- [Instructor] In this problem, we went through the process…of defining a graph data model based on an existing dataset.…We joined the data together in the graph…and queried across the dataset…to perform some statistical analysis.…For those familiar with SQL,…we saw that Cypher has very similar functionality…and syntax for things like string matching operators,…in this case we used contains,…and statistical functions like average.…But when we wrote the traversal part of our query,…we can see where Cypher is very different from SQL.…
In SQL, we'd need to write a couple of JOIN operations…to complete the task, introducing a join table.…But with Cypher in Neo4j,…we can simply express the graph pattern…that we want to match using this ASCII art syntax…for defining nodes in parentheses…and relationships in brackets.…The ability for Cypher to easily express these kinds…of graph patterns is something that makes using Neo4j…to solve these types of problems really powerful,…especially when we have…even more complex traversals to express.…
- Strengths and weaknesses of Neo4j
- Data modeling
- Creating a database
- Joining data sets
- Modeling data for joining data sets
- Searching a database
- CRUD operations
- Performing calculations
Skill Level Intermediate
1. Neo4j in Five Minutes
A brief overview of Neo4j3m 23s
2. Create a Database
3. Join Two Datasets
4. Search a Database
5. Create, Read, Update, and Delete Operations
6. Averages and Calculations
Next steps1m 44s
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