English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 1h 25m | 748 MB

Data is at the core of almost everything we do in the modern world, and at this point in the evolution of data, it’s not just the raw data that’s important, it’s also how different data is connected, and why. While common databases like relational databases and document databases sometimes struggle to illustrate the deep connections of data, graph databases are designed precisely for understanding these relationships, and treat the connections between data as important as the data itself. In this course, Ljubica Lazarevic teaches you what exactly graph databases are, why they’re so powerful, and when to use them. She provides interactive, hands-on lessons using Neo4j, a leading graph database management system. If you’re trying to figure out a connected data problem, looking to understand how to spot one, or just want to learn about graph databases, check out this course.

## Table of Contents

**Introduction**

1 Navigating the world of connected data

**Introduction**

2 What are graph databases

3 Types of graph structures for data

4 Why graph databases

5 Good graph database use cases and bad graph database use cases

6 Introducing Neo4j A property graph database

7 Challenge Is this a connected data problem

8 Solution Is this a connected data problem

**Getting Started**

9 Anatomy of a property graph

10 Getting up and running with Neo4j

11 Hello, world!

12 Introducing Cypher

13 Challenge Your first Cypher queries

14 Solution Your first Cypher queries

**Reading Data**

15 Introducing the course data set

16 MATCHing nodes

17 MATCHing nodes and relationships

18 Counting and aggregating data

19 Beyond one hop

20 Challenge Time to answer some questions

21 Solution Time to answer some questions

**Writing Data**

22 CREATEing your data

23 Updating and REMOVEing your data

24 DELETEing your data

25 Challenge Putting it all together

26 Solution Putting it all together

**Conclusion**

27 What’s next

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