Neo4j Extensions

Each and every tool or product leaves something lacking for a particular functionality or use case, and developers are often required to build their own solutions to fit the need and write extra code each time a new gap presents itself. However, some technologies make it easier than others to write code for extensibility. Learn how Neo4j (the leading graph database) allows developers access to additional libraries for extending core functionality and integrating with familiar technologies. Find out how you can use added Java libraries for solutions to common problems, write custom procedures and functions for certain edge cases, import and export various types of data, connect to applications in nearly any programming language, refactor your data, and explore areas of data science or ML. Simple integrations with vendor tools can allow developers to create beautiful visualizations, enhance monitoring, allow data searching, and move data by utilizing existing pieces of the development process to expand the capabilities of those tools. Find out how extensions can increase existing functionality and how you can continue to expand it.

Transcript

1. Using Powerful Extensions in Neo4j Jennifer Reif Neo4j Developer Relations Engineer @JMHReif
2. Neo4j Developer Surface Native LanguageDrivers BOLT User Defined Procedure 2000-2010 0.x Embedded Java API 2010-2014 1.x REST 2014-2015 2.x Cypher over HTTP 2016 3.0.x Bolt, Official Language Drivers, User Defined Procedures 2016 3.1.x User Defined Functions 2017 3.2.x User Defined Aggregation Functions
3. Neo4j Developer Surface Native LanguageDrivers BOLT User Defined Procedure 2000-2010 0.x Embedded Java API 2010-2014 1.x REST 2014-2015 2.x Cypher over HTTP 2016 3.0.x Bolt, Official Language Drivers, User Defined Procedures 2016 3.1.x User Defined Functions 2017 3.2.x User Defined Aggregation Functions
4. Neo4j Bolt Drivers
5. Official Drivers
6. Community Drivers
8. Neo4j Developer Surface Native LanguageDrivers BOLT User Defined Procedure 2000-2010 0.x Embedded Java API 2010-2014 1.x REST 2014-2015 2.x Cypher over HTTP 2016 3.0.x Bolt, Official Language Drivers, User Defined Procedures 2016 3.1.x User Defined Functions 2017 3.2.x User Defined Aggregation Functions
9. Procedures 
 Functions
 Aggregate Functions
10. Can be written in any JVM language
11. User-Defined Procedures 11
12. Callable as Stand-Alone and in Cypher Statements
13. CALL example.search('User','name:Brook*')
14. public class FullTextIndex { @Context public GraphDatabaseService db; @Procedure( name = "example.search", mode = Procedure.Mode.READ ) public Stream<SearchHit> search( @Name("index") String index, 
 @Name("query") String query ) { if( !db.index().existsForNodes( index )) { return Stream.empty(); } return db.index().forNodes( index ).query( query ).stream()
 .map( SearchHit::new ); } public static class SearchHit { public final Node node; SearchHit(Node node) { this.node = node; } } }
15. public class FullTextIndex { @Context public GraphDatabaseService db; @Procedure( name = "example.search", mode = Procedure.Mode.READ ) public Stream<SearchHit> search( @Name("index") String index, 
 @Name("query") String query ) { if( !db.index().existsForNodes( index )) { return Stream.empty(); } return db.index().forNodes( index ).query( query ).stream()
 .map( SearchHit::new ); } public static class SearchHit { public final Node node; SearchHit(Node node) { this.node = node; } } }
16. public class FullTextIndex { @Context public GraphDatabaseService db; @Procedure( name = "example.search", mode = Procedure.Mode.READ ) public Stream<SearchHit> search( @Name("index") String index, 
 @Name("query") String query ) { if( !db.index().existsForNodes( index )) { return Stream.empty(); } return db.index().forNodes( index ).query( query ).stream()
