Neo4j Graph DB

Mastering Neo4j and Graph Databases

Embark on an immersive journey to master Neo4j, the leading graph database technology. This hands-on course covers the essentials, from Cypher and the Graph Data Science Library to Bloom and an introduction to GraphQL.

Course Highlights:

• Introduction to Neo4j: Discover the unique architecture and core features that make graph databases vital for tackling modern data challenges. Establish a strong foundational understanding of Neo4j.

• Industry Applications of Neo4j: Explore real-world case studies across diverse sectors like finance and healthcare to see how Neo4j transforms industries with its versatility and impact.

• Positioning Neo4j in the Data Ecosystem: Understand Neo4j’s unique role compared to traditional databases, highlighting its advantages and use cases in the data landscape.

• Property Graph Model: Learn about the components of the Property Graph Model, which forms the backbone of Neo4j, ideal for representing complex, interconnected data.

• Hands-On Labs:

  • Neo4j Setup and Installation: Step-by-step guidance on installing Neo4j on Windows, navigating the Neo4j Browser, and setting up your initial dataset. Explore various setup options, including cloud, on-premises, and hybrid configurations.

  • Cypher Query Language: Unlock the power of Cypher with practical labs, progressing from basic syntax to advanced topics like filtering, aggregation, CRUD operations, and advanced features such as MERGE, WITH, and RETURN.

  • Shortest Path Lab: Develop skills in finding the quickest routes between nodes, essential for graph analytics.

  • Crime Investigation Use Case: Apply your skills to solve a mystery using Neo4j in this engaging challenge.

• Graph Data Science Library: Dive into the Graph Data Science Library with a Flights Data Use Case. Engage with algorithms like Centrality, Community Detection, Node Similarity, and Path Finding through hands-on labs.

• Performance Optimization: Learn about memory allocation recommendations and best practices for writing optimized queries to ensure efficient database operations.

By the end of this course, you'll gain comprehensive knowledge of Neo4j, Cypher, and the Graph Data Science Library, preparing you to confidently build, query, and optimize your own knowledge graphs. Begin your journey to becoming a Neo4j and graph database expert today!

What You'll Learn:

• Graph Database fundamentals with Neo4j

• Cypher Query Language from beginner to advanced levels

• Practical use cases for Neo4j and graph databases

• Insights into the Graph Data Science Library

• Basic understanding of GraphQL

• Overview of Bloom