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WEBINAR | 2023-2024
Plan Your Cloud
Migration with
Confidence
Daria Chadwick
Marketer
Phil Meredith
CEO & Founder
Sammy Dagher
Sales Engineer
Plan Your Cloud Migration with Confidence
90%
of migration projects
experience disruptions
75%
of migration projects
don’t meet deadlines
INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE
INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE
Intelligently plan, execute,
monitor, and optimize your cloud
migration with graph analytics
Introduction to Graph for Cloud Migration with Neo4j
Sammy Dagher, Sales Engineer, Neo4j
Intelligent Cloud Migration
Phil Meredith, CEO & Founder, Process Tempo
Migration Challenges + Limitations: An Overview
Daria Chadwick, Marketer, Process Tempo
Migration Challenges
and Limitations
Daria Chadwick, Marketer, Process Tempo
INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE
INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE
Importance
INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE
Having a clear understanding of what needs to be migrated and why
INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE
Collaboration and communication difficulties
INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE
• Generate as much as visibility as possible into your existing IT infrastructure
using the graph.
• Pre-migration: Establish scope only after you’ve established visibility.
• Mid-migration: Leverage graph to generate visibility and evaluate your current
scope before moving forward. You may have to make changes.
• Don’t forget about your people! Make their day-to-day work more productive
from both an individual perspective and a team one by providing them with
accurate, clean, and unified set of data and an effective way to collaborate on it.
INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE
What is Neo4j?
The industry’s largest dedicated investment in Graph Database Ecosystem
Industry Leaders use Neo4j
Creator of the Labeled Property
Graph
Thousands of Customers World-
Wide
Graph Database Leader with
more than 50% of Market Share
Innovation Leader with Highest
concentration of Graph
Innovators, Experts, Analysts,
Developers and Publications
HQ in Silicon Valley, offices include
Boston, London, Munich, Paris, Malmo,
Sydney, Singapore, India, APAC
20 of 20 Top Financial Institutions
9 of 10 Top High Tech Companies (Including
those who have competitive products, use
Neo4j internally for their mission critical
applications)
7 of 10 Top Retailers
8 of 10 Top Insurance Companies
8 of 10 Top Automakers
3 of 5 Top Hotels
7 of 10 Top Telecoms
Global Governments - Civilian, Defense and
Intelligence using Neo4j EE to Analyze,
Optimize & Protect
MARRIED_TO
DRIVES
name: “Dan”
born: May 29, 1986
twitter: “@dan”
name: “Ann”
born: Dec 5, 1984
since:
Jan 10, 2017
brand: “Volvo”
model: “V70”
Nodes
• Represent the objects in the
graph
• Can have one or more labels
(noun)
Relationships
• Relate nodes by type (verb) and
direction
Properties
• Name-value pairs that can go
on nodes (adjective) and
relationships (adverb)
LOVES
LOVES
O
W
N
S
PERSON
CAR
LOVES
PERSON
since:
Jan 12, 2017
since:
Jan 10, 2017
Why Graph for Cloud
Migration?
• Modeling your infrastructure
as a graph enables you to:
–Plan
• Migration of applications to the
cloud
• Prioritize components for migration
–Execute
• Move applications/services/APIs to
the cloud without any loose end
dependencies
–Monitor
• Have a blueprint for your cloud/on-
prem hybrid infrastructure going
forward
Examples of Cloud Migration
• Infrastructure-first approach
–Shutting down a data center
–Moving applications from one data center
to another
–Retiring hardware that hosts custom
software
• Application-first approach
–Choosing “cloud ready” applications first
–Prioritizing applications with less
influence/dependencies
–Prioritizing more critical business
applications first
Application Application
Owner
API
Library
IP Address
Server
Data Center A
Server Server
Server
Server
Server
Server
Server
Server
Server
Server
Application
Application
Application
API
Pathfinding &
Search
• Shortest Path
• Single-Source Shortest Path
• All Pairs Shortest Path
• A* Shortest Path
• Yen’s K Shortest Path
• Minimum Weight Spanning Tree
• K-Spanning Tree (MST)
• Random Walk
• Breadth & Depth First Search
Centrality &
Importance
• Degree Centrality
• Closeness Centrality
• Harmonic Centrality
• Betweenness Centrality & Approx.
