- [Instructor] As you are preparing data for graphs,…here are a few things to keep mind.…Start by identifying nodes and edges in your graphs.…You'll have to load data in a way…that separates nodes and edges.…This can be somewhat more complicated than loading data…into relational databases, but it's not too different.…Keep in mind that if you're using a tabular data format,…like CSV, then columns can be nodes, edges, or properties.…Data files can be organized in a variety of ways.…For example, you may find some files that have only nodes,…some others that have only edges,…and still others that have both nodes and edges.…
As a general rule, separating nodes and edges…can sometimes simplify loading logic.…As with any time you load data in a database,…you'll want to perform some quality checks.…Make sure all nodes have an identifier.…This is like having a primary key…and helps to keep track of individual entities.…Edges may have unique IDs, but they don't have to.…We can usually identify edges by the nodes they link.…
The course begins with an introduction to NoSQL, and then delves into the specifics of document, wide-column, and graph databases. Learn key details for performing data preparation, exploration, and extraction for each type of NoSQL database. Review case studies that show how to use various NoSQL databases with popular data science tools, including the document database MongoDB, the wide-column database Cassandra, and the graph database Neo4j.
- NoSQL compared to traditional relational databases
- Performing common data science tasks
- Preparing data with document databases
- Manipulating data in NoSQL
- Preparing, exploring, extracting, and model building
- Working with document, wide-column, and graph databases
- Reviewing case studies using MongoDB, Cassandra, and Neo4j
Skill Level Advanced
1. Why NoSQL?
Types of NoSQL databases2m 20s
2. Perform Common Data Science Tasks with NoSQL Databases
3. Document Databases for Data Science
4. Wide-Column Databases for Data Science
5. Graph Databases for Data Science
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