Prescient Devices is the creator of a low-code DataOps solution for the edge. Prescient Devices’ flagship product, Prescient Designer, is a simple, graphical, and programmable SaaS workflow development platform which helps clients to work with time series data at the edge. It enables IT/OT teams, data engineers and system integrators to build and manage agile data pipelines with zero lines of code. Discover how InfluxDB enables Prescient Devices’ clients to aggregate their IIoT sensor data at the edge for easy reporting and dashboards. By using a time series database, their customers make distributed data operations, such as ETL and edge analytics, faster and more convenient for end users. Join this webinar as Pablo Acosta and Ashish Yadav dive into: Prescient Devices’ approach to building advanced edge-to-cloud data pipelines How to store, retrieve, and aggregate data from the edge for distributed data operations Their methodology to using a time series database for distributed ETL and edge analytics

1. 1
How to Manage Your Time Series Data
Pipeline at the Edge with InfluxDB
Pablo Acosta Ph.D.
VP Engineering
Prescient
Ashish Yadav
Director of Software Development
Prescient
www.prescientdevices.com

2. 2
Agenda
• Introduction to Prescient
• Prescient Designer architecture
• Why InfluxDB?
• Prescient Edge Use Cases
• Present & Future of InfluxDB support
• Schedule a demo!
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Pablo Acosta Ph.D.
VP Engineering
pablo.acosta@prescientdevices.com
Ashish Yadav
Director of Software Development
ashish.yadav@prescientdevices.com

3. 3
20
10
Years of IoT
We built end-to-end IoT solutions and deployed
over 500,000+ devices in prior venue
Years of Hardware & System
We built hardware and data solutions to go into
Cisco and Ericsson networking equipment
70
Companies transformed
Helping 70+ companies to transform edge data
operations
Realizing value of edge
data at scale, fast

4. 4
Distributed
programming
Cloud
hosted
Powered by Node-RED
Remote
collaboration
Solution
templates
Machine
learning
End-to-end
security
Recovery
& rollback
Built-in
communication
Sensors &
hardware support
Smart
analytics

5. 5
What do we do?
Workwithdata
from any source at the
edge, in the cloud, or both
• Build solutions in 2 weeks
• Make changes in hours
• Supports most edge
data sources, protocols,
and hardware
• Professional services available
• Acquire, extract, transform,
analyze, visualize, and load
• Deliver data into and process
data from data warehouses,
data lakes, and AI engines
• Edge computing and cloud
computing in the same flow
• Low-code platform to enable
continuous innovation
• 12x faster implementation
and 6x lower cost
• Open ecosystem built on
Node-RED and Node.JS
Createanddeploy
edge-to-cloud solutions
that evolve rapidly
Empowerengineers
to unlock the value of data
and drive innovations

6. 6
Native &
Container
Prescient
Broker
D
E
V
I
C
E
1
Control and data have
separate credentials (users)
• Prescient Edge
Runtime
• Node-RED
• InfluxDB
• TensorFlow
• Prescient Edge
Runtime
• Node-RED
• InfluxDB
• TensorFlow
D
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V
I
C
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n
D A T A
C O N T R O L
Architecture

7. 7
Makemassivenumbersofedgedatasourcesmanageable
DATABASES
DATA
WAREHOUSES
DATA LAKE AI ENGINE
SENSORS CAMERAS EQUIPMENT
FILES DATABASES APIs

8. 8
Why InfluxDB?
 Initially backend use
 Ideally suited for IIoT
 User demand
 First-class Node-RED support
 Open source
 Runs well in low-resource devices

9. 9
Challenges
• Only “by time” retention policy
Periodic check, incrementally drop older samples
• Data rate constraint in edge devices
Add rate limiting node before InfluxDB node, batch writes
• Transition between Influx1.x and 2.x for users
dbrp mapping, help users port their queries, “easydb in” node

10. 10
E D G E A P P L I C A T I O N U S E C A S E S
IIoTandEdge
Solutions
DistributedEdge
DataOps
EdgeData
Workflows
AI Container
Workflows
Workflows

11. 11
UseCase
Smart chemical solution
Saves 8-months
Development time
• 1 application engineer, 2 months (part-time)
• Monitor 100+ physical data parameters,
consistent model between edge and cloud,
perform analytics in edge controller
• Deploy to hundreds of sites
• Continuous innovation
• InfluxDB use
System status logging
Data buffering in case of network or power loss
Generates
Recurring revenue
$
Saves $300K
Development cost

12. 12
UseCase
Industry 4.0 predictive maintenance
Saves 4-months
Development time
• 1 application engineer, 1 week
• Uses vibration sensors to monitor CNC
machine toolset
• Detect errors and prevent damage
• Complete custom solution in 1 week
• InfluxDB for local redundancy
Generates
Recurring revenue
$
Saves $160K
Development cost

13. 13
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14. 14
What is Node-RED
Features
Low Code
Single device
All development is
local to the device
2M
Node-RED downloads (2019)
98%
of Fortune 500 companies use NodeJS
Full-spectrum graphical
development environment
for event-driven applications

15. 15
Prescient Designer

16. 16

17. 17

18. 18
Prescient Designer

19. 19
Dashboard:

20. 20

21. 21
Device Provisioning

22. 22

23. 23
Prescient Edge
Application
Prescient Designer
Device management in the cloud
Prescient Edge
Flows executed at the edge

24. 24
Dashboard:

25. 25
Present Future
• Install InfluxDB on-
premise by default
• “easydb” read node 
same user-friendliness
as query builder in
InfluxDB Cloud
• “easydb” write node
• Make database use accessible
for engineers
• Use InfluxDB for edge buffering
when network connectivity loss

26. 26
We love
projects!
Schedule a Demo
www.prescientdevices.com
Follow Us
@PrescientPDI
Pablo Acosta Ph.D. | VP Engineering
pablo.acosta@prescientdevices.com
Ashish Yadav | Director of Software Development
ashish.yadav@prescientdevices.com