• PageRank
• Personalized PageRank
• ArticleRank
• Eigenvector Centrality
• Hyperlink Induced Topic Search (HITS)
• Influence Maximization (Greedy, CELF)
Community
Detection
• Triangle Count
• Local Clustering Coefficient
• Connected Components (Union
Find)
• Strongly Connected Components
• Label Propagation
• Louvain Modularity
• K-1 Coloring
• Modularity Optimization
• Speaker Listener Label Propagation
Supervised
Machine
Learning
• Node Classification
• Link Prediction
… and more!
Heuristic Link
Prediction
• Adamic Adar
• Common Neighbors
• Preferential Attachment
• Resource Allocations
• Same Community
• Total Neighbors
Similarity
• Node Similarity
• K-Nearest Neighbors (KNN)
• Jaccard Similarity
• Cosine Similarity
• Pearson Similarity
• Euclidean Distance
• Approximate Nearest Neighbors
(ANN)
Graph
Embeddings
• Node2Vec
• FastRP
• FastRPExtended
• GraphSAGE
• Synthetic Graph Generation
• Scale Properties
• Collapse Paths
• One Hot Encoding
• Split Relationships
• Graph Export
• Pregel API (write your own algos)
• PageRank Algorithm
– Measures the importance of each node
within the graph, based on the number
incoming relationships and the importance
of the corresponding source nodes.
– Used to create “Complexity” score
Application
Application
Application
Application
Application
Highest “Complexity”
Intelligent Cloud
Migration
WEBINAR | 2023-2024
Migration efforts can be
hazardous to your career!
Warning!
Challenges to Successful Migrations
Multiple parties involved
• Architecture
• Finance
• Development
• SMEs
Obscurity
• Multiple disconnected systems
• Multiple environments
• Disconnected processes
Continuous change
• Internal resistance
• Poor data quality
What is Needed
Executive Sponsorship
• A vision and a roadmap
• A clear value statement
• Attainable milestones
• Executive oversight
Clarity
• A single source of truth
• A common language
• A common data model
• Dependency and Impact Analysis
Effective Coordination
• Multiple teams involved
• Multiple, overlapping processes
• A common platform
Adaptability
• Change is constant
• A no-code approach
Amazing things
happen at the
intersection of:
• Modern Data Warehousing
• Integrated Governance
• Self-Service Dashboards
• Embedded Workflow
Greater
Adoption
Greater
Confidence
Greater
Reuse
Greater
Control
Data
Quality
Data
Security
Data
Consistency
Data
Value
Self-Service
Dashboards &
Reports
Modern Graph
Data Warehouse
Integrated
Governance
Embedded
Workflow
What is Process Tempo
How We Help Support Migration
Efforts
Execution
• Workflow
• Knowledge capture
• Alerting
Planning & Optimization
• We address complexity
• Collaboration across teams
Monitoring and Oversight
• Executive Dashboards
• Stakeholder Dashboards
• Exception Reporting
How We Help Support Migration
Efforts
Versus
• Disconnected
• Error Prone
• Limited
• Integrated
• Accurate
• Interactive
• Secure
How it works
<- - Write Back - -
Data Scientists |
Data Engineers |
Administrators |
| Planners
| Executives
| Stakeholders
Dashboard
Form
Demonstration
Animated Charts
Responsive UI
Minimal Training
Required
Integrated Forms and
Workflow
• Put Your Supply Chain Data To Work
• Reduce API Security Risk with Graph Analytics
• Plan Your Cloud Migration with Confidence
Webinar Series: Revolutionizing Business
Analytics with Graph Applications
Watch back on processtempo.com
Get started by scheduling a call: calendly.com/processtempo

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Neo4j + Process Tempo present Plan Your Cloud Migration with Confidence

  • 1. WEBINAR | 2023-2024 Plan Your Cloud Migration with Confidence
  • 2. Daria Chadwick Marketer Phil Meredith CEO & Founder Sammy Dagher Sales Engineer Plan Your Cloud Migration with Confidence
  • 3. 90% of migration projects experience disruptions 75% of migration projects don’t meet deadlines INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE
