Mastering Neo4j Graph Databases

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    Training Mode: Online

    Description

    Introduction for Mastering Neo4j Graph Databases:

    Welcome to Mastering Neo4j Graph Databases! In today’s data-driven world, the ability to effectively manage and analyze complex relationships is crucial for businesses and organizations. Traditional relational databases, while powerful, often struggle with the interconnectedness of data inherent in many real-world applications. This is where graph databases, particularly Neo4j, come into play. Neo4j is an open-source graph database designed to handle and visualize complex relationships between data entities, making it an ideal choice for applications that require fast querying and data traversal.

    Graph databases utilize a unique data structure known as the property graph model, where data is stored as nodes, relationships, and properties. Nodes represent entities, relationships depict the connections between those entities, and properties provide additional information about nodes and relationships. This structure allows for a more intuitive representation of data, making it easier to perform complex queries and gain insights into data connections.

    In this training course, participants will explore the fundamentals of graph databases and the specific features that make Neo4j a powerful tool for developers and data professionals. The course will cover the installation process, the Cypher query language, and the principles of graph data modeling. Learners will also gain hands-on experience in importing and exporting data, as well as visualizing graph structures.

    Table of content

    1.Introduction to Graph Databases

    1. Introduction to Graph Databases and Property Graph Model
    2. Comparative study between Graph Databases and RDBMS
    3. Comparative study between Graph Databases and NoSQL

    2.Introduction 

    1. Installation
    2. Highlights

    3.Introduction to Cypher

    1. Basic Syntax
    2. Clauses
    3. Functions
    4. Schema
    5. Query Optimisation
    6. Journey from SQL to Cypher

    4.Dealing with Data

    1. Graph Data Modelling
    2. Import/Export Data
    3. Graph Visualization

    5. Drivers and Tools

    1. Language Drivers
    2. Graph Visualization Tools
    3. Database Schema Management System
    4. Database Migration Tools

     

    For more inputs on Neo4j and Graph Databases you can connect here.
    Contact the L&D Specialist at Locus IT.

    Locus Academy has more than a decade experience in delivering the training, staffing on Neo4j and Graph Databases  for corporates across the globe. The participants for the training, staffing on Neo4j and Graph Databases  are extremely satisfied and are able to implement the learnings in their on going projects.

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    Neo4j is a graph database. A graph database, instead of having rows and columns has nodes edges and properties. It is more suitable for certain big data and analytics applications than row and column databases or free-form JSON document databases for many use cases. A graph database is used to represent relationships.

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