Introduction to Graph Databases, Neo4j & Cypher
Discover the power of graph databases with Neo4j. Learn Cypher, the query language for graph databases, and unlock endless possibilities in fraud detection, influence analysis, transportation networks, and knowledge graphs. This course is perfect for anyone looking to expand their NoSQL expertise and add a graph database project to their portfolio. Whether you’re a social science researcher or simply curious about networks, this course will equip you with the skills needed to excel in the world of graph databases. Start your journey today and become a certified Neo4j expert.
What you’ll learn
- Identify graph-shaped problems (where relationships are central for problem-solving), suitable for graph databases
- Types of No-SQL databases, when do they apply
- Query the movies database in Neo4j using the Cypher Query Language
- Undertake intermediate queries using Cypher Query Language, including shortest path queries in Neo4j
Neo4j was valued at 2 billion in 2021, and raised a substantial sum for its funding rounds – graph databases are becoming increasingly used in fraud detection, influence analysis, transportation networks, and for generating knowledge graphs.
In Part 1, the course begins with an introduction to graph theory concepts, including, the history of graph theory, introducing the learner to NoSQL databases, after providing a context on the history of database development.
Then, the course introduces the learner to one of the graph databases – Neo4j, and the associated query language, Cypher. Cypher will likely constitute the foundation of a standardized graph query language, and learning Cypher will not limit one’s application to Neo4j alone. The course touches upon how it is easy for any learner transitioning from SQL to easily grasp Cypher.
Part 2 of the course focuses on querying with the Cypher Query language on the Movies dataset built into Neo4j, so the learner becomes familiar with using the Cypher query language:
Retrieve information on the schema of the database
Query the graph database (Filter results with the WHERE clause, Querying patterns, Querying a database (building a list, collect and count data, calculations), Control results (duplication/sorting))
Create Nodes and Relationships (Create and Delete Nodes, Create and Delete Relationships)
Indices and Constraints (Create and use a simple index, Create and use a composite index, Create and use Full-text schema index, Create, use and delete a Uniqueness constraint, Create, use and delete an Existence constraint)
Importing data from a CSV file into Neo4j
Who this course is for:
- Anyone who plans to extend their NoSQL exposure/expertise to graph databases, keen to complete the Neo4j certification
- To include a graph database project in their portfolio
- Social science researchers looking to learn how to work with influence analysis and other applications of graph databases etc.
- Anyone curious about networks
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