  • 4. INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE Intelligently plan, execute, monitor, and optimize your cloud migration with graph analytics
  • 5. Introduction to Graph for Cloud Migration with Neo4j Sammy Dagher, Sales Engineer, Neo4j Intelligent Cloud Migration Phil Meredith, CEO & Founder, Process Tempo Migration Challenges + Limitations: An Overview Daria Chadwick, Marketer, Process Tempo
  • 6. Migration Challenges and Limitations Daria Chadwick, Marketer, Process Tempo
  • 7. INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE
  • 8. INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE Importance
  • 9. INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE Having a clear understanding of what needs to be migrated and why
  • 10. INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE Collaboration and communication difficulties
  • 11. INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE • Generate as much as visibility as possible into your existing IT infrastructure using the graph. • Pre-migration: Establish scope only after you’ve established visibility. • Mid-migration: Leverage graph to generate visibility and evaluate your current scope before moving forward. You may have to make changes. • Don’t forget about your people! Make their day-to-day work more productive from both an individual perspective and a team one by providing them with accurate, clean, and unified set of data and an effective way to collaborate on it.
  • 12.
  • 13. INTEGRATE • MODEL • VISUALIZE • ANALYZE • ORCHESTRATE • AUTOMATE What is Neo4j? The industry’s largest dedicated investment in Graph Database Ecosystem Industry Leaders use Neo4j Creator of the Labeled Property Graph Thousands of Customers World- Wide Graph Database Leader with more than 50% of Market Share Innovation Leader with Highest concentration of Graph Innovators, Experts, Analysts, Developers and Publications HQ in Silicon Valley, offices include Boston, London, Munich, Paris, Malmo, Sydney, Singapore, India, APAC 20 of 20 Top Financial Institutions 9 of 10 Top High Tech Companies (Including those who have competitive products, use Neo4j internally for their mission critical applications) 7 of 10 Top Retailers 8 of 10 Top Insurance Companies 8 of 10 Top Automakers 3 of 5 Top Hotels 7 of 10 Top Telecoms Global Governments - Civilian, Defense and Intelligence using Neo4j EE to Analyze, Optimize & Protect
  • 14. MARRIED_TO DRIVES name: “Dan” born: May 29, 1986 twitter: “@dan” name: “Ann” born: Dec 5, 1984 since: Jan 10, 2017 brand: “Volvo” model: “V70” Nodes • Represent the objects in the graph • Can have one or more labels (noun) Relationships • Relate nodes by type (verb) and direction Properties • Name-value pairs that can go on nodes (adjective) and relationships (adverb) LOVES LOVES O W N S PERSON CAR LOVES PERSON since: Jan 12, 2017 since: Jan 10, 2017
  • 15. Why Graph for Cloud Migration? • Modeling your infrastructure as a graph enables you to: –Plan • Migration of applications to the cloud • Prioritize components for migration –Execute • Move applications/services/APIs to the cloud without any loose end dependencies –Monitor • Have a blueprint for your cloud/on- prem hybrid infrastructure going forward
  • 16. Examples of Cloud Migration • Infrastructure-first approach –Shutting down a data center –Moving applications from one data center to another –Retiring hardware that hosts custom software • Application-first approach –Choosing “cloud ready” applications first –Prioritizing applications with less influence/dependencies –Prioritizing more critical business applications first
  • 18. Data Center A Server Server Server Server Server Server Server Server Server Server Application Application Application API