 .map( SearchHit::new ); } public static class SearchHit { public final Node node; SearchHit(Node node) { this.node = node; } } }
17. try ( Driver driver = GraphDatabase.driver("bolt://localhost", Config.build().toConfig()) ) { try ( Session session = driver.session() ) { String call = "CALL example.search('User',$query)"; Map<String,Object> params = singletonMap("query", "name:Brook*"); StatementResult result = session.run(call, params); while ( result.hasNext() ) { // process results } } }
18. try ( Driver driver = GraphDatabase.driver("bolt://localhost", Config.build().toConfig()) ) { try ( Session session = driver.session() ) { String call = "CALL example.search('User',$query)"; Map<String,Object> params = singletonMap("query", "name:Brook*"); StatementResult result = session.run(call, params); while ( result.hasNext() ) { // process results } } }
19. User-Defined Functions 19
20. Useable in any Cypher expression or lightweight 
 computation
21. RETURN example.join(['Hello','World'],' ') => "Hello World"
22. public class Join { @UserFunction @Description("example.join(['s1','s2',...], delimiter) - join the given strings with the given delimiter.") public String join( @Name(“strings") List<String> strings, @Name(value = "delimiter", defaultValue = ",") String delimiter) { if ( strings == null || delimiter == null ) { return null; } return String.join( delimiter, strings ); } }
23. public class Join { @UserFunction @Description("example.join(['s1','s2',...], delimiter) - join the given strings with the given delimiter.") public String join( @Name("strings") List<String> strings, @Name(value = "delimiter", defaultValue = ",") String delimiter) { if ( strings == null || delimiter == null ) { return null; } return String.join( delimiter, strings ); } }
24. public class Join { @UserFunction @Description("example.join(['s1','s2',...], delimiter) - join the given strings with the given delimiter.") public String join( @Name("strings") List<String> strings, @Name(value = "delimiter", defaultValue = ",") String delimiter) { if ( strings == null || delimiter == null ) { return null; } return String.join( delimiter, strings ); } }
25. try ( Driver driver = GraphDatabase.driver( "bolt://localhost", 
 Config.build().toConfig() ) ) { try ( Session session = driver.session() ) { String query = "RETURN example.join(['Hello','World']) AS result"; String result = session.run( query ) .single().get( "result" ).asString(); } }
26. User-Defined Aggregation Functions 26
27. Custom, efficient aggregations for Data Science and BI
28. UNWIND ['abc', 'abcd', 'ab'] AS string
 RETURN example.longestString(string) => 'abcd'
29. public class LongestString { @UserAggregationFunction @Description( "aggregates the longest string found" ) public LongStringAggregator longestString() { return new LongStringAggregator(); } public static class LongStringAggregator { private int longest; private String longestString; @UserAggregationUpdate public void findLongest( @Name( "string" ) String string ) { if ( string != null && string.length() > longest) { longest = string.length(); longestString = string; } } @UserAggregationResult public String result() { return longestString; } } }
30. public class LongestString { @UserAggregationFunction @Description( "aggregates the longest string found" ) public LongStringAggregator longestString() { return new LongStringAggregator(); } public static class LongStringAggregator { private int longest; private String longestString; @UserAggregationUpdate public void findLongest( @Name( "string" ) String string ) { if ( string != null && string.length() > longest) { longest = string.length(); longestString = string; } } @UserAggregationResult public String result() { return longestString; } } }
