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Google Cloud at GraphSummit London 14 Nov 2023.pptx

Neo4j
Neo4j

Neo4j is Google Cloud's strategic partner for graph databases. See Google Cloud's presentation at Neo4j GraphSummit in London Nov 2023.

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Gather Deeper Analytical Insights and
Expand Problem-Solving Abilities using
Neo4j and Google Cloud
Nov 2023 | GraphSummit London
Abhinav Bhatia
ISV Partner Engineer
Google Cloud
Proprietary + Confidential
Document Key-value In-memory Wide Column Graph Time-series Relational
DBaaS
Firestore
Serverless,
scalable
document
store
Cloud
Bigtable
Low latency,
scalable wide
column store
MemoryStore
Managed Redis
Cloud
Bigtable
Low latency,
scalable wide
column store
Fastest Path to
Graph
Cloud
Bigtable
Low latency,
scalable wide
column store
Cloud SQL
Managed MySQL, PostgreSQL,
& SQL Server
Cloud Spanner
Scalable relational database
AlloyDB
Downloadable PostgreSQL
compatible database
Neo4j’s is Google Cloud’s strategic partner for graph databases
Neo4j with Google Cloud is perfect fit
2023 Global Partner of the Year for
Data Management
Sales alignment for co-solutioning to
meet customer needs
100% Google commit burndown for
partner solutions through Marketplace
One team Deep integrations Easy deployment
Easy click to deploy through Google
Cloud Marketplace, listed for SaaS or VM
deployments
Quicker time to value through deep
customer engagements such as on-site
hackathons, dedicated workshops, and
more
Pre-packaged vertical solutions e.g.
supply chain twin, fraud detection,
personalization & promotion, etc.
AI/ML
- Gen AI: Press release, Demo, Blog-Build
intelligent apps with Neo4j Knowledge
Graphs and Google Cloud genAI
- Vertex AI: Blogs - Use graphs for smarter
AI with Neo4j and Google Cloud Vertex AI;
Graph Data Science on Google Cloud:
Neo4j AuraDS and Vertex AI
Analytics: BigQuery, Looker, Dataflow
Application development: Google
Compute Engine, Google Kubernetes Engine,
Cloud Functions
●Recommendation Engine
●Personalization &
Promotions
●Supply Chain
●Product catalog
●Advertising Optimization
●Fraud Detection
Neo4j & Google Cloud: Solving customer challenges, together
Financial services Retail & CPG Manufacturing & logistics Healthcare & Life Sciences
● Fraud Detection / Anti
Money Laundering
●Customer Journey / 360
●Identity and Access
Management
●Regulatory Compliance
●Knowledge Graph
● Digital Twin BOM
● Supply Chain Twin
●Connected Car
●Customer 360
● Patient journey and
outcomes
● Drug Discovery
● Supply Chain
●Genomics Research
●Knowledge Graph (R&D,
etc.)
Top use
cases
Select
customers
Neo4j is easy to use on Google Cloud
Neo4j Connector for
Apache Kafka
Dataproc
Workbench
Kafka
Cloud
Storage
Neo4j Aura
Graph Data Science
Graph
Database
Bloom
Neo4j Connector for Apache
Spark
Neo4j in the Google Cloud Ecosystem

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Google Cloud at GraphSummit London 14 Nov 2023.pptx