  • 19. Pathfinding & Search • Shortest Path • Single-Source Shortest Path • All Pairs Shortest Path • A* Shortest Path • Yen’s K Shortest Path • Minimum Weight Spanning Tree • K-Spanning Tree (MST) • Random Walk • Breadth & Depth First Search Centrality & Importance • Degree Centrality • Closeness Centrality • Harmonic Centrality • Betweenness Centrality & Approx. • PageRank • Personalized PageRank • ArticleRank • Eigenvector Centrality • Hyperlink Induced Topic Search (HITS) • Influence Maximization (Greedy, CELF) Community Detection • Triangle Count • Local Clustering Coefficient • Connected Components (Union Find) • Strongly Connected Components • Label Propagation • Louvain Modularity • K-1 Coloring • Modularity Optimization • Speaker Listener Label Propagation Supervised Machine Learning • Node Classification • Link Prediction … and more! Heuristic Link Prediction • Adamic Adar • Common Neighbors • Preferential Attachment • Resource Allocations • Same Community • Total Neighbors Similarity • Node Similarity • K-Nearest Neighbors (KNN) • Jaccard Similarity • Cosine Similarity • Pearson Similarity • Euclidean Distance • Approximate Nearest Neighbors (ANN) Graph Embeddings • Node2Vec • FastRP • FastRPExtended • GraphSAGE • Synthetic Graph Generation • Scale Properties • Collapse Paths • One Hot Encoding • Split Relationships • Graph Export • Pregel API (write your own algos)
  • 20. • PageRank Algorithm – Measures the importance of each node within the graph, based on the number incoming relationships and the importance of the corresponding source nodes. – Used to create “Complexity” score Application Application Application Application Application Highest “Complexity”
  • 22. Migration efforts can be hazardous to your career! Warning!
  • 23. Challenges to Successful Migrations Multiple parties involved • Architecture • Finance • Development • SMEs Obscurity • Multiple disconnected systems • Multiple environments • Disconnected processes Continuous change • Internal resistance • Poor data quality
  • 24. What is Needed Executive Sponsorship • A vision and a roadmap • A clear value statement • Attainable milestones • Executive oversight Clarity • A single source of truth • A common language • A common data model • Dependency and Impact Analysis Effective Coordination • Multiple teams involved • Multiple, overlapping processes • A common platform Adaptability • Change is constant • A no-code approach
  • 25. Amazing things happen at the intersection of: • Modern Data Warehousing • Integrated Governance • Self-Service Dashboards • Embedded Workflow Greater Adoption Greater Confidence Greater Reuse Greater Control Data Quality Data Security Data Consistency Data Value Self-Service Dashboards & Reports Modern Graph Data Warehouse Integrated Governance Embedded Workflow What is Process Tempo
  • 26. How We Help Support Migration Efforts Execution • Workflow • Knowledge capture • Alerting Planning & Optimization • We address complexity • Collaboration across teams Monitoring and Oversight • Executive Dashboards • Stakeholder Dashboards • Exception Reporting
  • 27. How We Help Support Migration Efforts Versus • Disconnected • Error Prone • Limited • Integrated • Accurate • Interactive • Secure
  • 28. How it works <- - Write Back - - Data Scientists | Data Engineers | Administrators | | Planners | Executives | Stakeholders Dashboard Form
  • 29. Demonstration Animated Charts Responsive UI Minimal Training Required Integrated Forms and Workflow
  • 30. • Put Your Supply Chain Data To Work • Reduce API Security Risk with Graph Analytics • Plan Your Cloud Migration with Confidence Webinar Series: Revolutionizing Business Analytics with Graph Applications Watch back on processtempo.com Get started by scheduling a call: calendly.com/processtempo