Fast, Open, On-Prem: StarRocks + Iceberg for AI and Real-Time Analytics скачать в хорошем качестве

Fast, Open, On-Prem: StarRocks + Iceberg for AI and Real-Time Analytics

During StarRocks Summit 2025, Brenna Buuck (Developer Evangelist) shared how to build a modern on-prem lakehouse stack with StarRocks and Apache Iceberg. 👉 Watch the recording to see how this design delivers real-time analytics and AI workloads without duplication, including: 📌 On-Prem Architecture — Combining StarRocks for ultra-fast queries, Apache Iceberg as the open table format, and S3-compatible storage for durability and scalability. 📌 Why On-Prem — Cost, performance, and security advantages of deploying entirely in a data center or colo. 📌 Lakehouse Integration — Serving Iceberg tables directly in StarRocks, managing multitenant metadata with catalogs, and optimizing for high concurrency and low latency. 📌 AI & Analytics Use Cases — Enabling feature serving, dashboards, embedded reporting, and developer-facing APIs—all in real time. About StarRocks Summit 2025: This was our first global summit, presented by CelerData — a one-day, free, virtual event that brought together thousands of engineers and practitioners from around the world. The day featured 25+ engineer-led sessions from teams at Coinbase, Intuit, Pinterest, Demandbase, TRM Labs, and more, all sharing real architectures, hard-earned lessons, and what worked in production across real-time analytics, the lakehouse, and AI. ---------------------------------------------------------------------------------------------------------------------- Timestamps 00:00 Intro 00:36 Why These Three — MinIO + Apache Iceberg + StarRocks: The Complete On-Prem Analytics Stack 02:29 Lakehouse Foundation — The Complete Data Cycle 04:54 Key Challenges for Cloud Data Lakehouses: Affordability at Scale; Data Control & Compliance 08:27 Why On-Prem Makes Sense 12:20 Why Believe Us — MinIO’s Unique Strengths 15:01 Performance and Scale — E3 Express API: Faster Metadata Operations Enable Sub-Second StarRocks Queries; Easy, Fast Linear Scaling 18:37 Real-World Lakehouse Deployment 19:48 Cost — The Future Runs on Standard Storage Hardware; Reference Table for Public Cloud Cost 22:56 Security — Why Air-Gapped Wins 26:11 Summary 27:57 Q&A ----------------------------------------------------------------------------------------------------------------------- Learn more at https://celerdata.com/ Connect with us: LinkedIn:   / celerdata   Twitter:   / celerdata   CelerData Website: https://celerdata.com/ StarRocks GitHub: https://github.com/StarRocks/StarRocks StarRocks Website: https://www.starrocks.io/ Slack: https://starrocks.io/redirecting-to-s... #DataAnalytics #DataEngineering #RealTimeAnalytics #StarRocksSummit2025 #RealTimeData #OLAP #DataAnalyst #DataEngineer #DataInfrastructure #userfacinganalytics #Database #AnalyticalDatabase