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LinkedIn Learning

Advanced NoSQL for Data Science

via LinkedIn Learning

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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.

Syllabus

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

Taught by

Dan Sullivan

Reviews

4.5 rating at LinkedIn Learning based on 237 ratings

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