Learn Graph Database Design & Development
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Free
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About Course
Dive into the world of graph databases with our comprehensive course where you can learn graph DB through practical examples. Designed for beginners, this course will introduce you to the fundamentals of graph database design, allowing you to create efficient data models that leverage relationships between data points.
What Is A Graph Database
This course answers the crucial question: What is a graph database? You’ll explore the unique features and advantages of graph databases, making it easier to visualize and analyze complex data relationships. Join us for graph database training that equips you with the skills needed to harness the power of this innovative technology.
In this course you learn how to design and develop Graph databases especially in the Neo4J platform.
The real world is richly interconnected, and graph databases aim to mimic those sometimes- consistent, sometimes-erratic relationships in an intuitive way. Graph databases are extremely useful in understanding big datasets in scenarios as diverse as logistics route optimization, retail suggestion engines, fraud detection and social network monitoring.
Take fraud detection as an example. Financial institutions and insurance companies lose billions of dollars every year to fraudsters. But many of them now rely on graph database to successfully uncover fraud rings by bringing previously hidden relationships to light.
But it’s not only this focus on relationships that makes graph database so powerful. A whiteboard data model that’s flexible and scalable to evolve along with your data; an intuitive query language that makes writing queries simple; and agility that saves your company valuable time all make graph database stands out from other NoSQL offerings and traditional relational database (RDBMS) technologies.
If you wish to learn about other databases, taking the following courses is recommended: Intro to database design, Intro to SQL programming, and Intro to NoSQL database design with MongoDB.
Graph Database Topics and Subtopics
Below is outline of optics covered in this course.
1- Graphs Are the Future
2- Why Data Relationships Matter
3- Data Modeling Basics
4- Data Modeling Pitfalls to Avoid
5- Why a Database Query Language Matters
6- Imperative vs. Declarative Query Languages
7- Graph Theory & Predictive Modeling
8- Graph Search Algorithm Basics
9- Why We Need NoSQL Databases
10- ACID vs. BASE Explained
11- Aggregate Stores Tour
12- Other Graph Databases
13- Native vs. Non-Native Graph Processing
Requirements
Good knowledge of database logics, concepts and design.
Related Courses
Complete Training Bundle
If you are serious about becoming a pro system admin or cloud specialist, you should enroll in Coding Bootcamps school System Admin- Complete Training Bundle. This bundle covers all essential and practical topics related to system administration. For $290 monthly subscription, you can have access to 300+ hours of hands-on project-based training covering all courses related to system administration like Linux, SQL, No-SQL, or Graph database development, bash scripting, Docker, Kubernetes and many more. Click here to learn more.
Private Tutoring Classes
To take skills you learn from this course to the next level, taking the following tutoring classes are highly recommended. It is also a great opportunity to discuss your questions and problems related to this course with an experienced instructor:
- Private tutoring sessions for system administrator management- Weekly and monthly plans
- Database design and SQL coding- Private tutoring sessions
What Is Next?
After finishing this course, you can enroll in any of following classes:
