SlideShare a Scribd company logo
1 of 50
Technical Data Migration
Made Simple
Jonathan Scott
Razorleaf Corporation
• Monday
» 4115: (DEM) Technical Data Migration Made Simple
11:35:00 AM - 12:25:00 PM | Jonathan Scott
» 4114: (COL) LIVE DEMO: How to Get to Full Digitalization
4:35:00 PM - 5:25:00 PM | Brian Lau, Jonathan Scott
• Tuesday
» 4116: (IDM) LIVE DEMO: ENOVIA 2013x Tips
2:00:00 PM - 2:50:00 PM | Michael Craffey, Brian Lau
• Wednesday
» 4113: (COL) 10 Cool Tools for 2016
12:05:00 PM - 12:35:00 PM | Jonathan Scott
Explaining the Title
• What I’m NOT going to do:
» Make the activity of migrating technical data easier
» Give advice on technical migration mechanics
Explaining the Title
• What I’m NOT going to do:
» Make the activity of migrating technical data easier
» Give advice on technical migration mechanics
• What I AM going to do:
» Make technical data migrations easier to understand
» Give you a framework for explaining it to others
Moving is Painful
Why is Moving Painful?
• The process is time-consuming
• Valuables can be broken & lost
• You need to clean-up first (or you risk moving junk)
• No room for error
Why is Moving Data Migration Painful?
Why is Moving Data Migration Painful?
• The process is time-consuming
• Valuables can be broken & lost
• You need to clean-up first (or you risk moving junk)
• No room for error
Moving Cost Variables
• How many houses (to/from)
• How many rooms per house
• How many levels per house
• Heavy/large furniture
• Room-specific delivery
• Acceptable breakage (insurance)
Data Migration Variables
• Homogeneousness / congruity
• Required accuracy (iterations)
• Needed transformations
• Metadata or files or both
• Inter-relationships (CAD links)
• Location in Space (logical location)
• History (versions/revisions)
Where Are We Going?
PLM
Where Are We Going?
PLM
Data Sources: Homegrown Access DB
Access
PLM
Data Sources: Network File Servers
Access Windows
PLM
Data Sources: ERP System
Access Windows ERP
PLM
How Are We Getting There?
Access Windows ERP
PLM
ECOs
Data Streams: ECOs
Access Windows ERP
PLM
ECOs
BOM
Data Streams: BOMs & Comps
Access Windows ERP
PLM
ECOs
PDF(ECO)
PDF(Drwg)
BOM
Data Streams: PDFs
Access Windows ERP
PLM
ECOs
ECO-Comp
PDF(ECO)
PDF(Drwg)
BOM
Data Streams: ECO-Comp
Access Windows ERP
PLM
ECOs
ECO-Comp
ECO-Drwg
PDF(ECO)
PDF(Drwg)
BOM
Data Streams: ECO-Drwg
Access Windows ERP
PLM
ECOs
ECO-Comp
ECO-Drwg
Comp-Drwg
PDF(ECO)
PDF(Drwg)
BOM
Data Streams: Comp-Drwg
Access Windows ERP
PLM
ECOs
ECO-Comp
ECO-Drwg
Comp-Drwg
PDF(ECO)
PDF(Drwg)
BOM
OrCAD
Data Streams: Electrical CAD
Access Windows ERP
PLM
ECOs
ECO-Comp
ECO-Drwg
Comp-Drwg
Microstation
PDF(ECO)
PDF(Drwg)
BOM
AutoCAD
OrCAD
Data Streams: Mechanical 2D CAD
Access Windows ERP
PLM
ECOs
ECO-Comp
ECO-Drwg
Comp-Drwg
SolidWorks
Microstation
PDF(ECO)
PDF(Drwg)
BOM
AutoCAD
OrCAD
Data Streams: Mechanical 3D CAD
Access Windows ERP
PLM
CATIA
ECOs
ECO-Comp
ECO-Drwg
Comp-Drwg
SolidWorks
Microstation
OfficeDoc
PDF(ECO)
PDF(Drwg)
BOM
AutoCAD
OrCAD
Data Streams: Office Docs
Access Windows ERP
PLM
CATIA
ECOs
ECO-Comp
ECO-Drwg
Comp-Drwg
SolidWorks
Microstation
OfficeDoc
PDF(ECO)
PDF(Drwg)
BOM
AutoCAD
OrCAD
PDF-Native
Data Streams: PDF Relationships
Access Windows ERP
PLM
CATIA
ECOs
