Understanding Graph Databases With Neo4j

Understanding Graph Databases With Neo4j, available at $19.99, has an average rating of 4.15, with 30 lectures, based on 13 reviews, and has 1209 subscribers.

You will learn about 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 ? This course is ideal for individuals who are CIO or Functional Architect or Product Owner or Business Analyst or Product Manager It is particularly useful for CIO or Functional Architect or Product Owner or Business Analyst or Product Manager.

Enroll now: Understanding Graph Databases With Neo4j

Summary

Title: Understanding Graph Databases With Neo4j

Price: $19.99

Average Rating: 4.15

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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 ?

Who Should Attend

CIO
Functional Architect
Product Owner
Business Analyst
Product Manager

Target Audiences

CIO
Functional Architect
Product Owner
Business Analyst
Product Manager

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

Course Curriculum

Chapter 1: The Graph Theory in Databases

Lecture 1: Graph Databases Theoretical Module Introduction

Lecture 2: The Graph Theory

Lecture 3: Graph Theory Usage in Graph Databases – Queries

Lecture 4: Graph Theory Usage in Graph Databases – Algorithm (First Part)

Lecture 5: Graph Theory Usage in Graph Databases – Algorithm (Second Part)

Chapter 2: Databases Comparison

Lecture 1: Databases Comparison Introduction

Lecture 2: Graph Database Review

Lecture 3: Relational Databases Review

Lecture 4: Relational Databases Analysis

Lecture 5: Document Oriented Databases Review

Lecture 6: Document Oriented Databases Additional Information

Lecture 7: Conclusion

Chapter 3: Use Cases

Lecture 1: Graph Databases Use Cases Introduction

Lecture 2: Land Use Plan

Lecture 3: Legacy Review

Lecture 4: Graph Databases Use Cases Overview

Lecture 5: Graph Databases Use Case 1 – Master Data Broadcast

Lecture 6: Graph Databases Use Case 2 – 360° views

Lecture 7: Graph Databases Use Case 3 – Data Labs

Chapter 4: Proof of Concept with Neo4j – Basic Queries

Lecture 1: Proof of Concept with Neo4J – Introduction

Lecture 2: Example Overview

Lecture 3: Basic Queries in Neo4j

Lecture 4: Relation Queries in Neo4j

Lecture 5: Write Queries in Neo4j

Lecture 6: Path Queries in Neo4j

Lecture 7: Aggregation in Neo4j

Lecture 8: Other Queries in Neo4j

Chapter 5: Proof of Concept with Neo4j – Algorithms

Lecture 1: PageRank in Neo4j

Lecture 2: Jaccard Similarity in Neo4j

Lecture 3: Louvain Community Detection in Neo4j

Instructors

Clément Fiocre | API | Business Intelligence | Graph Database
Enterprise Data Architect

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 4 votes
4 stars: 4 votes
5 stars: 5 votes

Frequently Asked Questions

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