
Discover graph databases with Neo4j, master Cypher, explore nodes, relationships, properties, and labels, install Neo4j on Windows or Linux, and build a JavaScript app with the Neo4j JavaScript driver.
Explore what a graph database is and how it works, its advantages, and the graph data model (nodes, relationships, properties, labels) in this introductory section of the Neo4j course.
Explore graph databases, where nodes, edges, and properties enable create, read, update, and delete operations. See how relationships take priority and Neo4j enables fast, scalable networks and fraud detection.
Compare graph databases and relational databases, highlighting graphs' property-rich relationships, easier scaling for interconnected data, and the role of Cypher and Neo4j.
Explore Neo4j essentials: what Neo4j is, the graph model, and practical examples, then install and set up Neo4j on Windows and Linux Ubuntu, and explore the Neo4j browser interface.
Discover how Neo4j uses native graph storage and a property graph model to capture nodes, relationships, and their properties, with Cypher queries and acid compliance.
Install Neo4j on Windows by choosing the community edition, run the installer, and open the Neo4j browser at localhost 74 74 / browser to interact with the graph database.
Install Neo4j on a Linux Ubuntu machine using the repository and apt-get commands. Access Neo4j browser on localhost and log in with the default credentials, then set a new password.
Navigate the Neo4j browser interface, log in with the default credentials, and use the editor, query bar, and templates to run cipher queries, explore tutorials, and save favorites and folders.
Explore the basics of cipher query language in Neo4j, building nodes, relationships, labels, and properties while using create, match, set, remove, and delete operations through hands-on examples.
Explore cipher query language for graph databases, using match, where, create, delete, set, remove, merge, and return to describe patterns of nodes and relationships with labels and properties in Neo4j.
Create and query relationships between person and location nodes using match, merge, and create, linking friends and born in relationships with properties such as year.
Learn to perform create, read, update, and delete operations on nodes and their properties in Neo4j by adding, updating, removing properties, and safely deleting nodes and relationships.
Explore sipher queries and clauses, including the in clause with unwind in union, and review the Neo4j restfully api for http requests and database interaction.
Explore Neo4j’s HTTP REST API to fetch and create nodes, relationships, and queries via JSON payloads. Learn basic requests, authentication toggles, and practical examples with Rest Easy and curl.
Explore how language drivers connect Neo4j from multiple languages, including official and community options, and use the bolt protocol with the JavaScript driver for your project.
Build a JavaScript app that integrates with a graph database to create people and locations, connect friends, and add birthplace relationships using the Neo4j driver to submit queries.
Set up a Node.js and Express server with npm, create package.json, install dependencies like body-parser and Express, configure EJS views, and run a home route on port 3000.
Learn to set up the Neo4j driver in a node app, connect via the bolt protocol, run Cypher queries with a session, and render results in the view.
Integrate a Neo4j database with the app, add person and location nodes via forms and post routes, render updated lists, and prepare to create relationships between nodes.
Learn to navigate from a person list to an individual profile in a Neo4j-powered app by routing with person id, querying name, city and state, birthplace, and friends.
Enhance the Neo4j app by applying Bootstrap UI via a CDN, adding header and footer, a navbar, and a grid of wells, powered by jQuery and Bootstrap JS.
Learn to extend a Neo4j powered app by adding a connect friends form and birthplace data on a user page, using hidden inputs, id-based redirects, and dynamic updates.
Explore graph databases with Neo4j; compare to relational models. Master the graph data model, including nodes, relationships, properties, and labels; install on Windows or Linux and explore cypher queries.
Data has single handedly become an important factor for individuals and business alike. This is mainly because data can translate into information, especially important information that is required to make big decisions. However, data in its raw form is worth very little.
Until data is sorted into sections and sub-sections, the data is simply information that is useless. An analysis can only be derived from the data when it is sorted and filed properly to show a pattern. This is where databases come into the picture.
Databases sort and file data to help show a trend within the data, making the data a powerful tool for business, as well as people. Neo4J is a type of graph database, which helps sort data using a graph making it easier to file and retrieve data.
Graph databases use a series of nodes, properties and relationships between the nodes, to sort the data. This method makes graph databases faster, more efficient, easy to scale, flexible and agile. It is also easier to fetch and retrieve accurate data because of the relationship between the nodes.
Neo4J is slowly becoming one of the more popular forms of databases because of its simplicity and performance with large amounts of data. Do you want to know how Neo4J can optimize your apps and simplify your life? Well, you’ve come to the right place.
This Neo4J tutorial is the perfect place for you to get started with learning about databases, graph databases and even Neo4J. You don’t even need to have any experience with databases!
This course has been designed to help you start from scratch and master the course in a manner of few hours. You will learn from knowing nothing about databases to mastering one of the most go to graph databases.
The course starts at the very beginning with databases in general and progresses to actually building an application with NodeJS and JavaScript that employs Neo4J.
In this course, you will learn everything about graph databases, general overview of the different types of databases, how graph databases stack up to other relational databases, the advantages of using this particular database, what is Neo4J, how to set up the Neo4J environment, the Cypher Query Language (the core language for interacting with Neo4J), available contributed language drivers, etc.
After you have mastered the basics and have learned the theory behind Neo4J, you will use those skills to design and build a working application. You will learn how to incorporate nodes, add properties and even create relationships in this application.
Neo4J is the perfect solution for handling large database needs. Learn how to optimize your search queries and simplify your database needs with this database. So, what are you waiting for? Enroll now!