![GRaph UNLOCKS NEW LEVELS OF
APPLICATION INTELLIGENCE
“Graph Relates Everything. By
2025, graph technologies will
be used in 80% of data and
analytics innovations, up from
10% in 2021, facilitating rapid
decision making across the
enterprise”
Top 10 Trends in
Data and Analytics for 2021
“Up to 50% of Gartner inquiries on
the topic of AI involve discussion of
the use of graph technology.”
Top 10 Trends in
Data and Analytics for 2021
“Neo4j...lead[s] the pack”
Q4 2020
The Forrester Wave: Graph Data
Platforms](https://image.slidesharecdn.com/neo4jmarchconnectionsphilip-2-210331175155/75/Neo4j-Graph-Data-Platform-Making-Your-Data-More-Intelligent-9-2048.jpg)
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Neo4j Graph Data Platform: Making Your Data More Intelligent
This document discusses the Neo4j graph data platform and how it can help organizations make their data more intelligent. Some key points: - By 2025, 175 zettabytes of data will be generated annually, but over half remains unquantified and untapped due to a lack of connections between data. - Neo4j can unlock these connections through its graph database approach, which is designed for connected data. This allows for accelerated innovation through AI/ML and real-time connected insights. - Graph databases like Neo4j provide significant performance advantages over relational and NoSQL databases for queries involving connections in data, enabling "minutes to milliseconds" response times even at large scale
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Neo4j Graph Data Platform: Making Your Data More Intelligent
- 1. Neo4j Graph Dataplatform Making your data more intelligent Philip Rathle, VP Product Management, Neo4j
- 2. 175 ZB Data Generatedby 2025 (IDC) 55% Data Unquantified and Untapped (TRUE global intelligence Survey) Data is the new OIL, our greatest asset, Now and in the future Yet, half of THE Data is still UNTAPPED 60% Data remains unconnected (multiple) and, unconnected Data is growing 294 BIL 4TB 5 BIL 65 BIL 4PB Data generated each daY (source: raconteur)
- 3. how do youharness YOUR data to drive business value?
- 4. datA-accelerated innovation A UNLOCKTHE CONNECTIONS INSIDE of YOUR data C accelerate, with CLOUD-First developer agility B activate them with AI and Machine Learning
- 5. the Connections are asValuable as the Data Itself A
- 6. connections in dataare core to building modern, intelligent applications Personalization Product Recommendations Personalized Health Media and Advertising Decision Analysis Fraud Prevention Network Analysis Forecasting Massive Data Integration Customers/Data 360 Compliance Optimize Operations Data Science AI & ML Behavior Prediction Patient/Customer Journey Disambiguation Data Driven Discovery & Innovation Drug Discovery Intelligence & Security Product & Process Innovation
- 7. connected data elevatesuse case effectiveness The plateau of aggregate data Use Case Effectiveness (value) Use Case Maturity (time) Connected data potential Your opportunity with Graphs
- 8. graph databases: designedfor connected data RELATIONAL DATABASES Store and retrieve data NoSQL DATABASES Aggregate and filter data Connections in data Real time storage & retrieval Real-Time Connected Insights Long running queries aggregation & filtering “Our Neo4j solution is literally thousands of times faster than the prior MySQL solution, with queries that require 10-100 times less code” Volker Pacher, Senior Developer From Disparate Silos To Cross-Silo Connections
- 9. GRaph UNLOCKS NEWLEVELS OF APPLICATION INTELLIGENCE “Graph Relates Everything. By 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision making across the enterprise” Top 10 Trends in Data and Analytics for 2021 “Up to 50% of Gartner inquiries on the topic of AI involve discussion of the use of graph technology.” Top 10 Trends in Data and Analytics for 2021 “Neo4j...lead[s] the pack” Q4 2020 The Forrester Wave: Graph Data Platforms
- 10. Impact: business agility “Flexible” DataModel Easier to understand, evolve and collaborate
- 11. Minutes to “milliseconds”performance advantage Connectedness and Size of Data Set Response Time Relational and Other NoSQL Databases 0 to 2 hops 0 to 3 degrees Thousands of connections Tens to hundreds of hops Thousands of degrees Billions of connections 1000x Advantage at scale Neo4j “Minutes to milliseconds”
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- 13. Machine Learning isBased on Graphs
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- 15. All machine learningwill SOON BE usING graphs Machine Learning Pipeline A B C D E
- 16. graphs in theenterprise 01 02 03 Applications Data ScientistS Business userS Graph data science & AI/ ml • Sentiment analysis • Customer segmentation • Machine learning • Cognitive computing • Community detection operational Graphs • Fraud detection • Real-time recommendations • Network and IT operations management • Knowledge graphs • Master data management Graph Visualization • Fraud detection • Network and IT operations management • Product information management • Risk and portfolio analysis
- 17. Power of graphvisualization Cybersecurity example - Neo4j bloom
- 18. Neo4j Graph DATAPlatform Making your data more intelligent, WHEREVER IT MAY BE 18 Development & Administration Analytics Tooling BUSINESS USERS DEVELOPERS ADMINS Graph Analytics Graph Transactions Data Integration Discovery & Visualization DATA ANALYSTS DATA SCIENTISTS Drivers & APIs APPLICATIONS AI openCypher & ISO GQL Cloud
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- 20. Database-as-a-service Cloud-native service Zero administration Pay-as-you-go Self-servicedeployment Cloud-native stack FULLY MANAGED infraSTRUCTURE Cloud Managed Services (CMS) White-glove service fully managed by Neo4j experts Fully customizable deployment model and service levels Operate In own data centers or Virtual Private Cloud GETTING STARTED - DEPLOYMENT OPTIONS SCALING your data YOUR WAY Self-hosted CHOOSE YOUR CLOUD: PRIVATE OR PUBLIC Bring-your-own-license Self-manageD YOU MANAGE THE INFRASTRUCTURE & data PRIVATE, HYBRID, PUBLIC
- 21. Graphs of Activity& Behavior 10B - 1T+ Graph scaling with Neo4j Graph Scale Graphs of Things Graph Usage Maturity Graphs of Transactions 100M - 100B 1M-1B Aura, Commodity Hardware Replicated Clusters Aura, Commodity or Larger Replication and/or Partitioning CMS, Replicated Partitions (Fabric), or “EXOTIC Hardware” (IN-MEMORY)
- 22. securing your datain neo4j LDAP & Active Directory User & Roles Procedure Access Controls Kerberos SSO Certs Intra-Cluster Encryption Security Event Logging TLS Wire Encryption Schema Based Security
- 23. your opportunity: Solve ComplexAnd Valuable Problems leveraging graphs With Neo4j
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