Talweg
· Talweg AI · Agentic AI
What "Practical" Agentic AI Actually Means for Enterprise Data
Moving past the hype of chatbots to autonomous, stream-driven data agents.
The Blog
Discover case studies, guides, and updates on state-of-the-art Real-time Data processing using Flinkflow.
· Talweg Team · ArchitectureThe Future of the Modern Data Stack: Where Real-Time AI Fits In
A look at how tools like Apache Flink and declarative stream processing are reshaping modern data architectures, bringing real-time AI into the mainstream.
· Talweg Team · CybersecurityBeyond Log Enrichment: Next-Generation SIEMs Built on FlinkFlow
Explore how real-time stream processing with FlinkFlow is shifting Security Information and Event Management (SIEM) systems from reactive historical analysis to proactive, instant threat mitigation.
· Talweg Team · TutorialsReal-Time Fraud Detection for Financial Services with FlinkFlow & Flink SQL
Discover how to build a real-time fraud detection system using Flink SQL and Flinkflow. Learn to process high-velocity financial transactions, calculate rolling windows, and trigger instant alerts to prevent fraud before it happens.
· Talweg Team · TutorialsPowering Real-Time AI with SQL: Declarative Feature Engineering & Inference
AI models are only as good as the context you feed them. Learn how to use Flink SQL inside Flinkflow to build real-time feature stores, calculate rolling aggregations, and feed context-rich data into LLMs.
- · Talweg Team · Announcements
Announcing Native Flink SQL Support in Flinkflow
Flinkflow now supports Flink SQL as a first-class step type. Define schemas, write SQL queries, perform windowed aggregations, and join multiple streams — all from your YAML pipeline.