  • 1. Gather Deeper Analytical Insights and Expand Problem-Solving Abilities using Neo4j and Google Cloud Nov 2023 | GraphSummit London Abhinav Bhatia ISV Partner Engineer Google Cloud
  • 2. Proprietary + Confidential Document Key-value In-memory Wide Column Graph Time-series Relational DBaaS Firestore Serverless, scalable document store Cloud Bigtable Low latency, scalable wide column store MemoryStore Managed Redis Cloud Bigtable Low latency, scalable wide column store Fastest Path to Graph Cloud Bigtable Low latency, scalable wide column store Cloud SQL Managed MySQL, PostgreSQL, & SQL Server Cloud Spanner Scalable relational database AlloyDB Downloadable PostgreSQL compatible database Neo4j’s is Google Cloud’s strategic partner for graph databases
  • 3. Neo4j with Google Cloud is perfect fit 2023 Global Partner of the Year for Data Management Sales alignment for co-solutioning to meet customer needs 100% Google commit burndown for partner solutions through Marketplace One team Deep integrations Easy deployment Easy click to deploy through Google Cloud Marketplace, listed for SaaS or VM deployments Quicker time to value through deep customer engagements such as on-site hackathons, dedicated workshops, and more Pre-packaged vertical solutions e.g. supply chain twin, fraud detection, personalization & promotion, etc. AI/ML - Gen AI: Press release, Demo, Blog-Build intelligent apps with Neo4j Knowledge Graphs and Google Cloud genAI - Vertex AI: Blogs - Use graphs for smarter AI with Neo4j and Google Cloud Vertex AI; Graph Data Science on Google Cloud: Neo4j AuraDS and Vertex AI Analytics: BigQuery, Looker, Dataflow Application development: Google Compute Engine, Google Kubernetes Engine, Cloud Functions
  • 4. ●Recommendation Engine ●Personalization & Promotions ●Supply Chain ●Product catalog ●Advertising Optimization ●Fraud Detection Neo4j & Google Cloud: Solving customer challenges, together Financial services Retail & CPG Manufacturing & logistics Healthcare & Life Sciences ● Fraud Detection / Anti Money Laundering ●Customer Journey / 360 ●Identity and Access Management ●Regulatory Compliance ●Knowledge Graph ● Digital Twin BOM ● Supply Chain Twin ●Connected Car ●Customer 360 ● Patient journey and outcomes ● Drug Discovery ● Supply Chain ●Genomics Research ●Knowledge Graph (R&D, etc.) Top use cases Select customers
  • 5. Neo4j is easy to use on Google Cloud
  • 6. Neo4j Connector for Apache Kafka Dataproc Workbench Kafka Cloud Storage Neo4j Aura Graph Data Science Graph Database Bloom Neo4j Connector for Apache Spark Neo4j in the Google Cloud Ecosystem
  • 7. Dataproc ● Scalable CRUD operations on Neo4j at scale on the Apache Spark-based DataProc service. ● Supports local development on any Spark run-time using python and scala notebook clients. ● Monitor jobs using DataProc logging and monitoring tools. ● Build dataframes and pipelines in Python or Scala using notebooks of your choice. ● Example notebooks
  • 8. Neo4j BigQuery Connector ● BigQuery Spark Stored procedures that pull data from BigQuery via Arrow and write it directly into Neo4j Graph Data Science ● Highly performant and scalable ● Code available on GitHub
  • 9. Dataflow ● Create and merge nodes and relationships on Neo4j at scale on the Apache Beam-based DataFlow service. ● Runs locally using DirectRunner mode as well as in the cloud. ● Monitor using DataFlow logging and step- through operations. ● Resources ○ Blog Post ○ GitHub
  • 10. Neo4j Vertex AI Integration ● Use Graph embeddings as novel features in supervised learning methods ● Example notebooks here ● Blog posts ○ Analyze Graph Data ○ AuraDS and Vertex AI Neo4j AuraDS Graph Data Science Graph Database Bloom Vertex AI Workbench AutoML
  • 11. Neo4j and Google Enterprise Knowledge Graph ● Enrich and reconcile data in Neo4j with Google Enterprise Knowledge Graph ● Example Notebooks here ● Blog post
  • 12. Google Cloud’s AI Portfolio To support the needs of Generative AI centric enterprise development Search AI Solutions Contact Center | Document AI Platform Extension | Connectors | Grounding Prompt | Serve | Tune | Distill | Eval Conversation Build your own generative AI-powered agents Model Garden Google | OSS | Partner Models Google Cloud Infrastructure (GPU/TPU) | Google Data Cloud Vertex AI Broad Ecosystem of Partners Responsible AI
  • 13. Neo4j + Generative AI: Knowledge Centric AI
  • 14. Demo
  • 15. Neo4j + Generative AI: Demo
  • 17. Next Steps… ● Deploy Neo4j Aura Professional on Google Cloud ● Read more about our partnership here