Neo4j Graph Databases with Cypher- Game of Thrones Edition
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 467 MB
Duration: 1 hours | Genre: eLearning Video | Language: English
Learn to model data with graph databases, get a deep understanding of Neo4j, NOSQL with super fun Game of thrones data.

What you'll learn

Cypher Query Language
Complex Queries
Data Modeling Patterns
Importing Graph Databases For CSV Files
NOSQL
Game Of Thrones Data Insights

Requirements

No prerequisites

Description

Welcome to the complete neo4j-Cypher master course - GAMES OF THRONES EDITION.
This fully updated course is the most comprehensive neo4j course to help guide you from zero to hero in learning neo4j.

We designed this course to not only be your best resource for learning neo4j but to be also the most enjoyable coding course out there- so the entire course is based on fascinating game of thrones databases.

What you'll learn in the course:

What are Graph Databases, NOSQL

Setup Neo4j development environment

Basic Cypher Programming language (Suitable form complete beginners or developers who need some recap)

Data modelling patterns

Complex queries that require deep thinking

Importing and working with databases

All along the way you'll have fully interactive exercises to test your understanding, along with quick check ins with built in quizzes, to make sure you fully understanding all the material.
You will have a Practical foundation to build your application using Cypher and Gain real time insights from your data.

Who is this course for?

Complete beginners.

Programmers who are experienced in another language and now wants to pick up a new skill of Cypher neo4j.

Programmers who know basic neo4j and cypher (usually full stack developers) and now want to level up their skills with advanced practice available in this course.

Who this course is for:

Have a general understating of programming languages
Beginner developers curious about graph databases
Full stack developers who want to step up their toolkit



Download link:
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