[WSO2Con EU 2018] Patterns for Building Streaming Apps
By WSO2 Team
- 8 Nov, 2018
As the world moves to an era where data is the most valuable asset, being able to efficiently process large volumes of data in real time can help to gain a competitive advantage for businesses. Then, making business decision within milliseconds has become a mandatory need in many domains. Streaming analytics play a key role in making these decisions and is also a vital part of the digital transformation of businesses.
WSO2 Stream Processor provides a high performance, lean, enterprise-ready streaming solution to solve data integration and analytics challenges. It provides real-time, interactive, predictive and batch processing technologies to deal with large volumes of data and generate meaningful decisions/output from it.
This session explains how to enable digital transformation through streaming analytics and how easily streaming applications can be implemented. Suho will discuss the following topics:
- The Architecture of WSO2 Stream Processor
- Understanding streaming constructs
- Patterns of processing data in real-time, incrementally and with intelligence
- Applying patterns when building streaming apps
- Deployment patterns
Suho is a part of the architecture team that drives research and development efforts of WSO2's real-time analytics platform. His expertise is in stream processing and parallel computing solutions. He is the co-founder of WSO2 Siddhi CEP and was previously involved in driving WSO2 Complex Event Processor (now renamed as WSO2 Stream Processor) as a product lead. He also provides technology consulting on customer engagements and does part-time lecturing, mainly focusing on the analytics technology areas.