Neo4j Cypher Essential Training

Discover how to segregate and group nodes in Neo4j, label them for course, user, and platform data, and improve search performance by focusing on labeled groups.

Learn to create and apply labels on nodes in Neo4j Cypher using the create clause, colon-prefixed labels like :Course, and single-query patterns to link courses, categories, and creators.

Learn how to apply a label to an existing node in Neo4j using match and set, search nodes by property or id, and gain performance by labeling to limit scans.

Learn to create and query nodes with multiple labels in Neo4j Cypher, creating two labels (database and graph database), retrieving labels with labels(), and assigning labels with set.

Learn to write a single cypher query that retrieves all node labels and conditionally adds a tutorial label to every node except the one labeled graph database.

Remove labels from a node using the remove keyword in Cypher, reducing a node with course, database, and graph database labels to a single label.

Learn how the merge clause maintains data integrity by matching complete patterns before creating nodes, preventing duplicates and ensuring accuracy and consistency across related data.

Apply the merge clause to a complex pattern of user, course, and platform nodes and relationships, reusing existing data and avoiding duplicates.

Explore how the merge clause fires two events on create and on match in a complete pattern to trigger new course quality checks and track popularity by search counts.

Learn how to perform outer joins in Neo4j using the optional match clause to retrieve user, course, and platform data even when some nodes are missing.

Learn to chain data in Cypher using the with clause, passing semi computed results between query stages to reveal top courses, their creators, and platforms.

Learn why indexes improve Neo4j query performance, the costs, and what can be indexed (label nodes), then measure performance using Cypher with rows, estimated rows, and DBHits.

Learn how to use Cypher query hints to force index usage and optimize query plans by targeting the leftmost node with a specific variable, improving DBHits performance.

Learn how Neo4j indexes work, including explain vs profile, how to list and drop indexes with db.indexes, and how index status online, populating, or failed affects query plans.

Learn to maintain data in Neo4j by enforcing data integrity through consistency and correctness with a unique constraint on courseName, using create and constraint syntax, and view constraints via db.constraints.

Learn the four constraint types in Neo4j: uniqueness, attribute existence, relationship existence, and node key—and how constraints create an index and handle composite constraints on username and email.

Apply existence constraints in Neo4j to preserve data semantics by enforcing mandatory attributes on nodes and relationships, such as ensuring a user name or createdOn property.

Learn how to implement the node key constraint in Neo4j, enforcing unique and existing combinations of username and email on user nodes, with attention to attribute order.

This lecture demonstrates importing bulk data into neo4j with the load csv clause, configuring custom import folders, and building product, customer, and purchase history nodes to reveal correlations.

Learn how to import csv data into Neo4j using load csv and with clause, conditionally create customers and products with apoc, and generate basic recommendations from sales counts.