Update background.md

Author: pareenaverma

content/learning-paths/servers-and-cloud-computing/flink-on-gcp/background.md

@@ -16,10 +16,10 @@ To learn more about Google Axion, refer to the [Introducing Google Axion Process
 
 ## Apache Flink
 
-[Apache Flink](https://flink.apache.org/) is an open-source, distributed **stream and batch data processing framework** developed under the [Apache Software Foundation](https://www.apache.org/).
+[Apache Flink](https://flink.apache.org/) is an open-source, distributed stream and batch data processing framework** developed under the [Apache Software Foundation](https://www.apache.org/).
 
-Flink is designed for **high-performance, low-latency, and stateful computations** on both unbounded (streaming) and bounded (batch) data. It provides a robust runtime and APIs in **Java**, **Scala**, and **Python** for building scalable, fault-tolerant data processing pipelines.
+Flink is designed for high-performance, low-latency, and stateful computations on both unbounded (streaming) and bounded (batch) data. It provides a robust runtime and APIs in Java, Scala, and Python for building scalable, fault-tolerant data processing pipelines.
 
-Flink is widely used for **real-time analytics**, **event-driven applications**, **data pipelines**, and **machine learning workloads**. It integrates seamlessly with popular systems such as **Apache Kafka**, **Hadoop**, and various **cloud storage services**.
+Flink is widely used for real-time analytics, event-driven applications, data pipelines, and machine learning workloads. It integrates seamlessly with popular systems such as Apache Kafka, Hadoop, and various cloud storage services.
 
 To learn more, visit the [Apache Flink official website](https://flink.apache.org/) and explore the [documentation](https://nightlies.apache.org/flink/flink-docs-release-2.1/).