FME Server Meets the Challenge of Real-time
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FME Server can help organizations meet the challenges of real-time data processing in two main ways. It supports on-demand real-time data which has low velocity and mid-low volume through notification technologies. It also supports continuous real-time data with high velocity and low-high volumes through dedicated engine technologies. Real-time case studies showed how FME Server was used by organizations to fight Australian bushfires and process over 8,000 lightning strikes per minute for a weather network.
FME Server Meets the Challenge of Real-time
- 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
- 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
- 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: [email protected] www.safe.com
Editor's Notes
- #18: HTML 5 WebSockets