
Explore Neo4j as a native, scalable graph database designed to store data and relationships. Compare graph modeling with SQL by examining nodes, edges, and Cypher queries.
Model data in a graph environment by using nodes for entities, edges for relationships, and properties to describe nodes and relationships, with labels to group related nodes.
model a crime investigation in a graph database by centering the victim, the dog, and linking suspects, investigators, locations, and the car to the crime.
Model a company at the center of a graph, linking employees with work-at relationships, and connect suppliers, products, and customers with address as a company property.
Explore sql vs cql, and how a student table becomes graph nodes with properties and labels, while relationships highlight the benefit of graph databases.
Understand how case sensitivity distinguishes property names and keywords in Neo4j, as different capitalization yields distinct properties and affects how you call them.
Explore the symbolic representation of graphs in cypher, showing nodes in brackets, relationships with a dash-dash arrow, and properties as key-value pairs while creating nodes and relationships.
Install Neo4j desktop step by step by downloading the installer and entering the activation key on Windows or Mac. Learn to handle security prompts and install the runtime environment.
Navigate Neo4j Desktop to create or import projects, manage dbms, and explore the browser and graph apps for data visualization with Bloom.
Explore the Neo4j browser by viewing movie nodes and labels, pinning and dragging nodes, and inspecting relationships like attending and produce; learn to split queries with semicolons.
Create empty nodes in a Neo4j graph database, understand single and multiple node creation, and see how IDs start at zero and reset when the database is cleared.
Create an empty node in Neo4j, verify its presence with zero relationships, and practice adding multiple empty nodes to see their ids in the database.
Assign variables to created nodes in Neo4j, return them immediately, and observe how detach delete and deletions affect IDs and database state.
Create a node with multiple properties in neo4j by assigning fields like name, age, and contact information such as email or phone, using single or double quotes.
Create a node with name, age, and image properties, verify property keys and node info on the lab panel, and reset by deleting all nodes.
Create a node with properties and a label, assign a name like Tony, and add properties; see that without a name property nothing displays, while a label exposes the name.
Create a person node with properties like name and age, display the name on the node, and manage favorites with add, remove, and automatic run options.
Explore creating relationships between nodes in Neo4j, using labels to reference supplier and client nodes, and composing one-line or multi-line queries that return connected nodes and their relationships.
Explore creating and querying relationships in Neo4j by building supplier–client connections, returning nodes and relationships, and practicing deleting and recreating the database to observe results.
Explore how the asterisk represents all words and the defined variables, and how omitting a variable name affects what is returned.
In this lab, delete the database, remove and recreate relationships, and verify the results to see how nodes interact with an asterisk in this Neo4j lab.
Learn to model a graph with cypher by creating nodes like Peter and a house, assigning labels and properties, and defining relationships as arrows from Peter to house.
Explore creating and inspecting nodes and relationships in a Neo4j graph, such as Peter's house and marriage to an OC, then navigate connections and verify results.
The lecture demonstrates how to model a 'forgotten friend' relationship between Andrew and Mike, and discusses choosing a relationship type using common characters or underscores when spaces are involved.
Craft a query to show the forgotten friend relationship from Mike to Andrew, visualize the arrow between them, and reset the database by deleting all data.
Create a graph by first building three nodes. Then connect them with follows relationships line by line, using variables to represent nodes and exploring alternate paths to get your results.
Learn to create and visualize relationships in Neo4j GraphDB by linking nodes with code, inspect who is who by clicking nodes, and delete and rerun the database to reproduce results.
Create a path variable to represent a footpath and return the entire path. Use the asterisk for defined variables and preserve two relationships and three nodes.
This lab demonstrates parsing parts and returning the entire part, shows how comma boundaries affect what gets returned, and instructs how to duplicate, name, and assign parts separately.
Create graph database nodes with properties, then match and connect them to form family relationships, including married and parent-of links, building a complete family tree in Neo4j.
Learn to model a crime scenario in Neo4j by creating nodes for entities (people, dog, location, crime) and linking them with relationships (victim, location, investigation) to visualize a crime investigation.
Create and connect nodes to form a graph about a company, defining relationship properties as part of the assignment. Share your code and results in the Q&A for feedback.
Run this to return all nodes in the database, after loading sample movies, and verify that every node is returned.
Explore how to match nodes with labels in Neo4j, using label-based filtering to capture specific notes or groups, and control traversal depth to refine results.
Explore matching related nodes in a Neo4j graph database, identifying two nodes connected by any relationship, regardless of direction, and capturing all related nodes.
Practice matching related nodes in a Neo4j graph by creating notes, querying connections, and observing how connected and unconnected nodes behave.
Return notes connected to a node named Tom Hanks using a variable and return clauses to include or omit relationships.
Explore related nodes by inspecting the connected nodes to Tom Arcs, switch from diagram view to table detail, and analyze node relationships in this lab exercise with solution.
Learn to match nodes by labels in Neo4j, filtering movie notes connected to Robert Zemeckis and navigating related nodes to reveal relevant film information.
Explore matching by incoming relationships in Neo4j: return all notes connected to the Polar Express via incoming relationships, ignore relationship types, and retrieve connected nodes for analysis.
