The document discusses stream analytics using SQL on Apache Flink, emphasizing its capabilities for low latency, high throughput, and exactly-once state guarantees. It introduces the concept of dynamic tables, which change over time and can be queried with standard SQL, offering a unified API for both batch and streaming data. Additionally, it highlights the current state of SQL support in Flink, ongoing development efforts, and the potential use cases for SQL in stream processing.