ECO-Comp
ECO-Drwg
Comp-Drwg
SolidWorks
Microstation
OfficeDoc
PDF(ECO)
PDF(Drwg)
BOM
AutoCAD
OrCAD
PDF-Native
Unnecessary Data Streams
Access Windows ERP
PLM
CATIA
ECOs
ECO-Comp
ECO-Drwg
Comp-Drwg
SolidWorks
Microstation
OfficeDoc
PDF(ECO)
PDF(Drwg)
BOM
AutoCAD
OrCAD
PDF-Native
Data Streams & Revision History
Access Windows ERP
PLM
CATIA
ECOs
ECO-Comp
ECO-Drwg
Comp-Drwg
SolidWorks
Microstation
OfficeDoc
PDF(ECO)
PDF(Drwg)
BOM
AutoCAD
OrCAD
PDF-Native
Data Streams & Accuracy
Access Windows ERP
PLM
CATIA
90%
Estimating ECO Data Stream
• Latest revision only
• Metadata without files
• 90% accuracy means only 3 iterations
Estimating ECO Data Stream
• Latest revision only
• Metadata without files
• 90% accuracy means only 3 iterations
• 2 days to develop the process
• 3 days to automate the process
• 2 days for refinement 1
• 1 day for refinement 2
Estimating CATIA Data Stream
• Full revision history
• Metadata and files, files links, links to “space”
• 90% accuracy means only 3 iterations
Estimating CATIA Data Stream
• Full revision history
• Metadata and files, files links, links to “space”
• 90% accuracy means only 3 iterations
• 8 days to develop/automate the process
• 4 days for refinement 1
• 2 days for refinement 2
ECOs
ECO-Comp
ECO-Drwg
Comp-Drwg
SolidWorks
Microstation
OfficeDoc
PDF(ECO)
PDF(Drwg)
BOM
AutoCAD
OrCAD
PDF-Native
Data Stream Estimates
Access Windows ERP
PLM
CATIA
90%
ECOs
ECO-Comp
ECO-Drwg
Comp-Drwg
SolidWorks
Microstation
OfficeDoc
PDF(ECO)
PDF(Drwg)
BOM
AutoCAD
OrCAD
PDF-Native
Data Stream Estimates
Access Windows ERP
PLM
CATIA
90%
Migration Accuracy
90% = 110 days (3 iterations)
Migration Accuracy
90% = 110 days (3 iterations)
95% = 121 days (4 iterations)
98% = 133 days (5 iterations)
99% = 146 days (6 iterations)
Always Ask Questions
• Which file types are included/excluded?
• Which locations/sources are included/excluded?
• Latest versions or full revision history?
• Correlation of native files to static files?
• Will security be maintained?
• How accurate will the results be?
Data Migration Key Factors
• Homogeneousness / congruity
• Required accuracy (iterations)
• Needed transformations
• Metadata or files or both
• Inter-relationships (CAD links)
• Location in Space (logical location)
• History (versions/revisions)
Data Migration Key Factors
• Congruity
Data Migration Key Factors
• Congruity
• Accuracy required (iterations)
Data Migration Key Factors
• Congruity
• Accuracy required (iterations)
• Transformation needed
Data Migration Key Factors
• Congruity
• Accuracy required (iterations)
• Transformation needed
• Files or just metadata
Data Migration Key Factors
• Congruity
• Accuracy required (iterations)
• Transformation needed
• Files or just metadata
• Inter-relationships (CAD links)
Data Migration Key Factors
• Congruity
• Accuracy required (iterations)
• Transformation needed
• Files or just metadata
• Inter-relationships (CAD links)
• Space (logical location)
Data Migration Key Factors
• Congruity
• Accuracy required (iterations)
• Transformation needed
• Files or just metadata
• Inter-relationships (CAD links)
• Space (logical location)
• History (versions/revisions)
Moving is Painful
Contact Us
Jonathan.Scott@Razorleaf.com
www.Razorleaf.com

