Learning Neo4j provides you with a step-by-step approach to adopting
Neo4j, the world's leading graph database. This video includes a lot of
background information, helps you grasp the fundamental concepts behind
this radical new way of dealing with connected data, and will give you
lots of examples of use cases and environments where a graph database
would be a great fit, starting with a brief introduction to graph
theory.
This video will show you the advantages of using graph
databases. Following on from that, you will be introduced to Neo4j and
you will be shown how to install Neo4j on various operating systems. You
will then be shown how you can model and import your data into Neo4j.
The video also includes a thorough introduction to the Cypher Query
Language and how it can be used to query Neo4j. You will also gain an
insight into graph visualization options for Neo4j and discover external
sources where you can learn more about Neo4j. By the end of this
comprehensive video, you will have a thorough understanding of the
fundamentals as well as the more advanced functionalities offered by
Neo4j, and can use them to build your own solutions.
About the Author :
Chris Fauerbach is an
avid learner and has been teaching technology in the classroom and
business setting since early college. Chris has been dreaming of a Neo4J
project for years. After spending countless hours learning the
technology, the problem finally arose. While developing a cyber security
program, the graph relationship turned out to be the right answer.
Relational databases would be too complicated with dynamic relationships
just wouldn't work.
He has been developing
software integration projects for over 20 years. He has a passion for
data enrichment, cyber security and full-text search and is a huge
proponent of open source software.
Chris has a bachelor’s
degree in computer science and a master’s degree in information systems.
Chris has written web applications, databases driven applications, big
data systems etc. He's an expert in languages from C to Python, HTML to
SQL.