31. public class LongestString { @UserAggregationFunction @Description( "aggregates the longest string found" ) public LongStringAggregator longestString() { return new LongStringAggregator(); } public static class LongStringAggregator { private int longest; private String longestString; @UserAggregationUpdate public void findLongest( @Name( "string" ) String string ) { if ( string != null && string.length() > longest) { longest = string.length(); longestString = string; } } @UserAggregationResult public String result() { return longestString; } } }
32. public class LongestString { @UserAggregationFunction @Description( "aggregates the longest string found" ) public LongStringAggregator longestString() { return new LongStringAggregator(); } public static class LongStringAggregator { private int longest; private String longestString; @UserAggregationUpdate public void findLongest( @Name( "string" ) String string ) { if ( string != null && string.length() > longest) { longest = string.length(); longestString = string; } } @UserAggregationResult public String result() { return longestString; } } }
33. try ( Driver driver = GraphDatabase.driver("bolt://localhost", 
 Config.build().toConfig()) ) { try ( Session session = driver.session() ) { String query = "UNWIND ['abc', 'abcd', 'ab'] AS string " + "RETURN example.longestString(string) AS result"; String result = session.run(query).single().get("result").asString(); } }
36. Awesome Procedures On Cypher
38. > 400 procedures and functions
40. Install at Project Level Install at Database Level
41. Data Integration
42. Load from a relational database
43. apoc.load.jdbc WITH "jdbc:mysql://localhost:3306/northwind?user=root" AS url CALL apoc.load.jdbc(url,"products") 
 YIELD row MERGE (p:Product {id: row.ProductID}) SET p.name = row.ProductName, p.unitPrice = row.UnitPrice
44. WITH "jdbc:mysql://localhost:3306/northwind?user=root" AS url CALL apoc.load.jdbc(url,"products") 
 YIELD row MERGE (p:Product {id: row.ProductID}) SET p.name = row.ProductName, p.unitPrice = row.UnitPrice Execute procedure
45. Apply Cypher transformation WITH "jdbc:mysql://localhost:3306/northwind?user=root" AS url CALL apoc.load.jdbc(url,"products") 
 YIELD row MERGE (p:Product {id: row.ProductID}) SET p.name = row.ProductName, p.unitPrice = row.UnitPrice
46. Load XML
47. apoc.load.xml CALL apoc.load.xml('http://overpass.osm.rambler.ru/cgi/xapi_meta *[bbox=11.54,48.14,11.543,48.145]') YIELD value UNWIND value["_children"] AS child WITH child WHERE child["_type"] = "node" WITH child.id AS id, 
 child.lat AS latitude, 
 child.lon AS longitude, 
 child["user"] AS userName MERGE (point:Point {id: id}) SET point.latitude = latitude, 
 point.longitude = longitude MERGE (user:User {name: userName}) MERGE (user)-[:EDITED]->(point)
48. Execute procedure CALL apoc.load.xml('http://overpass.osm.rambler.ru/cgi/xapi_meta? *[bbox=11.54,48.14,11.543,48.145]') YIELD value UNWIND value["_children"] AS child WITH child WHERE child["_type"] = "node" WITH child.id AS id, 
 child.lat AS latitude, 
 child.lon AS longitude, 
 child["user"] AS userName MERGE (point:Point {id: id}) SET point.latitude = latitude, 
 point.longitude = longitude MERGE (user:User {name: userName}) MERGE (user)-[:EDITED]->(point)
49. UNWIND the array of elements CALL apoc.load.xml('http://overpass.osm.rambler.ru/cgi/xapi_meta? *[bbox=11.54,48.14,11.543,48.145]') YIELD value UNWIND value["_children"] AS child WITH child WHERE child["_type"] = "node" WITH child.id AS id, 
 child.lat AS latitude, 
 child.lon AS longitude, 
 child["user"] AS userName MERGE (point:Point {id: id}) SET point.latitude = latitude, 
 point.longitude = longitude MERGE (user:User {name: userName}) MERGE (user)-[:EDITED]->(point)
50. Filter rows CALL apoc.load.xml('http://overpass.osm.rambler.ru/cgi/xapi_meta? *[bbox=11.54,48.14,11.543,48.145]') YIELD value UNWIND value["_children"] AS child WITH child WHERE child["_type"] = "node" WITH child.id AS id, 
 child.lat AS latitude, 
 child.lon AS longitude, 
 child["user"] AS userName MERGE (point:Point {id: id}) SET point.latitude = latitude, 
