See more FME World Tour 2014 presentations at www.safe.com/recap2014

1. CONNECT. TRANSFORM. AUTOMATE.
FME Server Meets the
Challenge of Real-Time

2. What Generates Real-Time Data?

3. Challenges of Real-Time Data
Data
Volume
Amount of
data
to be
processed

4. Challenges of Real-Time Data
Data Velocity
Rate at
which
Data is
produced

5. What is Real-Time Data?
Data is delivered for processing as it is collected.
2 Classifications
On-Demand Real-Time
Complex Event Processing
Low Data Velocity, Low-Mid Data Volume
Notification Based Technology
Continuous Real-Time
Continuous stream of data
High Data Velocity, Low-High Data Volume
Dedicated Engine Technology

6. What is Real-time Analytics?
=+

7. Event Based Real-Time
(Publishers/Triggers)
Amazon
SQS
Java
Messaging
Service
(JMS)
UDP
Amazon
SNSWeb Sockets
Email
REST APIscheduler
Directory
Watcher
TOPIC
Notification Based Technology

8. Event Based Real-Time
(Publishers/Triggers)
Amazon
SQS
Amazon
SNSWeb Sockets Email
REST API
scheduler
Directory
Watcher
Java
Messaging
Service
(JMS)
UDP

9. Event Based Real-Time
(Actions/Subscribers)
TOPIC
Amazon
SNS
Amazon
SQS
Amazon
S3
Email
FTP
Java
Messaging
Service
(JMS)REST APIWeb Sockets

10. Event Based Real-Time
(Actions/Subscribers)
Amazon
SNS
Amazon
SQS
Amazon
S3
Email
FTP
Java
Messaging
Service
(JMS)
REST API
Web Sockets

11. Success Story
Fighting Australian Bushfires
with FME Cloud

12. Fighting Australian Bushfires
with FME Cloud
1. Mobile App sends location to FME Server via
REST API
2. FME Server performs slope and vegetation
analysis
3. FME Server sends information to Mobile App

13. Event Based Real-Time
DEMO

14. Stream Based Real-Time
(High Velocity Data)
Engine
Data
Stream
Web Socket
TCP/IP
TweetStreamer
JMS
AmazonSQS
Engine
Engine
Engine dedicated to
processing data stream
Engine for other server
tasks
Engine for other server
tasks
FME Server
Engines
Dedicated
Engine
Technology

15. Success Story – Pelmorex
(The Weather Network)

16. Success Story – Pelmorex
(The Weather Network)
8,000 lightning
strikes/minute
Data
Stream
TCP/IP
Rules determine
when to
generate
notifications
Google Earth
Update every
20-30 seconds
Java
Messaging
Service
(JMS)
Engine

17. Stream Based Real-Time
Demo

18. Stream Based Real-Time
Demo

19. Summary
2 Classifications of Real-Time data defined by:
Data
Volume
Data
Velocity
FME Server technology meets the needs of
both
On-Demand Real-Time
Complex Event Processing
Continuous Real-Time
high velocity data stream

20. Thank You!
 Questions?
 For more information:
 info@safe.com
 www.safe.com