More Related Content

What's hot

Large Scale JIRA Administration
Large Scale JIRA Administration Large Scale JIRA Administration
Large Scale JIRA Administration
colleenfry
 
Stat 5.4 Pre Sales Demo Master
Stat 5.4 Pre Sales Demo MasterStat 5.4 Pre Sales Demo Master
Stat 5.4 Pre Sales Demo Master
reachtimsq
 
Automated Configuration & Deployment of Atlassian Applications
Automated Configuration & Deployment of Atlassian ApplicationsAutomated Configuration & Deployment of Atlassian Applications
Automated Configuration & Deployment of Atlassian Applications
colleenfry
 

What's hot (20)

[@IndeedEng] Redundant Array of Inexpensive Datacenters
[@IndeedEng] Redundant Array of Inexpensive Datacenters[@IndeedEng] Redundant Array of Inexpensive Datacenters
[@IndeedEng] Redundant Array of Inexpensive Datacenters
 
Serverless Meetup - 12 gennaio 2017
Serverless Meetup - 12 gennaio 2017Serverless Meetup - 12 gennaio 2017
Serverless Meetup - 12 gennaio 2017
 
50 Shades of Data - how, when and why Big, Fast, Relational, NoSQL, Elastic, ...
50 Shades of Data - how, when and why Big, Fast, Relational, NoSQL, Elastic, ...50 Shades of Data - how, when and why Big, Fast, Relational, NoSQL, Elastic, ...
50 Shades of Data - how, when and why Big, Fast, Relational, NoSQL, Elastic, ...
 
Data migration 2.0
Data migration 2.0Data migration 2.0
Data migration 2.0
 
Best Practices for Large-Scale Websites -- Lessons from eBay
Best Practices for Large-Scale Websites -- Lessons from eBayBest Practices for Large-Scale Websites -- Lessons from eBay
Best Practices for Large-Scale Websites -- Lessons from eBay
 
Preparing Your Legacy Data for Automation in S1000D
Preparing Your Legacy Data for Automation in S1000DPreparing Your Legacy Data for Automation in S1000D
Preparing Your Legacy Data for Automation in S1000D
 
Scaling Your Architecture with Services and Events
Scaling Your Architecture with Services and EventsScaling Your Architecture with Services and Events
Scaling Your Architecture with Services and Events
 
Large Scale JIRA Administration
Large Scale JIRA Administration Large Scale JIRA Administration
Large Scale JIRA Administration
 
Stat 5.4 Pre Sales Demo Master
Stat 5.4 Pre Sales Demo MasterStat 5.4 Pre Sales Demo Master
Stat 5.4 Pre Sales Demo Master
 
The right side of speed - learning to shift left
The right side of speed - learning to shift leftThe right side of speed - learning to shift left
The right side of speed - learning to shift left
 
A Little Prep Goes a Long Way: Planning your next Jira Server Upgrade
A Little Prep Goes a Long Way: Planning your next Jira Server UpgradeA Little Prep Goes a Long Way: Planning your next Jira Server Upgrade
A Little Prep Goes a Long Way: Planning your next Jira Server Upgrade
 
Api fundamentals
Api fundamentalsApi fundamentals
Api fundamentals
 
Automated Configuration & Deployment of Atlassian Applications
Automated Configuration & Deployment of Atlassian ApplicationsAutomated Configuration & Deployment of Atlassian Applications
Automated Configuration & Deployment of Atlassian Applications
 
