Neo4j GraphTalks Meets PRODYNA

© PRODYNA AG 2016 Slide 1

PRODYNA

IMPLEMENTATION AND LIVE DEMO


MAY I INTRODUCE MYSELF

ABOUT ME

§ Darko Križić

§ Chief Technology Officer (CTO)


§ “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


§ 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


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


§ 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


§ The levels can be configured by the user dynamically

Graph Data View Tree View

THE SOLUTION


FIND PRODUCT IN GERMANY FOR BROWN RUST ON WHEAT

USE CASE 1


IN WHICH COUNTRIES ARE PRODUCTS OFFERED FOR BROWN RUST ON WHEAT?

USE CASE 2


COMPARING PRODUCTS BY PLANT GROWTH STAGE

USE CASE 3


§ Looks like Neo4j but end user compatible

§ User can navigate by double-click

Dynamic graph Dynamic graph

GRAPHICAL REPRESENTATION


ARCHITECTUREUSED TECHNOLOGIES

Liferay

Knowledge Hub

ADFS

AmazonS3

Search Crop TargetCountry Selector

Navigation Product FormulationActive

IngredientAuthorization

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


SCREENSHOTS

KNOWLEDGE HUB

SCREENSHOTS

KNOWLEDGE HUB

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SCREENSHOTS

KNOWLEDGE HUB

SCREENSHOTS

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SCREENSHOTS

KNOWLEDGE HUBSCREENSHOTS

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5000 (potential)

200 (concurrent)

Users

FACTS AND FIGURES

SUMMARY

30

Countries

Worldwide

Scope

27

Languages

6 Millions

Relationships

600.000

Nodes


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?”


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


§ 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

§ [email protected] prodyna.com

DARKO KRIŽIĆ (CTO) – PRODYNA FRANKFURT

PRODYNA IN YOUR REGION

ANY QUESTIONS?

VISIT US AT OUR PRODYNA BOOTH


CONTACT US!

+49 69 597 724 - 0

[email protected]

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Twitter/prodynaag

Date post:	16-Apr-2017
Category:	Technology
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