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Unparalleled Graph Database Scalability Delivered by Neo4j 4.0

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GraphAware
GraphAware

GraphAware provides scalable graph database solutions and machine learning capabilities powered by Neo4j. It discusses how graph databases and machine learning can be combined to address challenges like data storage, model storage, and communication. Graph sharding is presented as a way to simplify database creation, improve isolation, increase performance, and separate training and model data. Example applications discussed include mobile user modeling, recommendation systems, and organizing coronavirus research.

Technologie
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GraphAware® UNPARALLELED GRAPH DATABASE SCALABILITY DELIVERED BY NEO4J 4.0 GRAPH POWERED MACHINE LEARNING Alessandro Negro, Chief Scientist @ GraphAware graphaware.com @graph_aware, @AlessandroNegro
WHY ML ON GRAPH?
MACHINE LEARNING CHALLENGES The Source of Truth Performance Model Storing Communication
GraphAware®
HOW CAN SHARDS HELP?
- Simplifies and speeds up the creation of a big database - Provides proper data isolation (security and privacy) - Increases performance (multiple parallel accesses) - Decouples training data from model data SHARDING FOR MACHINE LEARNING GraphAware®
SCENARIOS
GraphAware® Suppose you would like to monitor a subject using his/her phone … HOMELAND SECURITY
GraphAware®
GraphAware® DATA SOURCES
GraphAware® H AR D TO U SE DATA SOURCES
GraphAware® CELLULAR TOWER NETWORK Eagle N., Quinn J.A., Clauset A. (2009) Methodologies for Continuous Cellular Tower Data Analysis. In: Tokuda H., Beigl M., Friday A., Brush A.J.B., Tobe Y. (eds) Pervasive Computing. Pervasive 2009. Lecture Notes in Computer Science, vol 5538. Springer, Berlin, Heidelberg
GraphAware® CELLULAR TOWER NETWORK (CLUSTERED)
GraphAware® CELLULAR TOWER NETWORK (CLUSTERED) Home Office School Market Church
GraphAware® MARKOV CHAIN
GraphAware® CONTEXTUAL MARKOV CHAIN
GraphAware® Suppose you would like to implement a mobile app which recommends movies … RETAIL
GraphAware® f: User x Item x Context1 x Context2 x Context3 -> Relevance Score CONTEXT AWARE RECOMMENDATION
GraphAware® User Item Dataset
GraphAware® Context-Aware Dataset
GraphAware® Context-Aware Similarity
GraphAware® Suppose that you would like help the research community by organizing all the knowledge about coronavirus to help scientists to fight it FIGHT CORONA VIRUS
GraphAware® DATA SOURCES
DEMO TIME
MEAP AVAILABLE GraphAware® https://www.manning.com/books/graph-powered-machine-learning
www.graphaware.com @graph_aware

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