Understanding Graph Databases With Neo4j

Name: Understanding Graph Databases With Neo4j
Rating: 3.7 (19 reviews)

From IT Strategy to Practice, with a little French touch !

Created byClément Fiocre | Data | API | Business Intelligence | Low Code

Last updated 5/2026

English

What you'll learn

What is the graph theory and how to apply it in an IT context ?
What are the differences between Graph, SQL, and other NoSQL Databases ?
What is a Graph Database ?
When is it appropriate to use a Graph Database ?
Which features are available in a Graph Database ?

Course content

5 sections • 30 lectures • 3h 19m total length

Graph Databases Theoretical Module Introduction1:11
The Graph Theory2:10
In this video, we present a overview of the graph theory to prepare the analysis in an IT context and understand the added value of graph oriented databases.
Graph Theory Usage in Graph Databases - Queries6:44
In this video, we present the first differentiating point of graph databases by exploring the querying method which is different from relational databases.
Graph Theory Usage in Graph Databases - Algorithm (First Part)9:23
In this video, we present the second differentiating point of graph oriented databases by giving a first example of algorithms coming from the graph theory in a graph oriented databases context.
Graph Theory Usage in Graph Databases - Algorithm (Second Part)6:01
In this video, we continue to explore algorithms coming from the graph theory in a graph databases context by giving an overview of the algorithm list available in Neo4J, the best-known graph oriented database.

Databases Comparison Introduction2:44
In this video, we introduce the method that we will use to compare graph oriented databases by presenting the data model that we will use. This comparison will be done with the following others types of databases:
- Document oriented databases
- Relational databases
Graph Database Review10:00
In this video, we detail a little more the behavior of graph databases by implementing the data model in a graph format. It will give us opportunity to discuss about attributes management in graph oriented databases context.
Relational Databases Review7:44
In this video, we detail a little the behavior of relational databases by implementing the data model in a relational format.
Relational Databases Analysis7:21
In this video, we explore others solutions of implementation of the data model in relational databases and we try to be inspired of graph oriented databases.
Document Oriented Databases Review6:55
In this video, we detail the behavior of documented oriented databases by implementing the data model in this format.
Document Oriented Databases Additional Information5:31
In this video, we explore a interesting feature of MongoDB, a documented oriented database. This feature is the sharding. We will have the opportunity to explore it in Neo4j.
Conclusion5:31
In this video, we conclude on this comparison part by presenting a synthesis of the comparison.

Graph Databases Use Cases Introduction1:12
In this video, we introduce the Graph DB use cases analysis part.
Land Use Plan5:36
In this video, we present the method that will enable us to identify usage cases of GraphDB. The land use plan will allow us to take a step back to describe a company IT asset.
Legacy Review7:37
In this video, we describe a company IT asset by using the land use plan previously presented.
Graph Databases Use Cases Overview7:34
In this video, we introduce the usage of GraphDB by using the IT asset description previously presented.
Graph Databases Use Case 1 - Master Data Broadcast10:16
In this video, we present the first Graph DB use case by focusing on master data management scope.
Graph Databases Use Case 2 - 360° views6:31
In this video, we present the second GraphDB use case by focusing on data warehouse scope.
Graph Databases Use Case 3 - Data Labs3:50
In this video, we present the second Graph DB use case by focusing on data science scope.

Proof of Concept with Neo4J - Introduction2:00
In this video, we introduce the graph database proof of concept with Neo4j part
Example Overview6:58
In this video, we introduce the example that we will use in the Graph DB proof of concept with Neo4j part
Basic Queries in Neo4j8:45
In this video, we introduce Neo4j GraphDB basic queries
Relation Queries in Neo4j16:26
In this video, we introduce Neo4j Graph Database relation queries
Write Queries in Neo4j11:33
In this video, we introduce Neo4j Graph DB write queries
Path Queries in Neo4j9:48
In this video, we introduce Neo4j GraphDB path queries
Aggregation in Neo4j3:39
In this video, we introduce Neo4j Graph Database path queries
Other Queries in Neo4j6:25
In this video, we introduce Neo4j Graph DB path queries

Requirements

No programming experience needed
A first experience with SQL Databases

Description

You are CIO, Architect or developer and you hear a lot of things about graph databases, You did some searches on the web but you only found a commercial speech which explain you how much this type of database is powerful and it looks like it is the answer to all you problems …

But you know that this is not the case, you know that a technological choice is never perfect and is about strength and weaknesses. And finally, after your searches, you don’t really know when to use a graph-oriented database even if you feel that they have a good added value.

So how to choose the right technology for your projects?

In this course, I suggest you to explore Graph Oriented Databases like this:

What is the graph theory and how to apply it to an IT context?
What are the differences between graph, SQL, and other NoSQL Databases?
When is it appropriate to use a graph database?

At the end of this course, you will understand the differentiating points of graph databases. you will have an overview of the database selection criteria and you will be able to detect use cases for this technology.

There is on more thing, this course is the first version of the translation of my existing course in French. In the future, I will enrich it and you will have access to this new content. The next versions include:

A demonstration with Neo4j, the best-known graph oriented database
And some exercises, again with Neo4j

Who this course is for:

CIO
Functional Architect
Product Owner
Business Analyst
Product Manager

Understanding Graph Databases With Neo4j

What you'll learn

Explore related topics

Course content

The Graph Theory in Databases5 lectures • 25min

Databases Comparison7 lectures • 46min

Use Cases7 lectures • 43min

Proof of Concept with Neo4j - Basic Queries8 lectures • 1hr 6min

Proof of Concept with Neo4j - Algorithms3 lectures • 20min

Requirements

Description

Who this course is for: