Advanced NoSQL for Data Science

Introduction

• Welcome
• What you should know
• Exercise files

1. Why NoSQL?

• The limits of relational databases
• Types of NoSQL databases
• Advantages of NoSQL databases
• Performing data science tasks with NoSQL

2. Perform Common Data Science Tasks with NoSQL Databases

• Preparing data
• Exploring data
• Building models
• Applying models

3. Document Databases for Data Science

• Document data models
• JSON structures
• Prepare data with document databases
• Install Anaconda
• Install MongoDB
• Working with Jupyter
• Explore data with document databases
• Extract data with document databases
• Perform quality checks
• Index data with document databases
• Data frames in MongoDB
• Tips for using document databases for data science

4. Wide-Column Databases for Data Science

• Wide-column data models
• Prepare data with wide-column databases
• Install the Java Development Kit
• Install Cassandra
• Prepare data for Cassandra
• Load data into Cassandra
• Cassandra and Spark
• Tips for using wide-column databases for data science

5. Graph Databases for Data Science

• Graph data models
• Key graphi concepts
• Prepare data with graph databases
• Install Neo4j
• Explore data with graph databases
• Extract data with graph databases
• Tips for using graph databases for data science

Conclusion

• Next Steps