Mais conteúdo relacionado Semelhante a Teradata and Cisco integrated journey to IoT and Smart city (20) Teradata and Cisco integrated journey to IoT and Smart city1. 1
Teradata and Cisco Integrated Journey to
IoT and Smart City
Session ID: IITIOT-2001
ARTUR BORYCKI
CTO Emerging Partner Engineering, Teradata Labs
@naotar
2. 2
What is Industrial IoT
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Electrification, Automation and
Digitalization are long-term growth
fields for a lot of companies.
Power/Gas Wind Power/Renewables Power Generation Services
Energy Management Building Technologies Mobility
Digital Factory Process Industries/Drives Healthcare
“A single flight
generates 500GB
in jet engine data”
3. 3
Progress is impossible without change, and
those who cannot change their minds cannot
change anything.
THINK DIFFERENTLY
George Bernard Shaw (1856 – 1950)
“
’’
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4. Roles of
IT & OT
Things
vs
Systems
Why a
Platform?
THINK DIFFERENTLY
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5. Operational Technology (OT)
The hardware and software that detects or
causes a change through the direct monitoring
and/or control of physical devices, processes
and events in the enterprise.
—Gartner IT Glossary
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IoT NEEDS IT + OT
6. 6
Real Value Requires a System
(and System of Systems) View
Sensors
Data Store
Analytics
Edge
ACTING THINKING
INVESTMENT
FOCUS
System of Systems
Integrate
VALUE
FOCUS
OPTIMIZING
SYSTEMS SCIENCE
or
THEORY
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7. 7
Real Value Requires a System
(and System of Systems) View
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“
’’
The data that are used today are mostly for
anomaly detection and control, not optimisation
and prediction, which provide the greatest value.
The Internet of Things: Mapping The Value Beyond The Hype, McKinsey Global Institute, June 2015
9. 9
Teradata & Cisco Reference Architecture
Strategic
Interactive
Tactical
Real time
Operational
Near Real Time
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12. 12
The Internet of Things:
It’s About The Sensor Data, Stupid!
Even when they
are not lying,
sensors may not
tell the whole
truth
2
Extracting useful
signal requires
“multi-genre”
Analytics – and
additional data
3
Sensors typically
don’t measure
the quantity of
interest directly
4
By itself, sensor
data is
frequently not
actionable
5
Don’t assume that
sensor data is
accurate, complete
and consistent; do
apply Information
Management best-
practices.
Capture raw sensor
data wherever
possible; otherwise,
understand how
sensor data has
been summarised.
Plan to support a
wide variety of
Analytics – path /
pattern / graph /
time-series / text -
just to prepare an
ADS from time-series
data.
Some model scoring
may take place on
the smart device
itself; build models
centrally, but be
prepared to deploy
them widely.
Integrate your Data
Lake and
Data Warehouse
environments, so
that observation
and transaction
data can be joined.
Sensors
sometimes lie
1
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13. 13
99% of data collected from 30,000
sensors on an oil rig was lost before
reaching operational decision makers.
“
’’The Internet of Things: Mapping The Value Beyond The Hype, McKinsey Global Institute, June 2015
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14. 14
Smart + Connected Digital Platform + Teradata
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Advance
Analytics
Smart City Device
Integration
(Data and Control Aggregation,
Data Normalization and Storage, City
Digital Models, Urban Services APIs)
Support Services
(User Managed, ID Mgmt., Role
Based Access Control, Business
Services Portal)
API Management
Urban Services APIs
Smart+Connected Digital Platform
Vertical Applications
(Parking, Lighting, Traffic,
Transportation, Water,
Safety etc.)
Business Intelligence
(Reporting, Analytics,
Dashboards) Internet
Integration Services (Cisco Integration Platform ESB)
Citizen Apps, Enforcement Apps,
Context Aware Location Services
Other Smart
City Platforms
Emergency
Services
Email and SMS
Gateway
Payment
Gateway
Data Lake
Data
Warehouse
Data
Managemen
t
TeradataUnifiedData
Architecture
Dataservice
ML, DL
16. 16
Teradata Integration with Connected Digital
Platform
Cisco CDP expose data to
Teradata over the
application API, data are
loaded using Data Service
Teradata act as a source
of the data and allows
CDP to expose its data
over the source API
(model bases)
Control instructions
are expose from
Teradata UDA and
executed by CDP
integration (analytical
model execution)
21 3
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17. 17
IoT NEEDS TERADATA
• All our old core principals do still count
• We can help bring together IT + OT
• We can handle the volumes of data that STEM industries produce
• We can integrate data from sensors and scientific surveys with ERP and
other back-office data (TAS is a critical value add)
• We can create business systems that allow people to drill down to the
(messy) detail, breaking down internal silos and ensuring provenance
of the data used to make expensive business decisions
• The database has come a long way already (SCRIPT table operator,
dot notation on JSON and XML, geospatial)
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