 point.longitude = longitude MERGE (user:User {name: userName}) MERGE (user)-[:EDITED]->(point)
51. Apply Cypher transformation CALL apoc.load.xml('http://overpass.osm.rambler.ru/cgi/xapi_meta? *[bbox=11.54,48.14,11.543,48.145]') YIELD value UNWIND value["_children"] AS child WITH child WHERE child["_type"] = "node" WITH child.id AS id, 
 child.lat AS latitude, 
 child.lon AS longitude, 
 child["user"] AS userName MERGE (point:Point {id: id}) SET point.latitude = latitude, 
 point.longitude = longitude MERGE (user:User {name: userName}) MERGE (user)-[:EDITED]->(point)
52. Load JSON
53. apoc.load.json WITH "https://api.stackexchange.com/2.2/questions? pagesize=100&order=desc&sort=creation&tagged=neo4j&site=stackoverflow&filter=!5-i6Zw8Y)4W7vpy91PMYsKM- k9yzEsSC1_Uxlf" AS url CALL apoc.load.json(url) YIELD value UNWIND value.items AS q MERGE (question:Question {id:q.question_id}) 
 ON CREATE SET question.title = q.title, 
 question.share_link = q.share_link, 
 question.favorite_count = q.favorite_count MERGE (owner:User {id:q.owner.user_id}) 
 ON CREATE SET owner.display_name = q.owner.display_name
 MERGE (owner)-[:ASKED]->(question) FOREACH (tagName IN q.tags | 
 MERGE (tag:Tag {name:tagName}) MERGE (question)-[:TAGGED]->(tag))
 FOREACH (a IN q.answers | MERGE (question)<-[:ANSWERS]-(answer:Answer {id:a.answer_id}) MERGE (answerer:User {id:a.owner.user_id}) 
 ON CREATE SET answerer.display_name = a.owner.display_name 
 MERGE (answer)<-[:PROVIDED]-(answerer))
54. WITH "https://api.stackexchange.com/2.2/questions?pagesize=100&order=desc&sort=creation&tagged=neo4j&site=stackoverflow&filter=!5- i6Zw8Y)4W7vpy91PMYsKM-k9yzEsSC1_Uxlf" AS url CALL apoc.load.json(url) YIELD value UNWIND value.items AS q MERGE (question:Question {id:q.question_id}) 
 ON CREATE SET question.title = q.title, 
 question.share_link = q.share_link, 
 question.favorite_count = q.favorite_count MERGE (owner:User {id:q.owner.user_id}) 
 ON CREATE SET owner.display_name = q.owner.display_name
 MERGE (owner)-[:ASKED]->(question) FOREACH (tagName IN q.tags | 
 MERGE (tag:Tag {name:tagName}) MERGE (question)-[:TAGGED]->(tag))
 FOREACH (a IN q.answers | MERGE (question)<-[:ANSWERS]-(answer:Answer {id:a.answer_id}) MERGE (answerer:User {id:a.owner.user_id}) 
 ON CREATE SET answerer.display_name = a.owner.display_name 
 MERGE (answer)<-[:PROVIDED]-(answerer)) Use FOREACH for arrays within a row
55. Graph Refactoring
56. apoc.refactor.mergeNodes MATCH (n:Person) WITH n.email AS email, collect(n) as people WHERE size(people) > 1 CALL apoc.refactor.mergeNodes(people) YIELD node RETURN node
57. apoc.refactor.mergeNodes MATCH (n:Person) WITH n.email AS email, collect(n) as people WHERE size(people) > 1 CALL apoc.refactor.mergeNodes(people) YIELD node RETURN node
58. apoc.create.addLabels MATCH (n:Movie) CALL apoc.create.addLabels( id(n), [ n.genre ] ) YIELD node REMOVE node.genre RETURN node
59. apoc.create.addLabels MATCH (n:Movie) CALL apoc.create.addLabels( id(n), [ n.genre ] ) YIELD node REMOVE node.genre RETURN node
60. Cypher Execution
61. Run large scale updates CALL apoc.periodic.iterate( 'MATCH (n:Person) RETURN n', 'SET n.name = n.firstName + " " + n.lastName',
 {batchSize:10000, parallel:true})
62. Utility Functions
63. Compute soundex encoding of a string CALL apoc.text.phonetic('Hello, dear User!') YIELD value RETURN value 
 // will return 'H436'
64. How similar do two strings sound? CALL apoc.text.phoneticDelta(
 'Hello Mr Rabbit', 'Hello Mr Ribbit') 
 // will return '4' (very similar)
65. Extract domain names WITH 'http://www.example.com/all-the-things' AS url RETURN apoc.data.domain(url) // will return 'www.example.com'
66. Date to Timestamp RETURN apoc.date.parse(
 '2015/03/25 03:15:59',
 's', 
 'yyyy/MM/dd HH:mm:ss'
 )
 
 // will return 1427253359
67. Timestamp to Date RETURN apoc.date.format(
 1427253359, 
 's', 
 'yyyy/MM/dd HH:mm:ss'
