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 # Tweet Map with Trends
 
-1. Build a Tweet Collector to collect real-time tweets with Twitter Streaming API
-2. Push collected tweets to `kafka` cluster
-3. Utilize Flink Streaming processing to parse, filter and tranform tweets
-4. Ingest processed tweets to Elasticsearch for data persistance and index
-5. Develop SpringBoot RESTful API server to query tweets from Elasticsearch 
-6. Visualize real time tweet trends with Frontend Angular web application
-7. Show Geographical Tweet Heat Map with Kibana
-8. Create Docker image and deploy microservices to Kubernetes cluster
+1. Build a `java` Tweet Collector to collect real-time tweets with Twitter Streaming API
+2. Push collected tweets to `Kafka` cluster
+3. Utilize `Apache Flink` Streaming to process (parse, filter and tranform) tweets
+4. Ingest processed tweets to `Elasticsearch` for data persistance and index
+5. Develop `SpringBoot` `RESTful API server` to query tweets from Elasticsearch 
+6. Visualize real time tweet trends with Frontend `Angular` web application
+7. Show Geographical Tweet Heat Map with `Kibana`
+8. Create `Docker` image and deploy `microservices` to `Kubernetes` cluster
 
 ![](TweetMap-Architecture.png)