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Speaker "Vladimir Bacvanski" Details Back

 

Topic

Software Architectures for Streaming Applications

Abstract

Streaming is the next step in the evolution of Big Data technologies and it is becoming a necessary part of systems designed to handle high volume of events. In this talk, we begin with characteristics of Stream Processing, and then discuss the dominant architectures for Streaming systems and continue into examples of technologies and application solutions for streaming applications. We compare the important technologies, such as Akka Streams, Storm, Spark, Flink and Apache Beam. We explore Quality Attributes of such systems as a mechanism for making architectural decisions and then discuss the common architectural viewpoints for designing and describing streaming systems.

Outline:
* Stream Processing: What is it?
* Architectures for Stream Processing
* Akka, Streaming, and Backpressure
* Apache Storm: The Dedicated Stream system
* Apache Spark Streaming: A versatile in-memory batch/streaming system
* Apache Flink: Novel integration of batch and streaming
* Apache Beam: The common API layer
* Quality Attributes and Architectural Scenarios for Streaming
* Common Architectural Viewpoints for Streaming Applications

Profile

Dr. Vladimir Bacvanski is a Principal Architect with Strategic Architecture at PayPal. His work spans Data Platforms, Privacy, and Developer Experience as well as the introduction of Advanced Technologies. Before joining PayPal, Vladimir was the CTO and a founder of a custom development and consulting firm and has advised and worked with clients ranging from high-tech startups to financial and government organizations. Vladimir is the author of the popular O'Reilly course "Introduction to Big Data" and a coauthor of the O'Reilly course on Kafka. Vladimir received his PhD degree in Computer Science from RWTH Aachen in Germany.