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DATA INTEGRATION & BEYOND
DIMENSIONS & ARCHITECTURES
Christoph F. Strnadl
VP Innovation & Architecture | CTO Office
Lead SAG Blockchain Initiative
EUROPEAN BIG DATA VALUE FORUM
HELSINKI | 15 OCTOBER 2019
v1.00
Globalization 4.0
Cloud computing
Convergence of IT & OT
Industry 4.0 | IIoT
IoT
AI / ML
‘Everything as a Service’ (XaaS)
Edge computing
Shortage of skilled workers
Smart Products / Smart Services
Data Security & Privacy
Data Accessibility & Sharing
5G
LPWAN
Self Service capabilities
MARKET & ECONOMIC TRENDS
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.002
Big Data
… AGI
A truly
connected
World
The revolution has already started…
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.003
«A TRULY CONNECTED WORLD»
WHAT DOES THAT REALLY MEAN?
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.004
A Tsunami of
MICRO-
APPLICATIONs
is emerging
Cloud based applications
continue to eat up
enterprise apps
Demand is moving
from data acquisition
to
DATA INTEGRATION
Integration of Applications,
IoT Devices, Clouds and
Data to drive operational
excellence & superior
customer experience
INNOVATIONS
will be increasingly
based on
PLATFORMS
Openness and ‘freedom of
choice’ is a key requirement
CHALLENGES
INTEGRATION NEEDS BECOME UBIQUITOUS
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.005
PERVASIVE
INTEGRATION
On-Premises
Applications and Data Sources
EPR DWH
MES
Subsidiaries
Business
Process
Networks
Business
Partners
Mobile Apps
Social Networks
“Things”
SaaS/Cloud
Services
INTEGRATION
PLATFORM
CHALLENGES
3 DIMENSIONS OF INTEGRATION
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.006
AUTOMATION
TECHNOLOGY
ON PREMISE
CLASSIC IT
IT SPECIALISTS
(NON IT) DOMAIN EXPERTS
CLOUD | SaaS
IT/OT CONVERGENCE
HYBRID INTEGRATION
KNOWLEDGEINTEGRATION
HYBRID INTEGRATION
HOW OUR CUSTOMERS SEE THEMSELVES
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.007
SWITZERLAND
FINANCIAL
SERVICES
FRANCE
AGRICULTURAL
GROUP
Legacy Custom
ERP
ON-PREMISE
SCM
SaaS
SaaS
SaaS
Custom
SaaS
PUBLIC CLOUD
Custom
PRIVATE CLOUD
HYBRID INTEGRATION
CHALLENGES AND APPROACH
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.008
CHALLENGES
 avoid point-to-point integration
spaghetti in the Cloud
 still need app-specific integration
skills
 provide single point of visibility
and governance
iPaaS STATE OF THE MARKET
on-premise centric solutions
 existing ESB vendors use
traditional tooling
 migrate logic to cloud runtimes
cloud centric solutions
 good coverage for SaaS-2-SaaS
connectivity
 limited in on-premise integration
hybrid solutions
 flexibility to provide tools for both,
on-premises and cloud integration
 “self-service” capabilities for cloud
apps
wM Integration
Server
wM Integration
Server in Cloud
webMethods.io
iPaaS
wM CloudStreams
IT/OT CONVERGENCE
9
THIN EDGE
local | paint station
IT/OT CONVERGENCE
CUSTOMER REQUIREMENTS
Deployment local | paint station
ASSET | DEVICE
on-site | plant
THICK EDGE
cloud
GLOBAL
PLATFORM
DÜRR
Paint Robot
DÜRR
Paint Robot
DÜRR
Paint Robot
DÜRR
Data Recorder
CUMULOCITY IoT
THICK EDGE
APAMA
IoT PLATFORM
CUMULOCITY
IoT CORE
Data Frequency 4 – 20 ms 200 ms
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0010
«STOP CONVEYOR» MESSAGE
RULE
classical «enterprise
integration»
IT/OT CONVERGENCE
IOT/IIOT/INDUSTRY 4.0 LONG PLAY
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0011
IoT
ENDPOINTS
IoT
EDGE PLATFORM
IoT
(CLOUD) PLATFORM
ENTERPRISE
APPLICATIONS
EXTERNAL
CUSTOMERS
ERP / SAP
DWH
WORKFLOW
STORAGE
OPTIONS
OTHER
SAAS /
CLOUD
API
IOT GATEWAYS
INTEGRATION
AGENT
API
B2B / EDI
Local
Communication
Long Range
Communication
Internet /
Intranet
Internet
THIN EDGE THICK EDGE
Customer
Intranet
classic IoT
«End-to-End IoT»
THIN EDGE
DEVICE
THICK EDGE
SERVER
IoT (CLOUD)
PLATFORM
KNOWLEDGE INTEGRATION
STREAMING (REAL TIME) ANALYTICS…
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0012
• Desired rotation speed
• Actual rotation speed
• Valve air stream
• Released car finish
Unsteady air supply Malfunctioning optical sensor
KNOWLEDGE INTEGRATION
… TYPICALLY NEED SPECIAL PROGRAMMING SKILLS
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0013
 EPL (Event Programming Language) is a
domain specific language (DSL) for the fast and
efficient development of event processing
applications
 EPL is loosely modeled after the Java language
with suitable CEP-motivated extensions
 actions (“action alertUser() {…} “
 listeners (“on SMSEvent {…} ”)
KNOWLEDGE INTEGRATION
… BUT THE ENGINEERS?
