181: OLAP Engines and the Next Generation of Business Intelligence with Mike Driscoll of Rill Data
This week on The Data Stack Show, Eric and Kostas chat with Mike Driscoll, the CEO of Rill Data. During the episode, Mike recounts his journey from the Human Genome Project to developing the Druid engine, which was created to handle massive advertising data. He discusses Druid's adoption by major companies and its evolution, emphasizing the importance of speed, simplicity, and scalability in data tools. The dialogue covers the progression of BI tools, the role of object stores, and the integration of AI in data technology. Mike also touches on the significance of SQL and AI's influence on data visualization, what he would do if he wasn’t working in data, and more.
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Show Notes
Highlights from this week’s conversation include:
- Michael’s background and journey in data (0:33)
- The origin story of Druid (2:39)
- Experiences and growth in Data (8:08)
- Druid's evolution (21:46)
- Druid's architectural decisions (26:32)
- The user experience (30:06)
- The developer experience (35:14)
- The evolution of BI tools (40:55)
- Data architecture and integration (47:53)
- AI's impact on BI (52:26)
- What would Mike be doing if he didn’t work in data? (56:27)
- Final thoughts and takeaways (57:02)
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
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