Becoming Neo4J Certified

Serverless Guru
Oct 31 · 5 min read

Hello! This article will assist you in taking the Neo4J certification. We will cover some of the major topics.

What is Neo4J ?

  • Neo4j is used to store, map, analyze and traverse networks of connected data to reveal invisible contexts and hidden relationships.
  • It is thus a Graph database, and does not use relational schema objects and is also ACID compliant.

Neo4j Access

  • The graph DB can be accessed via a browser or can be installed locally (Neo4j browser and Neo4j desktop) respectively.
  • Neo4j bloom assists to perform some advanced visualization of data.
  • Apart from doing visualization manually, there are driver support available for languages like Python, Go and Java etc. to do visualization in a programmatic manner.

Neo4j Browser

  • The Database present in a running instance can be accessed through a web browser
  • We can only connect to a single database instance at a time
  • The Neo4j Sandbox can be created, over the Internet, in order to work with the Database. This is a temporary Neo4j instance that is available for 3 days, but you can extend it to 10 days.
  • Bolt protocol is used by applications to Neo4J db
  • The visualizations can be exported in PNG, SVG and CSV format

Neo4j Desktop

  • By default, APOC, Graph Algorithms, and GraphQL are available to your Neo4j Desktop projects.
  • APOC is a library that provides hundreds of procedures and functions.
  • Graph Algorithms
  • Path Finding — these algorithms help find the shortest path/availability/quality of routes
  • Centrality — these algorithms determine the importance of distinct nodes in a network
  • Community Detection — these algorithms evaluate how a group is clustered or partitioned
  • Similarity — these algorithms help calculate the similarity of nodes
  • We can create multiple projects, each with their own database or set of databases, but only one database can be started at a time.

Neo4J — Local to Web

  1. From Neo4j Desktop, we can open Neo4j Browser. This is done by clicking <your project name> on the Desktop screen, then click Manage on our database.
  2. We can also access this from a regular browser window by typing http://localhost:7474 and signing in with Username: neo4j, Password: "your database password"

Loading data into DB

We can utilize one of these available options

  • Execute LOAD CSV statements in Cypher.
  • APOC library — import procedures
  • Use the neo4j-import tool
  • Use the Neo4j ETL tool to map data from relational databases and load into Neo4j

License Open-source licenses and a commercial license, which includes technical support, are available.

Cypher Query Language

Cypher is Neo4j’s graph query language that allows users to store and retrieve data from the graph database.

Cypher’s syntax provides a visual and logical way to match patterns of nodes and relationships in the graph. It is a declarative, SQL-inspired language for describing visual patterns in graphs using ASCII-Art syntax. It allows us to state what we want to select, insert, update, or delete from our graph data without a description of exactly how to do it. Through Cypher, users can construct expressive and efficient queries to handle needed create, read, update, and delete functionality.

Example//data stored with this direction. Create Operation
CREATE (p:Person)-[:LIKES]->(t:Technology)
//query relationship backwards will not return results
MATCH (p:Person)<-[:LIKES]-(t:Technology)
//better to query with undirected relationship unless sure of direction
MATCH (p:Person)-[:LIKES]-(t:Technology)
//Return all persons name
//Alias persons name into 'Employees_name'
MATCH (p:Person) RETURN AS Employees_name
//Update a parameter using SET
MATCH (p:Person {name: 'Jane'}) SET p.birthdate = date('1990-12-12') RETURN
// Unroll list and return distinct elements
WITH [1, 1, 2, 2] AS coll UNWIND coll AS x WITH DISTINCT x RETURN collect(x) AS setOfVals
// Count - null vs not null
COUNT(*) :- counts rows, not values
COUNT(n) :- does not count null values
// Merge either matches existing nodes and binds them, or it creates new data and binds that.
//Merge is like combination of create and match
MATCH (p:Person) MERGE (c:City { name: p.bornIn }) RETURN p

Data Model

The four building blocks of a Neo4j Graph Database are

  • Nodes
  • Relationships
  • Properties
  • Labels

Nodes In a Neo4j database, what are nodes are used to represent entities and complex value types in the graph. Two nodes can be connected by more than one relationship

Relationships Nodes are connected by relationships. Thus Foreign keys are not needed to decide which nodes are related

  • Relationship is a structure with a name and direction that describes the connection between two nodes
  • It provides structure and context to the graph
  • So according to this logic, a single node can have a relationship that points at itself
  • Direction is required when creating a relationship, but not when querying a relationship
  • Finally, if nodes have relationships attached to them, they cannot be deleted


  • Labels are a tags that are used to group nodes into sets, representing them as entities
  • They are used to apply constraints within groups of nodes


  • Properties are the key-value pairs used for nodes and relationships.
  • Property values can be Numbers, byte, boolean, string, array of string or date
  • Automatic indexing of nodes occurs when a label is added to a node, but the indexing of properties only occurs if you explicitly add an index or constraint to a property.
  • Neo4j does not enforce by default that all nodes with the same label must have the same property keys


Well, there you have it! A beginner article to start with Neo4J. More interactive workspaces to be added in the subsequent articles.

Just try how good you fare after reading this article using this link

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