The second part of this blog series focuses on setting up DataStax Enterprise Analytics with Apache Cassandra™ and Apache Spark™, Jupyter Notebooks, and all the required Python package dependencies using Docker. This process automates the task of asking a large number of people for movie recommendations. By utilizing Big Data technologies such as DataStax Enterprise Analytics, Apache Spark Machine Learning Libraries, Twitter Developer API, Pandas, and others, users can explore data science concepts and customize their analysis. The third part of this series will delve into each cell in the Jupyter notebook. For more information on deploying DSE Docker containers, refer to Kathryn Erickson's blog post.