the experience will be our differentiator, but the components and the architecture which we run on, that can be standard. And that was a real big lesson that I learned at Heroku." – DeVaris Brown

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Episode Timestamps:

(05:47): What open source data means to DeVaris

(09:08): DeVaris’ inspiration for building a Heroku for data

(14:09): The open source underneath Meroxa

(20:06): What the Meroxa open source community looks like

(25:13): How will data engineering evolve over time?

(28:41): DeVaris breaks down real-time data

(33:40): Where does the name Meroxa come from?

(35:01): DeVaris’ advice for open source data folks

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