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Implementing a Knowledge Hub with Neo4j
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Implementing a Knowledge Hub with Neo4j
1.
© PRODYNA AG
2016 Slide 1 PRODYNA IMPLEMENTATION AND LIVE DEMO
2.
© PRODYNA AG
2016 Slide 2 MAY I INTRODUCE MYSELF ABOUT ME § Darko Križić § Chief Technology Officer (CTO)
3.
© PRODYNA AG
2016 Slide 3 § “Background story” § Crop Science § Bought 50 local companies worldwide § Problem § All data into one application § Overview § Business Intelligence MIGRATION FROM “MAKTESHIM-AGAN” TO “ADAMA” ABOUT THE CUSTOMER
4.
© PRODYNA AG
2016 Slide 4 § ADAMA sells crop protection products § Those products are sold under different names in different countries § Each product offers treatments for a combination of diseases on plants THE ORIGINAL STATE
5.
© PRODYNA AG
2016 Slide 5 THE REQUIREMENTS § You want to have a single database that contains § All products § All registrations § This application is called the Knowledge base § Data about 56 countries § Multilingual in about 27 languages § ADAMA wants to do Business Intelligence (BI) § For example: Compare products in countries
6.
© PRODYNA AG
2016 Slide 6 § The Neo4j query language Cypher is very powerful § But not suitable for end users § The database contains about 6 million nodes and relationships § All translations THE PROBLEM
7.
© PRODYNA AG
2016 Slide 7 § The levels can be configured by the user dynamically Graph Data View Tree View THE SOLUTION
8.
© PRODYNA AG
2016 Slide 8 FIND PRODUCT IN GERMANY FOR BROWN RUST ON WHEAT USE CASE 1
9.
© PRODYNA AG
2016 Slide 9 IN WHICH COUNTRIES ARE PRODUCTS OFFERED FOR BROWN RUST ON WHEAT? USE CASE 2
10.
© PRODYNA AG
2016 Slide 10 COMPARING PRODUCTS BY PLANT GROWTH STAGE USE CASE 3
11.
© PRODYNA AG
2016 Slide 11 § Looks like Neo4j but end user compatible § User can navigate by double-click Dynamic graph Dynamic graph GRAPHICAL REPRESENTATION
12.
© PRODYNA AG
2016 Slide 12 ARCHITECTURE USED TECHNOLOGIES Liferay Knowledge Hub ADFS Amazon S3 Search Crop Target Country Selector Navigation Product Formulation Active Ingredient Authorization Crop Target Product Tank Mix Authorization Navigation Translation Region Formulation § Liferay Portal Server § Spring MVC and Spring Data Neo4j Knowledge Hub Portlets Service Layer Authentication Media files
13.
© PRODYNA AG
2016 Slide 13 SCREENSHOTS KNOWLEDGE HUB SCREENSHOTS KNOWLEDGE HUB 1 This material may not be published.
14.
© PRODYNA AG
2016 Slide 14 SCREENSHOTS KNOWLEDGE HUB SCREENSHOTS KNOWLEDGE HUB This material may not be published. 2
15.
© PRODYNA AG
2016 Slide 15 SCREENSHOTS KNOWLEDGE HUB SCREENSHOTS KNOWLEDGE HUB This material may not be published. 3
16.
© PRODYNA AG
2016 Slide 16 5000 (potential) 200 (concurrent) Users FACTS AND FIGURES SUMMARY 30 Countries Worldwide Scope 27 Languages 6 Millions Relationships 600.000 Nodes
17.
© PRODYNA AG
2016 Slide 17 PREJUDICES AND DEVELOPMENT SUMMARY § “Neo4j only makes sense for special use cases like social networks” § “Is Neo4j really enterprise ready?” § “Neo4j only has nodes and relationships, is this really sufficient for a complex business application?” § “Users always work with graphs?” § “Is this database fast enough?”
18.
© PRODYNA AG
2016 Slide 18 SIX ARGUMENTS FOR NEO4J SUMMARY § Much easier mapping of Business Domain Model to the graph database § Business understands the graph model § Hierarchical structures easy to query § Less queries, less development, faster and cheaper results § Full scalability (embedded to cluster) § Automated testing, supporting libraries § Integrated Lucene full text search engine § Full text search as part of the Cypher query § Plugin architecture § Amazing performant results § Integrateable § Everybody speaks REST
19.
© PRODYNA AG
2016 Slide 19 § PRODYNA AG § Ludwig-Erhard-Straße 12-14 65760 Eschborn § T +49 69 597 724 - 175 F +49 69 597 724 - 700 M +49 176 178 70 175 § darko.krizic@prodyna.com prodyna.com DARKO KRIŽIĆ (CTO) – PRODYNA FRANKFURT PRODYNA IN YOUR REGION
20.
ANY QUESTIONS? VISIT US
AT OUR PRODYNA BOOTH
21.
© PRODYNA AG
2016 Slide 21 CONTACT US! +49 69 597 724 - 0 info@prodyna.com Facebook/prodynaag Twitter/prodynaag
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