 ) 
 // will return "2015/03/25 03:15:59"
68. And many more! https://neo4j-contrib.github.io/neo4j-apoc-procedures/
69. RDF and Graphs
72. Import RDF triples
73. semantics.importRDF CALL semantics.importRDF("file:///industry.ntriples","N-Triples", {})
74. Thomson Reuters' OpenPermID Graph
75. Graph Aided Search
79. com.graphaware.runtime.enabled=true
 
 #ES becomes the module ID:
 com.graphaware.module.ES. 2=com.graphaware.module.es.ElasticSearchModuleBootstrapper
 
 #URI of Elasticsearch
 com.graphaware.module.ES.uri=localhost
 
 #Port of Elasticsearch
 com.graphaware.module.ES.port=9201 conf/neo4j.conf
80. CALL ga.es.queryNode(‘{\"query\": {\"match\": {\"name\":=\"alessandro\"}}}') YIELD node, score RETURN node, score Find nodes
81. CALL ga.es.queryRelationship('{\"query\":
 {\"match\":{\"city\":\"paris\"}}}') YIELD relationship, score RETURN relationship, score Find relationships
82. dzone.com/refcardz/graph-powered-search-neo4j-amp-elasticsearch
83. Versioned Graphs
86. CALL graph.versioner.init('Person', 
 {ssn: 123456789, name: 'Marco'}, 
 {address: 'Via Roma 11'}
 ) Create node
87. CALL graph.versioner.init('Person', 
 {ssn: 123456789, name: 'Marco'}, 
 {address: 'Via Roma 11'}
 ) Immutable properties
88. CALL graph.versioner.init('Person', 
 {ssn: 123456789, name: 'Marco'}, 
 {address: 'Via Roma 11'}
 ) State properties
89. MATCH (p:Person {name: "Marco"}) WITH p CALL graph.versioner.update(p, {address: 'Via Roma 12'}) YIELD node RETURN node Update state
90. MATCH (p:Person {name: "Marco"}) WITH p CALL graph.versioner.update(p, {address: 'Via Roma 12'}) YIELD node RETURN node Pass in the new state
91. Spatial
93. CALL spatial.addWKTLayer('geom', 'wkt') Create spatial index
94. CREATE (d:District {...}) SET d.wkt = 'MULTIPOLYGON(((23.22, ... )))' Add spatial property to nodes
95. MATCH (d:District) WITH collect(d) AS districts CALL spatial.addNodes('geom', districts) YIELD node RETURN count(*) Add nodes to spatial index
96. CALL spatial.withinDistance('geom',
 {latitude: 37.563440, longitude: -122.322265}, 1) 
 YIELD node AS d WITH d, d.wkt AS wkt, d.state AS state, d.district AS district LIMIT 1 MATCH (d)<-[:REPRESENTS]-(l:Legislator) MATCH (l)-[:SERVES_ON]->(c:Committee) MATCH (c)<-[:REFERRED_TO]-(b:Bill) MATCH (b)-[:DEALS_WITH]->(s:Subject) RETURN * Query nodes by location
97. CALL spatial.withinDistance('geom',
 {latitude: 37.563440, longitude: -122.322265}, 1) 
 YIELD node AS d WITH d, d.wkt AS wkt, d.state AS state, d.district AS district LIMIT 1 MATCH (d)<-[:REPRESENTS]-(l:Legislator) MATCH (l)-[:SERVES_ON]->(c:Committee) MATCH (c)<-[:REFERRED_TO]-(b:Bill) MATCH (b)-[:DEALS_WITH]->(s:Subject) RETURN * Finds nodes within 1km
98. CALL spatial.withinDistance('geom',
 {latitude: 37.563440, longitude: -122.322265}, 1) 
 YIELD node AS d WITH d, d.wkt AS wkt, d.state AS state, d.district AS district LIMIT 1 MATCH (d)<-[:REPRESENTS]-(l:Legislator) MATCH (l)-[:SERVES_ON]->(c:Committee) MATCH (c)<-[:REFERRED_TO]-(b:Bill) MATCH (b)-[:DEALS_WITH]->(s:Subject) RETURN * Continue with the rest of the query
99. lyonwj.com/2016/08/09/neo4j-spatial-procedures- congressional-boundaries/
100. Graph-Based 
 Machine Learning
103. CREATE (n:News) SET n.text = "Scores of people were already lying dead or injured inside a crowded Orlando nightclub, and the police had spent hours trying to connect with the gunman and end the situation without further violence. But when Omar Mateen threatened to set off explosives, the police decided to act, and pushed their way through a wall to end the bloody standoff." Annotating text
104. MATCH (n:News) CALL ga.nlp.annotate({text: n.text, id: id(n)}) YIELD result MERGE (n)-[:HAS_ANNOTATED_TEXT]->(result) RETURN result Annotating text
105. MATCH (n:News) CALL ga.nlp.annotate({text: n.text, id: id(n)}) YIELD result MERGE (n)-[:HAS_ANNOTATED_TEXT]->(result) RETURN result Execute procedure
