Update README.md

Author: pavankjadda

README.md

@@ -3,7 +3,7 @@
 ## Introduction
 Kafka helps you to build fast, high through put, fault tolerance, scalable microservices and applications. Kafka Streams stores data in Kafka Clusters (Kafka State Stores) and gets data wicket fast. 
 
-This repository demonstrates [CQRS](https://www.confluent.io/blog/event-sourcing-cqrs-stream-processing-apache-kafka-whats-connection/) Event Sourcing (Materialized views) with Kafka Streaming ([Version: 2.1.0](https://archive.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html)). \
+This repository demonstrates [CQRS](https://www.confluent.io/blog/event-sourcing-cqrs-stream-processing-apache-kafka-whats-connection/) Event Sourcing (Materialized views) with Kafka Streaming ([Version: 2.1.0](https://archive.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html))
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 1. In typical production environment, we have multiple microservices and we want to perform multiphase commit to each microservice databases. 
 2. Let's say if you user wants place an order in eShopping application, we have different microservices do the following operations (mentioned high level tasks)