Update 1.11.0 to 1.11
diff --git a/_posts/2020-07-28-flink-sql-demo-building-e2e-streaming-application.md b/_posts/2020-07-28-flink-sql-demo-building-e2e-streaming-application.md
index bc5bac0..0c935c2 100644
--- a/_posts/2020-07-28-flink-sql-demo-building-e2e-streaming-application.md
+++ b/_posts/2020-07-28-flink-sql-demo-building-e2e-streaming-application.md
@@ -9,7 +9,7 @@
excerpt: Apache Flink 1.11 has released many exciting new features, including many developments in Flink SQL which is evolving at a fast pace. This article takes a closer look at how to quickly build streaming applications with Flink SQL from a practical point of view.
---
-Apache Flink 1.11.0 has released many exciting new features, including many developments in Flink SQL which is evolving at a fast pace. This article takes a closer look at how to quickly build streaming applications with Flink SQL from a practical point of view.
+Apache Flink 1.11 has released many exciting new features, including many developments in Flink SQL which is evolving at a fast pace. This article takes a closer look at how to quickly build streaming applications with Flink SQL from a practical point of view.
In the following sections, we describe how to integrate Kafka, MySQL, Elasticsearch, and Kibana with Flink SQL to analyze e-commerce user behavior in real-time. All exercises in this blogpost are performed in the Flink SQL CLI, and the entire process uses standard SQL syntax, without a single line of Java/Scala code or IDE installation. The final result of this demo is shown in the following figure:
