Course Details
Course Details
What You'll Learn
Topic 1 Overview of Neo4j Graph Database
Basic graph theory and the elements that make a graph
Graph structures
Common graph database use cases
Elements of a Neo4j graph database
How Neo4j implements index-free-adjacency
The Movie graph’s data model and data
Topic 2 Cypher Fundamentals
Reading Data from Neo4j
Introduction to Cypher
Retrieving Nodes
Finding Relationships
Traversing Relationships
Filtering Queries
Writing Data to Neo4j
Creating Nodes
Creating a Node
Creating Relationships
Updating Properties
Adding Properties to a Movie
Merge Processing
Deleting Data
Topic 3: Intermediate Cypher Queries
Filtering queries
Controlling results returned
Working with Cypher data
Graph traversal
Pipelining queries
Subqueries
Using parameters
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 21-65 years old
Minimum Software/Hardware Requirement
Software:
You can download and install the following software:
Hardware: Windows and Mac Laptops
Job Roles
Job Roles
- Database Administrator (specializing in graph databases)
- Data Scientist (working with graph data)
- Neo4j Developer
- Graph Database Consultant
- Data Engineer (focusing on graph technologies)
- Data Architect (implementing graph solutions)
- Backend Developer (integrating graph databases)
- Graph Data Analyst
- Machine Learning Engineer (using graph-based algorithms)
- Data Integration Specialist (for graph databases)
- Recommendation System Developer
- Research Scientist (working on graph theory)
- Social Network Analyst
- Fraud Detection Specialist (using graph patterns)
- Bioinformatics Researcher (using graph databases).