Directions NA Water-Agile-Fall methodology and NAV implementation
Directions NA Water-Agile-Fall methodology and NAV implementationDirections NA Water-Agile-Fall methodology and NAV implementation
Directions NA Water-Agile-Fall methodology and NAV implementation
 
Product Managers are from Pluto and UXers are from Uranus
Product Managers are from Pluto and UXers are from UranusProduct Managers are from Pluto and UXers are from Uranus
Product Managers are from Pluto and UXers are from Uranus
 
A Cloud- and Container-Based Approach to Microservices-Powered Workflows (Cod...
A Cloud- and Container-Based Approach to Microservices-Powered Workflows (Cod...A Cloud- and Container-Based Approach to Microservices-Powered Workflows (Cod...
A Cloud- and Container-Based Approach to Microservices-Powered Workflows (Cod...
 
DevOps for service desk automation
DevOps for service desk automationDevOps for service desk automation
DevOps for service desk automation
 
The agile elephant in the room
The agile elephant in the roomThe agile elephant in the room
The agile elephant in the room
 
Patterns of enterprise application architecture
Patterns of enterprise application architecturePatterns of enterprise application architecture
Patterns of enterprise application architecture
 
Directions NA Choosing the best possible Azure platform for NAV
Directions NA Choosing the best possible Azure platform for NAVDirections NA Choosing the best possible Azure platform for NAV
Directions NA Choosing the best possible Azure platform for NAV
 

Viewers also liked

COE2010 Razorleaf ENOVIA SmarTeam and V6 Readiness
COE2010 Razorleaf ENOVIA SmarTeam and V6 ReadinessCOE2010 Razorleaf ENOVIA SmarTeam and V6 Readiness
COE2010 Razorleaf ENOVIA SmarTeam and V6 Readiness
Razorleaf Corporation
 
Moving from Document Management to BOM Management
Moving from Document Management to BOM ManagementMoving from Document Management to BOM Management
Moving from Document Management to BOM Management
Razorleaf Corporation
 
COE2010 Razorleaf Tweaking 3DLive on ENOVIA SmarTeam
COE2010 Razorleaf Tweaking 3DLive on ENOVIA SmarTeamCOE2010 Razorleaf Tweaking 3DLive on ENOVIA SmarTeam
COE2010 Razorleaf Tweaking 3DLive on ENOVIA SmarTeam
Razorleaf Corporation
 

Viewers also liked (20)

COE2010 Razorleaf ENOVIA SmarTeam and V6 Readiness
COE2010 Razorleaf ENOVIA SmarTeam and V6 ReadinessCOE2010 Razorleaf ENOVIA SmarTeam and V6 Readiness
COE2010 Razorleaf ENOVIA SmarTeam and V6 Readiness
 
Merging PLM and Microsoft SharePoint Strategies from GPDIS 2009
Merging PLM and Microsoft SharePoint Strategies from GPDIS 2009Merging PLM and Microsoft SharePoint Strategies from GPDIS 2009
Merging PLM and Microsoft SharePoint Strategies from GPDIS 2009
 
Discovering New Product Introduction (NPI) using Autodesk Fusion Lifecycle
Discovering New Product Introduction (NPI) using Autodesk Fusion LifecycleDiscovering New Product Introduction (NPI) using Autodesk Fusion Lifecycle
Discovering New Product Introduction (NPI) using Autodesk Fusion Lifecycle
 
Design Automation - Simple Solid Works Solutions To Practical Programmatic Pa...
Design Automation - Simple Solid Works Solutions To Practical Programmatic Pa...Design Automation - Simple Solid Works Solutions To Practical Programmatic Pa...
Design Automation - Simple Solid Works Solutions To Practical Programmatic Pa...
 
