- [Narrator] I'm starting where we left off…in the last video.…Now in between,…I did save this Jupyter notebook as Load_Neo4j.…Now, the first thing I want to do in this video,…is execute another shell command.…And this time, I'd like to look at the first few lines…of the file called edge_distance.txt.…So what we have here are lists of cities,…city pairs, and the distance between them in miles.…So this is data for the edges.…So what I want to do now, is I want to add these edges…to my graph database.…
To do this, I'm going to start a transaction…on my graph database.…And I'm going to do that by referencing my graph g…and asking it to begin a transaction.…And just to be cautious I always put my commit in,…so that I start a transaction and then commit it.…I'm now going to open the file that I'm interested…in working with using the with open command.…And the file name of course is edge_distance.txt.…And I'm going to refer to that as f_in.…And I'm going to just scroll up a little bit here.…
And then for each line,…in that file the first thing I'm going to do…
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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