Join Dan Sullivan for an in-depth discussion in this video Install Cassandra, part of Advanced NoSQL for Data Science.
- [Instructor] Now, we'll install Cassandra.…I am at the Apache Cassandra page and I'm going to navigate…over to the mouse button that says Download Cassandra.…I will click on that and I'm going to…download the latest version,…so I'm going to navigate to the point…where it says download the latest Cassandra version.…I will click on that.…Now I'm given the list of options to download from.…I'm going to select the top option…and this will download a binary tarball.…I'm going to right click on this so that I can save link as…and I'm going to save this to a directory that I've created…called NoSQLDS for NoSQL Data Science…and I will simply click Save and the download is beginning.…
Okay, the download is finished.…I'm going to show this in Finder and…I will double click to unzip the package…and now I have a folder called apache cassandra-3.9.…I'm now going to open a terminal window…and navigate to that directory.…I'm in my home directory so I will cd…to my NoSQLDS directory and I see that…I have Apache Cassandra 3.9, so I will cd to apache 3.9.…
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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