Automated Design Validation The Solid Works Api
Automated Design Validation The Solid Works ApiAutomated Design Validation The Solid Works Api
Automated Design Validation The Solid Works Api
 
COE2010 Razorleaf ENOVIA SmarTeam Deployment at AS&E
COE2010 Razorleaf ENOVIA SmarTeam Deployment at AS&ECOE2010 Razorleaf ENOVIA SmarTeam Deployment at AS&E
COE2010 Razorleaf ENOVIA SmarTeam Deployment at AS&E
 
Moving from Document Management to BOM Management
Moving from Document Management to BOM ManagementMoving from Document Management to BOM Management
Moving from Document Management to BOM Management
 
Connecting SolidWorks EPDM and ENOVIA V6
Connecting SolidWorks EPDM and ENOVIA V6Connecting SolidWorks EPDM and ENOVIA V6
Connecting SolidWorks EPDM and ENOVIA V6
 
Automating With Excel An Object Oriented Approach
Automating  With  Excel    An  Object  Oriented  ApproachAutomating  With  Excel    An  Object  Oriented  Approach
Automating With Excel An Object Oriented Approach
 
3DVIA Composer for Assembly Instruction Storyboards
3DVIA Composer for Assembly Instruction Storyboards3DVIA Composer for Assembly Instruction Storyboards
3DVIA Composer for Assembly Instruction Storyboards
 
SolidWorks Modeling for Design Automation
SolidWorks Modeling for Design AutomationSolidWorks Modeling for Design Automation
SolidWorks Modeling for Design Automation
 
AU 2014: Autodesk PLM 360 Success Story with Inphi (PPT)
AU 2014: Autodesk PLM 360 Success Story with Inphi (PPT)AU 2014: Autodesk PLM 360 Success Story with Inphi (PPT)
AU 2014: Autodesk PLM 360 Success Story with Inphi (PPT)
 
Sww 2006 Redesigning Processes For Solid Works
Sww 2006   Redesigning Processes For Solid WorksSww 2006   Redesigning Processes For Solid Works
Sww 2006 Redesigning Processes For Solid Works
 
ENOVIA v6 R2013x Tips and Tricks
ENOVIA v6 R2013x Tips and TricksENOVIA v6 R2013x Tips and Tricks
ENOVIA v6 R2013x Tips and Tricks
 
Sww 2007 Lets Get Ready To Automate
Sww 2007   Lets Get Ready To AutomateSww 2007   Lets Get Ready To Automate
Sww 2007 Lets Get Ready To Automate
 
Deploying DriveWorks Throughout the Organization
Deploying DriveWorks Throughout the OrganizationDeploying DriveWorks Throughout the Organization
Deploying DriveWorks Throughout the Organization
 
COE2010 Razorleaf Setting Up Catalogs in ENOVIA SmarTeam
COE2010 Razorleaf Setting Up Catalogs in ENOVIA SmarTeamCOE2010 Razorleaf Setting Up Catalogs in ENOVIA SmarTeam
COE2010 Razorleaf Setting Up Catalogs in ENOVIA SmarTeam
 
Why Product Structure Matters
Why Product Structure MattersWhy Product Structure Matters
Why Product Structure Matters
 
COE2010 Razorleaf Tweaking 3DLive on ENOVIA SmarTeam
COE2010 Razorleaf Tweaking 3DLive on ENOVIA SmarTeamCOE2010 Razorleaf Tweaking 3DLive on ENOVIA SmarTeam
COE2010 Razorleaf Tweaking 3DLive on ENOVIA SmarTeam
 
COE2010 Razorleaf SmarTeam Attribute Mappings for Word and Excel
COE2010 Razorleaf SmarTeam Attribute Mappings for Word and ExcelCOE2010 Razorleaf SmarTeam Attribute Mappings for Word and Excel
COE2010 Razorleaf SmarTeam Attribute Mappings for Word and Excel
 

Similar to COE 2016: Technical Data Migration Made Simple

Similar to COE 2016: Technical Data Migration Made Simple (20)

50 Shades of Data - JEEConf 2018 - Kyiv, Ukraine
50 Shades of Data - JEEConf 2018 - Kyiv, Ukraine50 Shades of Data - JEEConf 2018 - Kyiv, Ukraine
50 Shades of Data - JEEConf 2018 - Kyiv, Ukraine
 
