PYData LA: When Rotten Tomatoes Isn't Enough Tutorial

In this tutorial, we’ll use sentiment analysis on Twitter data about the latest movie titles to answer that age old question: “Is that movie any good?” We’ll show how we built the solution using Apache Cassandra, Apache Spark, DataStax Enterprise Analytics, Python and Jupyter notebooks. This is a great tutorial to attend if you are new to big data or want to learn more about Cassandra and Spark!

Install Docker

Download DataStax Docker Image

Open Jupyter

Install Docker

• Download correct Docker Community Edition: https://store.docker.com/search?type=edition&offering=community
• Create Log In to Download
• Download Docker

Change Memory For Docker

• Allow for 5 GB of Memory per container
• Docker -> Preferences -> Advanced -> Memory

Download DSE/Jupyter Image

• cd YourDownloadPath/pydata
• docker-compose up -d (Should take 6 minutes but will also start DataStax Enterprise, Spark, and Juypter)

Open Jupyter

• Once download and start is complete
• Login with token that is in Jupyter logs
• docker logs pydata_jupyter_1

* Example: http://127.0.0.1:8889/?token=dcd21bc3a1c1331c6c61d51fb5a9d64c72fca7f4b2a6000e * Navigate to notebooks directory!! * Open When Rotten Tomatoes isn’t Enough CSV.ipynb