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Data & AI Weekly
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Building the Streamhouse: What the Ingestion Layer Actually Looks Like

Data & AI Weekly · Ep. 14
Weekly | Tuesday at 9AM PT
Building the Streamhouse: What the Ingestion Layer Actually Looks Like

Streamhouse. You've read about it in headlines and maybe heard it described on a podcast. But you have to run operations in the practical world. So what is a streamhouse exactly, how does it work, and how different is it from a classic data lakehouse architecture?

In this episode, Peter Corless sits down with Redpanda's Prakhar Garg to walk through the practical side of Redpanda's streamhouse architecture, starting with real-time data ingestion. Once data is in, it needs to flow quickly to its destination and be analyzed fast for the freshest insights. Prakhar focuses on pragmatics and practical, real-world examples.

Learn from these experts

Middle-aged man with gray beard and mustache wearing a tan shirt and striped tie against a dark background.
Peter Corless

Principal Product Marketing Manager • Redpanda

Smiling man wearing a blue and orange Mammut jacket and gray beanie with snowy mountains in the background.
Prakhar Garg

Senior Product Manager • Redpanda

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Rivian and Volkswagen Group Technologies
Activision
Akamai Technologies
Aquatic
Chess.com
Cisco Systems
Dun & Bradstreet
Fortis Games
LiveRamp
Moody's
Nanit
NYSE
Optimizely
Poolside
Sovrn
StoneX
Teads
Texas Instruments
The Hotels Network
Truecaller
Vodafone
Wunderkind
Zafin

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