Introduction to Azure DocumentDB
Introduction to Azure DocumentDBIntroduction to Azure DocumentDB
Introduction to Azure DocumentDB
 
Transform Legacy Data Stores with Microsoft Azure and Precisely
Transform Legacy Data Stores with Microsoft Azure and PreciselyTransform Legacy Data Stores with Microsoft Azure and Precisely
Transform Legacy Data Stores with Microsoft Azure and Precisely
 
50 Shades of Data – how, when and why Big,Relational,NoSQL,Elastic,Graph,Even...
50 Shades of Data – how, when and why Big,Relational,NoSQL,Elastic,Graph,Even...50 Shades of Data – how, when and why Big,Relational,NoSQL,Elastic,Graph,Even...
50 Shades of Data – how, when and why Big,Relational,NoSQL,Elastic,Graph,Even...
 
DOES16 London - Better Faster Cheaper .. How?
DOES16 London - Better Faster Cheaper .. How? DOES16 London - Better Faster Cheaper .. How?
DOES16 London - Better Faster Cheaper .. How?
 
Endeca Performance Considerations
Endeca Performance ConsiderationsEndeca Performance Considerations
Endeca Performance Considerations
 
Data Platform in the Cloud
Data Platform in the CloudData Platform in the Cloud
Data Platform in the Cloud
 
Operations for databases – The DevOps journey
Operations for databases – The DevOps journey Operations for databases – The DevOps journey
Operations for databases – The DevOps journey
 
Pivotal - Advanced Analytics for Telecommunications
Pivotal - Advanced Analytics for Telecommunications Pivotal - Advanced Analytics for Telecommunications
Pivotal - Advanced Analytics for Telecommunications
 
Copy data management
Copy data managementCopy data management
Copy data management
 
DSR Microservices (Day 1, Part 1)
DSR Microservices (Day 1, Part 1)DSR Microservices (Day 1, Part 1)
DSR Microservices (Day 1, Part 1)
 
Data Infra and Data Access in Nubank
Data Infra and Data Access in NubankData Infra and Data Access in Nubank
Data Infra and Data Access in Nubank
 
Pragmatic CQRS with existing applications and databases (Digital Xchange, May...
Pragmatic CQRS with existing applications and databases (Digital Xchange, May...Pragmatic CQRS with existing applications and databases (Digital Xchange, May...
Pragmatic CQRS with existing applications and databases (Digital Xchange, May...
 
Introduction and Getting Started with FME 2017
Introduction and Getting Started with FME 2017Introduction and Getting Started with FME 2017
Introduction and Getting Started with FME 2017
 
It's a wrap - closing keynote for nlOUG Tech Experience 2017 (16th June, The ...
It's a wrap - closing keynote for nlOUG Tech Experience 2017 (16th June, The ...It's a wrap - closing keynote for nlOUG Tech Experience 2017 (16th June, The ...
It's a wrap - closing keynote for nlOUG Tech Experience 2017 (16th June, The ...
 
1Spatial Australia: Introduction and getting started with fme 2017
1Spatial Australia: Introduction and getting started with fme 20171Spatial Australia: Introduction and getting started with fme 2017
1Spatial Australia: Introduction and getting started with fme 2017
 
Introduction to Neo4j and .Net
Introduction to Neo4j and .NetIntroduction to Neo4j and .Net
Introduction to Neo4j and .Net
 
Data Management
Data ManagementData Management
Data Management
 
TIBCO Advanced Analytics Meetup (TAAM) - June 2015
TIBCO Advanced Analytics Meetup (TAAM) - June 2015TIBCO Advanced Analytics Meetup (TAAM) - June 2015
TIBCO Advanced Analytics Meetup (TAAM) - June 2015
 
Getting Started with FME 2017
Getting Started with FME 2017Getting Started with FME 2017
Getting Started with FME 2017
 

More from Razorleaf Corporation

More from Razorleaf Corporation (14)