106. MATCH (n:News) CALL ga.nlp.annotate({text: n.text, id: id(n)}) YIELD result MERGE (n)-[:HAS_ANNOTATED_TEXT]->(result) RETURN result Relate to text node
108. Graph Algorithms
109. Insights from Algorithms
110. Graph of Thrones
111. Graph of Thrones
112. Single Source Short Path All Pairs SSP Parallel BFS / DFS Strongly Connected Components Union Find / WCC Label Propagation Louvain Triangle-Count / Clustering Coefficent PageRank (baseline) Betweeness Closeness Degree
113. Install at Project Level Install at Database Level
114. Graph Algorithms Sandbox neo4j.com/sandbox
115. Graph Visualization 115
119. var viz; function draw() { var config = { container_id: "viz", server_url: "bolt://localhost:7687", server_user: "neo4j", server_password: "sorts-swims-burglaries", labels: { "Character": { "caption": "name", "size": "pagerank", "community": "community" } }, relationships: { "INTERACTS": { "thickness": "weight", "caption": false } }, initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *" }; viz = new NeoVis.default(config); viz.render(); }
120. var viz; function draw() { var config = { container_id: "viz", server_url: "bolt://localhost:7687", server_user: "neo4j", server_password: "sorts-swims-burglaries", labels: { "Character": { "caption": "name", "size": "pagerank", "community": "community" } }, relationships: { "INTERACTS": { "thickness": "weight", "caption": false } }, initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *" }; viz = new NeoVis.default(config); viz.render(); }
121. var viz; function draw() { var config = { container_id: "viz", server_url: "bolt://localhost:7687", server_user: "neo4j", server_password: "sorts-swims-burglaries", labels: { "Character": { "caption": "name", "size": "pagerank", "community": "community" } }, relationships: { "INTERACTS": { "thickness": "weight", "caption": false } }, initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *" }; viz = new NeoVis.default(config); viz.render(); }
122. GraphQL
123. GraphQL is a query language for your API, and a server- side runtime for executing queries by using a type system you define for your data. What is it?
124. GraphQL is a query language for your API, and a server- side runtime for executing queries by using a type system you define for your data. What is it?
125. GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. What is it?
126. GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. What is it? type Planet {
 name: String
 climate: String
 } type Character {
 name: String
 friends: [Character]
 homeWorld: Planet
 species: Species
 } type Species {
 name: String
 lifespan: Int
 origin: Planet
 }
127. Manual mapping code
129. Auto translating GraphQL → Cypher github.com/neo4j-graphql/neo4j-graphql github.com/neo4j-graphql/neo4j-graphql-js
130. Server Side Extension
132. dbms.unmanaged_extension_classes=org.neo4j.graphql=/graphql
 dbms.security.procedures.whitelist=graphql.* conf/neo4j.conf
133. CALL graphql.idl('
 type Movie { title: String! released: Int actors: [Person] @relation(name:"ACTED_IN",direction:IN) } type Person { name: String! born: Int movies: [Movie] @relation(name:"ACTED_IN") }' )
134. WITH '{ Person(born: 1961) { name, born } }' as query, {} as params CALL graphql.execute(query,params) 
 YIELD result UNWIND result.Person as p RETURN p.name, p.born
135. JavaScript Library
137. The GRAND stack
138. The GRAND stack GraphQL
 React
 Apollo
 Neo4j Database
139. import {neo4jgraphql} from 'neo4j-graphql-js'; const resolvers = { Query: { Movie(object, params, ctx, resolveInfo) { return neo4jgraphql(object, params, ctx, resolveInfo); } } };
140. dzone.com/refcardz/an-overview-of-graphql
141. How do I find out about more cool stuff??
143. This Week in Neo4j - Developer Update neo4j.com/tag/twin4j
144. Get Dressed: Neo4j Graph Gear Store graphgearstore.com
145. devrel@neo4j.com @neo4j jennifer.reif@neo4j.com @jmhreif