Netflix connects GraphQL, Avro, Iceberg, and more through a unified modeling layer backed by a knowledge graph. UDA makes schemas reusable, discoverable, and consistent across systems.
A fragile payment flow became a scalable, event-driven architecture using Kafka. One topic, many consumers, instant results.
Claude’s 24,000-token system prompt reads like a runtime spec, not guidance. Full of logic trees, fallback rules, and control layers that shape every response.
DuckLake pairs SQL metadata with object storage, turning DuckDB into a portable lakehouse. It’s cloud-agnostic, serverless-ready, and built for nomadic compute.
From database polling to event-time alerting, Nexthink explains how they rebuilt monitoring with Apache Flink on AWS.
Polaris now supports more parallel transactions with lower latency, thanks to a refactored JDBC-backed persistence layer.
Track every CDC event from source tables to Kafka topics with built-in lineage metadata. Great for auditability and pipeline observability.
Tributary lets you query Kafka topics from DuckDB using pure SQL. Ingest, analyze, or write back, ideal for streaming-first workflows.
Learn how to train and deploy small LLMs using Azure. A practical session packed with tooling, workflows, and use cases.
Behind the scenes of building and scaling an AI agent inside a fast-moving company. Lessons on infra, quality, and shipping fast.
A sharp, funny critique of today’s bloated lakehouse stacks that questions whether complexity has become the product. If you’ve ever wrangled Iceberg and wondered “why?”, read this.
A hands-on breakdown of how to design autonomous AI agents that plan, act, and learn. If you’re building beyond chat interfaces, this is a practical architectural guide.
Agent Bricks is a new framework for building, monitoring, and deploying RAG agents at scale. Integrated with Unity Catalog and MLflow for production-readiness.