Update README.md

Author: sungchun12

README.md

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 # schedule-python-script-using-Google-Cloud
-Schedules a Python script to append data into Bigquery using Google Cloud's App Engine with a cron job
+Use Case: Automates live Chicago traffic data and flows it into Bigquery for interactive real-time analysis
+Technical Concept: Schedules a Python script to append data into Bigquery using Google Cloud's App Engine with a cron job.
+
+Reference: http://zablo.net/blog/post/python-apache-beam-google-dataflow-cron
+
+Shout out to Mylin Ackerman for all his help. Saved me weeks of research with his personal touch.
+https://www.linkedin.com/in/mylin-ackermann-25a00445/
+
+Order of Operations
+1. Develop scripts with Google cloud shell or SDK
+2. Deploy on appengine
+3. Deploy cron job
+4. Check BigQuery
+5. Connect with dataviz tool such as Tableau
+
+Specific Instructions:
+1. Copy github repository into SDK or Google cloud shell(thankfully it has persistent storage, so you don't have to recopy the folder structure)
+2. 
+
+
+
+Document Context:
+1. app.yaml contains definition of App Engine app, which will spawn Dataflow pipeline
+2. cron.yaml contains definition of App Engine CRON, which will ping one of the App endpoints (in order to spawn Dataflow pipeline)
+3. appengine_config.py adds dependencies to locally installed packages (from lib folder)