Getting started with Graph Databases & Neo4j
Upcoming SlideShare
Loading in...5
×
 

Like this? Share it with your network

Share

Getting started with Graph Databases & Neo4j

on

  • 1,608 views

The presentation gives a brief information about Graph Databases and its usage in today's scenario. Moving on the presentation talks about the popular Graph DB Neo4j and its Cypher Query Language ...

The presentation gives a brief information about Graph Databases and its usage in today's scenario. Moving on the presentation talks about the popular Graph DB Neo4j and its Cypher Query Language i.e., used to query the graph.

Statistics

Views

Total Views
1,608
Views on SlideShare
1,597
Embed Views
11

Actions

Likes
6
Downloads
62
Comments
0

1 Embed 11

https://twitter.com 11

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Getting started with Graph Databases & Neo4j Presentation Transcript

  • 1. Getting started with Graph Databases & Neo4j Suroor Wijdan @wotthetech
  • 2. Agenda for Today ● Intro to Graph Databases ● Who is using graph databases? ● What is Neo4j? ● MongoDB vs Neo4j? ● Nodes and Relationships ● Cypher Query Language ● CRUD operations in CQL ● Project Use Case ● Questions? ● Exercises
  • 3. What is NoSQL? ● NoSQL stands for “Not Only SQL” ● Some questions which you can ask to database: ○ What is my Average Income? ○ What Items I have in his Shopping Cart? ○ How did I get into this session? - Ask a RDBMS - Ask a Key Value Store - Ask a Graph
  • 4. Intro to Graph Databases Graph is everywhere ● Graph Databases present a new perspective on the same type of data. ● Graph is the most generic type of data structure capable of storing data in highly accessible way ● Suitable for any kind of data that is related ● Graph databases are optimized for the relations between records ● a graph containing Nodes & Relationships ● with both having Properties ● verily perfect for complex and highly connected data Important Quote
  • 5. A Quote.... “A relational database may tell you how much your customer has spent at your store” “but” “a graph database will tell your customers what should they buy next”
  • 6. Who is using Graph Databases? ● Some big names using Graph Databases: ○ Facebook - Open Graph Database ○ Google - Knowledge Graph ○ Twitter - FlockDB distributed graph Database ○ Adobe ○ Glassdoor ○ JustDial ○ CareerBuilder ○ Indiatimes ○ telenor ○ Hellwet Packard ○ T-Mobile ○ Cisco ALL THESE USE
  • 7. What is Neo4j? ● Neo4j is a robust property graph database ● Fully Transactional (ACID) ● Highly Agile ● Best suited for data which is highly connected ● Is supremely fast when it comes to querying connected data ● The most popular graph database in the world ● Highly scalable, up to several billion nodes/relationships/properties
  • 8. What is Neo4j? ● Neo4j allows infinite depth ● Uses Cypher Query Language for querying, also has Java and REST API’s ● Human Readable Queries ● Data Modelling in Neo4j : ○ The whole model relies on the questions we have to ask our database ○ Very easily done, even when designing domains in SQL we tend to make graphs on whiteboards ● Neo4j helps us derive patterns from our data
  • 9. MongoDB vs Neo4j MongoDB is meant for cases where you would like to have dynamic queries on quite a size of data. - Not capable of handling relationships Neo4j is best suitable in use cases where you have complex relationships and data which is highly connected. Neo4j can help you find routes, social patterns, etc. from your data. - Not Horizontally Scalable (as of now)
  • 10. Nodes and Relationships ● A minimal graph can consist of a single node with properties defined on it. ● A Property graph has Nodes and Relationships with properties defined on them. ● node ( vertex) ● relationship (edge) :- with direction ● property(attribute) :- on nodes and relationships Lets see an example: -
  • 11. Nodes and Relationships Da Vinci Code Dan Brown Manoj Roni The Lost Symbol Gone with the Wind Suspense Thriller
  • 12. Nodes and Relationships Da Vinci Code Dan Brown Manoj Roni The Lost Symbol Harry Potter Suspense Thriller Authored By Read By Friendswith Authored By Recommends Belongs To BelongsTo Belongs To Release Date Recom m ends J.K Rowling Authored By An Example of Book Store with Recommendations
  • 13. Cypher Query Language ● Is a declarative query language for querying Neo4j ● Expressive and Human readable syntax ● Matches patterns of nodes and relationships to extract/modify information in the graph ● With cypher, we can create, update, remove nodes, relationships and properties ● Has an online console at http://www.neo4j. org/console ● Has a short learning curve due to similarities with SQL query statements
  • 14. Cypher Query Language Create a Node: CREATE (n:User { fname:"Manoj", lname:“Nama” }); ● User is the Label ● n is the variable for new node ● {} brackets to add properties to the node
  • 15. Cypher Query Language Read Properties of a Node: MATCH (n:User) WHERE n.fname = “Manoj” RETURN n ● User is the Label ● n is the variable for node ● WHERE to restrict the result to our criteria ● RETURN the properties on the node
  • 16. Cypher Query Language Update property on a Node: MATCH (user:User) WHERE user.fname = 'Manoj' SET user.lname = ‘Mohan’ RETURN user.fname, user.lname; ● User is the Label ● Restricts search to the nodes under USER label ● SET adds a new property to the node ● RETURN clause indicates what data to return
  • 17. Cypher Query Language Delete a Node: MATCH (user:User) WHERE user.fname = 'Emily' DELETE user ● User is the Label ● Restricts search to the nodes under USER label ● DELETE clause deletes a node from graph ● RETURN clause indicates what data to return
  • 18. Cypher Query Language Set a new property on a Node after creation: MATCH (user:User) WHERE user.name = 'Roni' SET user.country = ‘India’ RETURN user.name, user.country; ● User is the Label ● Restricts search to the nodes under USER label ● SET adds or updates a property on a node ● RETURN clause indicates what data to return
  • 19. Cypher Query Language Find a node in CQL START n=node(*) WHERE HAS (n.name) AND n.name = "Roni" RETURN n; ● START clause to begin a query ● n=node(*) to search through all nodes ● WHERE clause to constrain the results ● n.name indicates the name property must exist ● = "Roni" compares an existing name to the value Roni ● RETURN clause requests particular results
  • 20. Steps to get a Neo4j server up & running (Linux) Run the following commands in Terminal: ● sudo bash ● wget -O - http://debian.neo4j. org/neotechnology.gpg.key | apt-key add - ● echo 'deb http://debian.neo4j.org/repo stable/' > /etc/apt/sources.list.d/neo4j. list ● apt-get install neo4j ● start neo4j server, available at http: //localhost:7474 of the machine neo4j start
  • 21. Neo4j Web Admin
  • 22. References 1. Online Manual - http://docs.neo4j.org/chunked/milestone/ 2. Online Cypher Console - http://console.neo4j.org 3. Cypher Cheat Sheet - http://docs.neo4j.org/refcard/1.9/ 4. Graph image taken from - http://www.neo4j.org
  • 23. THANKS! Get in touch for any queries : twitter: @wotthetech github: suroorwijdan PS: You are free to share this ppt but give due credit to the creator wherever used.