This is the code repository for Learning Neo4j 3.x [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Managing the data is the biggest concern nowadays. Neo4j is the one solution that is getting the confidence of top IT giants. Neo4j is an open-source, highly scalable and transactional graph database well suited to connected data.
In this course, you will learn about Neo4j 3.x, one of the world’s leading graph database. You will begin by covering the basics and fundamental concepts of the graph database and its advantages of using it with the data modelling techniques. Neo4j is responsive, scalable, flexible and very optimized in performance. You can use it for artificial intelligence, fraud detection, graph-based search, network ops & security, and many other use cases.
By the end of this course, you will be confident in using Neo4j 3.x graph database to effectively handle a large volume of connected data.
The code bundle for this video course is available at https://github.com/PacktPublishing/Learning-Neo4j-3.x
- Understand the science of graph theory, databases and its advantages over traditional databases.
- Install Neo4j and learn the most common practices of traversing data
- Understand the problems while working with nodes and with large graphs of information
- Learn proper skills for data modelling and querying capabilities of graph databases
- Understand why relational databases are replaced by graph databases
- Learn Cypher Query Language that can be used for modifying, creating and deleting
To fully benefit from the coverage included in this course, you will need:
This course is for developers and aspiring data scientists who are new to graph analytics and who wish to use the power of Neo4j for their data in their applications. Basic concepts of database management and java will be desirable since Neo4j uses Java services.
If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.