There are several different ways to store data that don’t follow the relational model. In this video, Adam introduces graph databases, which store information about individual relationships, called edges, between objects or nodes. This arrangement allows for modelling complex systems such as the connections between people on a social media platform.
- [Instructor] Before we wrap up this course, … I thought we could take a moment … to introduce two additional models for storing data … that take a different approach than the relational model. … Depending on the kind of information that you need to store, … one of these might actually be a better fit, … and it's worth exploring all of your options … before committing to a direction. … The first one that I want to look at … is called a graph database. … Graph databases store information … as either objects called nodes … or relationships called edges. … Unlike a relational database … where a single relationship defines all of the objects … between two tables, … in a graph database each object or node … can have a network of different relationships … to any other object. … And nodes can represent different kinds of information, … which makes a graph database extremely flexible. … The most common example of a graph database … would be used to model a social network, … but they can be used for tracking …
Author
Adam Wilbert
Released
9/23/2019- The basics of data storage
- Choosing an entity-relationship design tool
- Using primary keys to identify records
- What to consider when naming objects
- Creating a unique constraint
- Establishing table indexes
- Relating tables with foreign keys
- One-to-many and one-to-one relationships
- Normalization
- Writing SELECT queries in SQL
Skill Level Intermediate
Duration
Views
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Introduction
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1. Get to Know Relational Databases
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What the CRUD?3m 48s
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2. Entity Relationship Diagrams
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Choose an ER design tool5m 7s
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Design a table3m 39s
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3. Data Integrity and Validation
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Data constraints1m 44s
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Create a unique constraint5m 46s
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Define a default value3m 58s
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Establish table indexes4m 49s
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Add check constraints5m 31s
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4. Relationships
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Diagram a relationship2m 42s
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One-to-many relationships2m 10s
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One-to-one relationships1m 10s
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Many-to-many relationships2m 21s
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Self joins2m 17s
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Cascade changes2m 17s
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5. Normalization
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When not to normalize2m 29s
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6. Structured Query Language
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Data definition queries6m 22s
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Data manipulation queries4m 52s
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Create a database view2m 44s
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7. Beyond the Relational Model
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Graph databases1m 38s
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Document databases1m 32s
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Conclusion
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Next steps59s
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Video: Graph databases