By Greg Jordan
Why have builders at areas like fb and Twitter more and more became to graph databases to control their hugely attached mammoth information? the quick solution is that graphs supply stronger velocity and suppleness to get the task done.
It’s time you additional abilities in graph databases for your toolkit. In sensible Neo4j, database professional Greg Jordan courses you thru the history and fundamentals of graph databases and will get you fast up and operating with Neo4j, the main in demand graph database out there at the present time. Jordan walks you thru the information modeling levels for initiatives comparable to social networks, advice engines, and geo-based purposes. The publication additionally dives into the configuration steps in addition to the language concepts used to create your Neo4j-backed applications.
Neo4j runs many of the greatest hooked up datasets on the earth, and constructing with it will give you a quick, confirmed NoSQL database alternative. in addition to these operating for social media, database, and networking businesses of all sizes, teachers and researchers will locate Neo4j a robust study device that could aid attach huge units of numerous information and supply insights that will differently stay hidden. utilizing functional Neo4j, you'll tips on how to harness that strength and create dependent suggestions that tackle advanced facts difficulties. This book:
Explains the fundamentals of graph databases
Demonstrates tips on how to configure and continue Neo4j
Shows how you can import facts into Neo4j from numerous sources
Provides a for instance of a Neo4j-based program utilizing an array of language of techniques together with Java, .Net, Hypertext Preprocessor, Python, Spring, and Ruby
As you’ll observe, Neo4j bargains a mix of simplicity and velocity whereas permitting info relationships to keep up top quality prestige. That’s one cause between many who one of these wide selection of industries and fields have became to graph databases to research deep, dense relationships. After interpreting this publication, you’ll have a powerful, based device you should use to enhance initiatives profitably and increase your profession options.
What you’ll learn
The fundamentals of graph databases, why you would like them & how they examine to different databases.
How to put in, configure and music Neo4j.
How to version your graph.
How to learn and write to Neo4j.
How to import facts into Neo4j from different information sources.
How to strengthen a Neo4j-based software utilizing quite a few languages.
Who this publication is for
Practical Neo4j is for know-how execs who're referred to as "full-stack" builders and sometimes tasked with not just modeling but in addition growing and holding the purposes for his or her respective startups or proven firms. It’s a concise advisor for the busy developer who has a inspiration of the significance of graph databases yet wishes sensible examples that follow to his or her selected language and applications’ wishes. sensible Neo4j is for the technical and knowledge architects who're searching for an alternative choice to take their "graphy" facts types from relational databases to a quicker, extra effective alternative like Neo4j. it's a nice source for information analysts or information scientists, akin to researchers and teachers within the box of bioinformatics, who search a greater realizing of the connections among current, huge and numerous datasets.
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Additional info for Practical Neo4j
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StatusId)} ) CREATE (u1)-[:FAVORITE]->(s1) After running the LOAD CSV command for favorites, run MATCH (a)-[:`FAVORITE`]->(b) RETURN a,b LIMIT 5 to see a small sample. The result should look like the one in Figure 5-6. 57 Chapter 5 ■ Importing from Another Data Source Figure 5-6. “Favorite” status updates by user Summary This chapter presented some of the processes for creating or moving data into Neo4j for application development and for migration of application data for an existing application.
The necessary values to be returned are specified at the end of the statement. ■■Note In the latest release of Neo4j, you should use MATCH as opposed to START when performing reading operations. In Listings 4-9 and 4-10, respectively, the SQL SELECT statement is modified slightly to return specific values, and the Cypher MATCH statement is used to perform a similar operation. Listing 4-9. SQL Query to SELECT a User SELECT fullname, email, username FROM User WHERE username = "greg" Listing 4-10.
Figure 3-12. Graph diagram with a user’s interests As you can see in Figure 3-13, adding a simple measurement for frequency is fairly trivial. Although adding the same measurement in the relational model is possible, the change would probably not happen as easily. More importantly, connecting people with those who have similar interests will be even easier and much faster as the degrees of connection begin to increase. Figure 3-13. Graph diagram with a user’s interests, including properties for the named relationship 31 Chapter 3 ■ Modeling Consumption Graph While the consumption graph is primarily focused on the items that one might purchase – whether it is a good or service – it also can be viewed from perspectives outside of pure commerce, such as the consumption of video content or other digital content.