Low-Code Streaming Pipelines With SQL

Streaming is no longer reserved for teams with deep Java expertise. Business and product teams want fresher metrics, operational triggers, and faster delivery cycles, and most transformation logic already starts life as SQL. Flink SQL makes that logic declarative, event-time aware, and production-ready. Ververica Platform takes it the rest of the way: from interactive query authoring to managed Deployments with savepoints, autoscaling, and governance built in. Developers develop business value. Infrastructure teams keep the lights on.

In this ebook, learn:

• How Flink SQL models streams as dynamic tables, and why that mental model matters
• The building blocks of low-code pipelines: connectors, watermarks, windows, and temporal joins
• Three production-proven patterns: clean and route events, real-time enrichment, and KPI aggregation pipelines
• The path from SQL editor to SQL Deployment, including stateful upgrades and savepoints
• How Autopilot autoscaling keeps pipelines backpressure-free while cutting costs
• Governance guardrails: namespaces, templates, UDFs, and artifact management for reusable pipelines
• A clear escalation path for when SQL is enough, and when to drop to Table API or DataStream
• An implementation checklist to launch your first use case