# 🌊 Data in Motion: Streaming & CDC for AI & Agents
**Date de l'événement :** 24/06/2026
* Publié le 24/06/2026

### Date
24/06/2026

### Galerie d'image
![1.png](https://firebasestorage.googleapis.com/v0/b/memory-ai.appspot.com/o/prod%2FrKxsdSTpqCfzIFY8Y2hg%2FprojectsMedias%2Fgxgfbn12JSl8nRXPMQy0%2Fthumbs%2F1_1600x900.png?alt=media&token=f47b5f84-81f3-465b-a77a-d1c1be97d28f) 

### Ville
`#San Francisco` 

## Description
🌊 Data in Motion: Streaming & CDC for AI & Agents When: 🕠 5:30–8:00 PM (🍽️ dinner included) ⚡ Your agent is only as smart as its context. To achieve an enterprise-ready real-time data stack for agents, an organization needs to look at data movement end-to-end: 🔄 a stream that moves data from operational sources to analytical targets, 🗄️ a database that can ingest and serve that stream at the speed agents demand, and 🛡️ a way to govern the data as it lands. Join VeloDB, Redpanda, LaserData and Datastrato for a working session on building that streaming stack: 📥 ingesting at scale, ⏱️ moving data with low latency, 🔍 querying it the second it arrives, and 🛡️ governing it the moment it lands, so your agents always run on the freshest context. Three short talks, 🍲 dinner, and 🍻 conversation in SF! ✨ Speakers Real-Time Data Architecture for the Agentic Era 🎤 Peter Corless — Principal Product Marketing Manager, Redpanda Discover how enterprises are building enterprise-scale agentic AI applications. These real-time responsive systems require several components in their data architecture: event-driven data streaming, real-time analytics engines, and AI-centric application frameworks for governance, trust, and explainability. Closing the Governance Gap Between the Stream and the Lakehouse 🎤Mark Hoerth — Product Lead & Solutions Architect, Datastrato Streaming and analytics keep converging, but governance usually doesn't follow the data across the seam. A topic lives in one world with its own access model; the table it becomes lives in another. This talk shows how an open catalog can span both. Using Redpanda's broker-native Iceberg Topics to turn a live stream into an Apache Iceberg table with no ETL, and Apache Gravitino as the catalog of catalogs holding the topic and resulting table in a single metalake, we'll govern data the same way before and after it lands. The session ends with a live walk from produced records to a governed, queryable Iceberg table under one consistent policy. The takeaway: your governance boundary doesn't have to break where your streaming engine hands off to your lakehouse. Fast In, Fast Out: A Real-Time Analytics Stack with Apache Iggy (Incubating) and Apache Doris 🎤 Kranti, Founder and CEO, LaserData & Kevin Shen, PPM, VeloDB This talk pairs two open-source projects to build a real-time analytics stack covering both fast ingest and fast queries: Apache Iggy (incubating), LaserData's Rust message-streaming platform that moves high event volumes at very low latency, and Apache Doris (the database behind VeloDB), which serves sub-second queries on fresh data under heavy concurrency, updates, and joins. After a brief intro to each project, the session walks through a Rust-native Iggy sink connector that streams events directly into Doris with no JVM or intermediary systems, then closes with a live demo pushing a real workload through Iggy into Doris and running analytics as the data lands—leaving attendees with an understanding of why real-time analytics needs both halves, how the connector wires them together, and when and how to build the stack themselves. ⚠️ Important: Building Access Required This event is hosted at the AWS office. You must register at both links to attend: ✅ RSVP here on Luma ✅ Register for building access: AWS Event Registration

**Lien de l'évènement :** [https://luma.com/agc8cwc1](https://luma.com/agc8cwc1)

### Pays
`#United States` 

### Continent
`#North America` 

**Médias associés :**
[Média 1](https://80954c1d.sibforms.com/serve/MUIFABojU8UBbDiX_TdcGa7Wv5VMoVB_nBZ92mkLkGlS1pJLpP7s-pVJusyN-7cG9KPrSuv3fv7TmXwuw_AoyNUShR8jZhmNDgUbZPJO2V5xYXlNz4YXOTjSb8X7Lj7PRIPzgzEWlLbA4f4uw_F8RM51EUsjSfQQko0qaby98GHMdYJVWLIXd5JzzaXBGmqN2CcYOFuqnbnaYEnw) 

## event_id
evt-JrSVbeBEPKoBYeo@events.lu.ma

### Outils
`#Redpanda` 



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