COE 2017: Your first 3DEXPERIENCE customization
COE 2017: Your first 3DEXPERIENCE customizationCOE 2017: Your first 3DEXPERIENCE customization
COE 2017: Your first 3DEXPERIENCE customization
 
COE 2017: Atomic Content
COE 2017: Atomic ContentCOE 2017: Atomic Content
COE 2017: Atomic Content
 
Three Approaches to Integration that Deliver Greater PLM Value
Three Approaches to Integration that Deliver Greater PLM ValueThree Approaches to Integration that Deliver Greater PLM Value
Three Approaches to Integration that Deliver Greater PLM Value
 
COE 2016: 10 Cool Tools for 2016
COE 2016: 10 Cool Tools for 2016COE 2016: 10 Cool Tools for 2016
COE 2016: 10 Cool Tools for 2016
 
Autdoesk PLM 360 to PDM Integration with Jitterbit
Autdoesk PLM 360 to PDM Integration with JitterbitAutdoesk PLM 360 to PDM Integration with Jitterbit
Autdoesk PLM 360 to PDM Integration with Jitterbit
 
DriveWorks World 2016 - 13 lessons in 12 years
DriveWorks World 2016  - 13 lessons in 12 yearsDriveWorks World 2016  - 13 lessons in 12 years
DriveWorks World 2016 - 13 lessons in 12 years
 
AU 2015: Enterprise, Beam Me Up: Inphi's Enterprise PLM Solution (Tech Paper)
AU 2015: Enterprise, Beam Me Up: Inphi's Enterprise PLM Solution (Tech Paper)AU 2015: Enterprise, Beam Me Up: Inphi's Enterprise PLM Solution (Tech Paper)
AU 2015: Enterprise, Beam Me Up: Inphi's Enterprise PLM Solution (Tech Paper)
 
AU 2015: Enterprise, Beam Me Up: Inphi's Enterprise PLM Solution (PPT)
AU 2015: Enterprise, Beam Me Up: Inphi's Enterprise PLM Solution (PPT)AU 2015: Enterprise, Beam Me Up: Inphi's Enterprise PLM Solution (PPT)
AU 2015: Enterprise, Beam Me Up: Inphi's Enterprise PLM Solution (PPT)
 
AU 2014: Autodesk PLM 360 Success Story with Inphi (TECH PAPER)
AU 2014: Autodesk PLM 360 Success Story with Inphi (TECH PAPER)AU 2014: Autodesk PLM 360 Success Story with Inphi (TECH PAPER)
AU 2014: Autodesk PLM 360 Success Story with Inphi (TECH PAPER)
 
Automating Analysis with the API
Automating Analysis with the APIAutomating Analysis with the API
Automating Analysis with the API
 
Automating SolidWorks with Excel
Automating SolidWorks with ExcelAutomating SolidWorks with Excel
Automating SolidWorks with Excel
 
Solving Iterative Design Problems with TactonWorks
Solving Iterative Design Problems with TactonWorksSolving Iterative Design Problems with TactonWorks
Solving Iterative Design Problems with TactonWorks
 
Paul Gimbel - Presentation Opening Quotes
Paul Gimbel - Presentation Opening QuotesPaul Gimbel - Presentation Opening Quotes
Paul Gimbel - Presentation Opening Quotes
 
Sww 2008 Automating Your Designs Excel, Vba And Beyond
Sww 2008   Automating Your Designs   Excel, Vba And BeyondSww 2008   Automating Your Designs   Excel, Vba And Beyond
Sww 2008 Automating Your Designs Excel, Vba And Beyond
 

Recently uploaded

TECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service providerTECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service provider
mohitmore19
 

Recently uploaded (20)

Chinsurah Escorts ☎️8617697112 Starting From 5K to 15K High Profile Escorts ...
Chinsurah Escorts ☎️8617697112  Starting From 5K to 15K High Profile Escorts ...Chinsurah Escorts ☎️8617697112  Starting From 5K to 15K High Profile Escorts ...
Chinsurah Escorts ☎️8617697112 Starting From 5K to 15K High Profile Escorts ...
 