15 OCT 2019
Peak Counter Torque Axis 1
Stop conveyor if a threshold is breached for the second time
Streaming Analytics
Time
Torque
Threshold
1 2
Body
Start
Body
End
Alarm
TASK
Counter Threshol
d
Threshol
d
Gate
PaintingFinis
h
Event
PaintingStar
t
Event
Drive1.Torqu
e
Torque > Threshold
Alarm
OperationCount > 1
SOLUTION | ANALYTICS BUILDER
DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0014
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0015
KNOWLEDGE INTEGRATION
SELF-SERVICE ANALYTICS | IDENTIFY
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0016
Identify interesting
pattern1
KNOWLEDGE INTEGRATION
SELF-SERVICE ANALYTICS | IDENTIFY
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0017
Identify interesting
pattern1
KNOWLEDGE INTEGRATION
SELF-SERVICE ANALYTICS | CHECK
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0018
Identify interesting pattern1
Check for past
regularities2
KNOWLEDGE INTEGRATION
SELF-SERVICE ANALYTICS | CORRELATE
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0019
Identify interesting pattern1
Check for past regularities2
Look for indicators3
KNOWLEDGE INTEGRATION
SELF-SERVICE ANALYTICS | CORRELATE
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0020
Identify interesting pattern1
Check for past regularities2
Look for indicators3
KNOWLEDGE INTEGRATION
SELF-SERVICE ANALYTICS |
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0021
Identify interesting pattern1
Check for past regularities2
Look for early indicators3
Memorize early indicator4
KNOWLEDGE INTEGRATION
SELF-SERVICE ANALYTICS | MONITOR
15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0022
Identify interesting pattern1
Check for past regularities2
Look for early indicators3
Memorize early indicator4
Automatically monitor
for future indicators5
@archimate
3 DIMENSIONS of
INTEGRATION
1 PLATFORM

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  • 13. KNOWLEDGE INTEGRATION … TYPICALLY NEED SPECIAL PROGRAMMING SKILLS 15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0013  EPL (Event Programming Language) is a domain specific language (DSL) for the fast and efficient development of event processing applications  EPL is loosely modeled after the Java language with suitable CEP-motivated extensions  actions (“action alertUser() {…} “  listeners (“on SMSEvent {…} ”)
  • 14. KNOWLEDGE INTEGRATION … BUT THE ENGINEERS? 15 OCT 2019 Peak Counter Torque Axis 1 Stop conveyor if a threshold is breached for the second time Streaming Analytics Time Torque Threshold 1 2 Body Start Body End Alarm TASK Counter Threshol d Threshol d Gate PaintingFinis h Event PaintingStar t Event Drive1.Torqu e Torque > Threshold Alarm OperationCount > 1 SOLUTION | ANALYTICS BUILDER DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0014
  • 15. 15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0015
  • 16. KNOWLEDGE INTEGRATION SELF-SERVICE ANALYTICS | IDENTIFY 15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0016 Identify interesting pattern1
  • 17. KNOWLEDGE INTEGRATION SELF-SERVICE ANALYTICS | IDENTIFY 15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0017 Identify interesting pattern1
  • 18. KNOWLEDGE INTEGRATION SELF-SERVICE ANALYTICS | CHECK 15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0018 Identify interesting pattern1 Check for past regularities2
  • 19. KNOWLEDGE INTEGRATION SELF-SERVICE ANALYTICS | CORRELATE 15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0019 Identify interesting pattern1 Check for past regularities2 Look for indicators3
  • 20. KNOWLEDGE INTEGRATION SELF-SERVICE ANALYTICS | CORRELATE 15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0020 Identify interesting pattern1 Check for past regularities2 Look for indicators3
  • 21. KNOWLEDGE INTEGRATION SELF-SERVICE ANALYTICS | 15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0021 Identify interesting pattern1 Check for past regularities2 Look for early indicators3 Memorize early indicator4
  • 22. KNOWLEDGE INTEGRATION SELF-SERVICE ANALYTICS | MONITOR 15 OCT 2019 DATA INTEGRATION & BEYOND - DIMENSIONS & ARCHITECTURES (Christoph F. Strnadl) - v1.0022 Identify interesting pattern1 Check for past regularities2 Look for early indicators3 Memorize early indicator4 Automatically monitor for future indicators5