Learn to match nodes by incoming relationships in Neo4j, using movie and related nodes to illustrate how incoming connections reveal how entities are linked.
learn to use uncommon characters as variable names by wrapping them in backticks, enabling these variables in your query and allowing new lines when enclosed by backticks.
Explore creating and returning nodes using uncommon characters as variable names in the Neo4j GraphDB lab, and observe how these characters behave in queries.
Copy properties from one node to another by matching the source's properties, then create a new node and assign the relevant properties using dot notation, such as city.
Start with a clean slate by deleting the database, create node A, then copy A's city property to node B, resulting in B having city: New York.
Learn how to copy properties from a relationship in Neo4j by using a relationship variable, checking and applying the property like since, and linking nodes with a knows relationship.
Explore the lab on Neo4j return versus SQL select by running sample queries to fetch employee names, titles, and body fields, and practice simple calculations within the query tool.
Identify and query relationships between nodes, discover relationship types, and use return statements and properties to reveal directed connections in a database.
Demonstrates how to alias properties in a Neo4j query, renaming the name field, and selectively returning fields like name and age by applying aliases and projections.
Return the entered name and update the title to reflect the desired name, while noting age may be missing from the display.
Learn to return unique results in Neo4j using distinct, eliminating duplicate values and repeated properties, demonstrated with ages and the students table.
See how to return unique values by using distinct to remove duplicates and display results in ascending order, ensuring only unique values are retrieved in a graph database query.
Learn how to return properties for all nodes, properties of a specific node (such as K), and properties of relationships in the Neo4j graph database.
Discover how to return all labels in a Neo4j graph database and view the labels of this note.
Join this lab to create a node with all these levers, then return all labels using Cypher in a neo4j graph database.
Learn to return all relationships for a given graph part and represent them as a list in square brackets, covering paths and related nodes.
Explore querying a grub database in neo4j to return only one to three relationships between nodes, showing how to filter and present the relevant relationships.
Explore fetching relationship types in a lab by examining outward and inward directions between Tom Hanks and movie nodes, adjusting direction, and counting directed relationships.
Learn to match on relationship types in Neo4j by creating and querying follows relationships, exploring direction, and counting how many people Angela connects to through follows.
Learn to match Tony’s connections in a Neo4j graph database using multiple relationship types, such as family of and relatives of, and return the related names with k.name.
Explore matching with multiple relationship types in a Neo4j graphdb, a lab exercise using directed, produced, and acted relationships to reveal how movies and people connect.
Learn to query with multiple relationships to find people who directed a movie and those who attended with Tom, returning p.name.
Identify other actors tied to Tom Hanks in any movie by traversing multiple relationships. Explore this approach for discovering co-actors and relationships in the neo4j graph database.
Explore querying a Neo4j graph to reveal multiple relationships between actors and films, return titles and names with distinct results, and view a full diagram of all connections.
Explore how to use Neo4j to model and query multiple relationships among directors, actors, and movies. Visualize these connections with a graphical diagram to uncover collaborations.
Explore how optional match handles missing patterns in Neo4j and learn to combine it with match to prevent breaking queries when a pattern isn’t present.
Explore how optional match handles missing patterns in Neo4j, letting queries continue when nodes exist. Avoid using optional match for multiple nodes or patterns; use it when a match exists.
Understand how optional match differs from match in Neo4j by observing how optional match returns results when some nodes or patterns are missing, while match is stricter.
Learn how to use order by to sort by a primary key (age or bond) and a secondary key (name) with ascending or descending order and tie handling.
Learn how to use order by in Cypher, applying ascending and descending sorts, combining multiple sort keys, and handling ties to organize query results.
Explore how to use order by in cypher to sort results by properties like age or bond, even if they aren't returned, and learn to order in ascending fashion.
Explore how to constrain results with limit in Neo4j, sort with order by, and apply expressions and type conversion to integers to control output.
"Unlock the Power of Data with Neo4j: Transform Your Career Today!"
Embark on an exhilarating journey into the dynamic world of Neo4j, the acclaimed NoSQL graph database that's revolutionizing how industry giants like Cisco, eBay, and LinkedIn handle data. Neo4j stands out with its user-friendly, low-code approach, making the exploration of graph databases an exciting adventure for both tech enthusiasts and newcomers.
What is a graph database? It’s a game-changer in data management, treating relationships between data points as crucially as the data itself. Neo4j breaks free from traditional constraints, allowing data to be interconnected in its most natural form.
This course isn’t just a learning path; it’s a career catalyst. From basic concepts to advanced strategies, you’ll gain the skills to implement Neo4j in real-world scenarios.
Who is this Course for?
Visionaries eager to delve into Neo4j, the trailblazer in NoSQL Graph Databases.
Innovators looking to blend Python with Neo4j for groundbreaking data solutions.
Pioneers wanting a deep, yet clear-cut mastery of Neo4j for their next big project.
Seekers of a Neo4j learning experience that’s both comprehensive and engaging.
Challengers who thrive on practical learning and tackling captivating problems.
Future Certified Neo4j Professionals aiming to excel in Neo4j interviews.
Trailblazers in big data, data science, machine learning, AI, or software development, who recognize Neo4j as a key to unlocking their potential.
Step into a world where data is not just numbers, but a story waiting to be told. Join us and redefine your professional landscape with Neo4j!