%in kaalfontein+277-882-255-28 abortion pills for sale in kaalfontein
%in kaalfontein+277-882-255-28 abortion pills for sale in kaalfontein%in kaalfontein+277-882-255-28 abortion pills for sale in kaalfontein
%in kaalfontein+277-882-255-28 abortion pills for sale in kaalfontein
 
SHRMPro HRMS Software Solutions Presentation
SHRMPro HRMS Software Solutions PresentationSHRMPro HRMS Software Solutions Presentation
SHRMPro HRMS Software Solutions Presentation
 
%in Harare+277-882-255-28 abortion pills for sale in Harare
%in Harare+277-882-255-28 abortion pills for sale in Harare%in Harare+277-882-255-28 abortion pills for sale in Harare
%in Harare+277-882-255-28 abortion pills for sale in Harare
 
%in ivory park+277-882-255-28 abortion pills for sale in ivory park
%in ivory park+277-882-255-28 abortion pills for sale in ivory park %in ivory park+277-882-255-28 abortion pills for sale in ivory park
%in ivory park+277-882-255-28 abortion pills for sale in ivory park
 
%in Midrand+277-882-255-28 abortion pills for sale in midrand
%in Midrand+277-882-255-28 abortion pills for sale in midrand%in Midrand+277-882-255-28 abortion pills for sale in midrand
%in Midrand+277-882-255-28 abortion pills for sale in midrand
 
%in tembisa+277-882-255-28 abortion pills for sale in tembisa
%in tembisa+277-882-255-28 abortion pills for sale in tembisa%in tembisa+277-882-255-28 abortion pills for sale in tembisa
%in tembisa+277-882-255-28 abortion pills for sale in tembisa
 
Introducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) SolutionIntroducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) Solution
 
Unlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language ModelsUnlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language Models
 
8257 interfacing 2 in microprocessor for btech students
8257 interfacing 2 in microprocessor for btech students8257 interfacing 2 in microprocessor for btech students
8257 interfacing 2 in microprocessor for btech students
 
Exploring the Best Video Editing App.pdf
Exploring the Best Video Editing App.pdfExploring the Best Video Editing App.pdf
Exploring the Best Video Editing App.pdf
 
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...
Crypto Cloud Review - How To Earn Up To $500 Per DAY Of Bitcoin 100% On AutoP...
 
%in tembisa+277-882-255-28 abortion pills for sale in tembisa
%in tembisa+277-882-255-28 abortion pills for sale in tembisa%in tembisa+277-882-255-28 abortion pills for sale in tembisa
%in tembisa+277-882-255-28 abortion pills for sale in tembisa
 
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
 
%in kempton park+277-882-255-28 abortion pills for sale in kempton park
%in kempton park+277-882-255-28 abortion pills for sale in kempton park %in kempton park+277-882-255-28 abortion pills for sale in kempton park
%in kempton park+277-882-255-28 abortion pills for sale in kempton park
 
The Top App Development Trends Shaping the Industry in 2024-25 .pdf
The Top App Development Trends Shaping the Industry in 2024-25 .pdfThe Top App Development Trends Shaping the Industry in 2024-25 .pdf
The Top App Development Trends Shaping the Industry in 2024-25 .pdf
 
Define the academic and professional writing..pdf
Define the academic and professional writing..pdfDefine the academic and professional writing..pdf
Define the academic and professional writing..pdf
 
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
 
The Ultimate Test Automation Guide_ Best Practices and Tips.pdf
The Ultimate Test Automation Guide_ Best Practices and Tips.pdfThe Ultimate Test Automation Guide_ Best Practices and Tips.pdf
The Ultimate Test Automation Guide_ Best Practices and Tips.pdf
 
TECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service providerTECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service provider
 

COE 2016: Technical Data Migration Made Simple

Editor's Notes

  1. Ask everyone to play along in a game of Pictionary, and draw a CAT and then a FISH, have them connect it into CATFISH