[ FreeCourseWeb.com ] Learn Neo4j Database and Graph Algorithms
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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 1.26 GB | Duration: 4h 29m
What you'll learn
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 data
Use Neo4j graph algorithms library with your real data
Solve routing problems by finding paths inside a connected graph
Create a group of nodes sharing common properties, aka communities
Build a recommendation system using similarity measurement between nodes
Requirements
No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily.
Description
With increase in complexity of data relationships, graph databases are quickly becoming the de-facto standard for organizations who manage large volumes of connected data. Neo4j is a graph database that allows traversing huge amounts of data with ease. It is the world's leading graph database management system which is designed for optimizing fast management, storage, and traversal of nodes and relationships.
Starting with a brief introduction to graph theory, this course will show you the advantages of using graph databases along with data modelling techniques for graph databases. You will gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. You will learn to use it for artificial intelligence, fraud detection, graph-based search, network ops & security, and many other use cases.
Furthermore, you will learn the important graph algorithms which are used in Neo4j’s graph analytics platform wherein you will explore various high-performance graph algorithms that help reveal hidden patterns and structures in your connected data. You will also gain skills to use the algorithms efficiently to understand, model, and predict complicated dynamics.
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