Learn about graph databases and their strengths and weaknesses.
- [Instructor] Finally, we'll look at graph databases.…Graph databases provide a unique capability…among NoSQL databases.…What do they very well, no other type can do.…And what others do well, graph databases cannot.…Graph databases are all…about relationships between entities.…While other databases primarily focus…on entities and attributes,…graph databases focus on relationship between entities…and attributes for those relationships.…
A graph database stores nodes and attributes for them.…These nodes can represent customers,…users, employees, network elements, et cetera.…Relationships can have their own set of attributes…that describe the relationship.…It is possible to run queries…based on relationship attributes.…This is the unique strength of graph databases.…A graph databases allows chaining of relationships…and provide means to perform queries on these chains.…
Here are the top graph databases available today.…Let us now do an assessment of the Redis database.…Redis supports transactions.…This is a key strength,…
Author
Kumaran Ponnambalam
Released
6/19/2018Kumaran Ponnambalam begins by discussing the roles of databases in data science, as well as the key feature and performance requirements for databases in this field. Next, Kumaran goes over different database types, sharing the strengths and weaknesses of each one. To wrap up, he walks through specific use cases and shows how to select the best database technology for each situation.
Skill Level Intermediate
Duration
Views
-
Introduction
-
Welcome1m 7s
-
-
1. Roles of Databases in Data Science
-
Database usage types4m 53s
-
Data science process3m 49s
-
-
2. Database Types: Evaluation
-
RDBMS3m 36s
-
Document databases2m 26s
-
Columnar databases3m 17s
-
Key-value databases2m 54s
-
Graph databases2m 52s
-
3. Use Cases
-
Operations analytics4m 47s
-
Video sharing website3m 47s
-
Complete ecommerce platform4m 41s
-
-
Conclusion
-
Next steps36s
-
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.
Share this video
Embed this video
Video: Graph databases