Advanced NoSQL for Data Science

Explore the fundamentals of NoSQL. Learn the differences between NoSQL and traditional relational databases, discover how to perform common data science tasks with NoSQL, and more.

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