Distributed Real-Time Stream Processing: Why and How
Please log in to watch this conference skillscast.
The demand for stream processing is increasing. Immense amounts of data has to be processed fast from a rapidly growing set of disparate data sources. This pushes the limits of traditional data processing infrastructures. These stream-based applications, include trading, social networks, the Internet of Things, and system monitoring, are becoming more and more important. A number of powerful, easy-to-use open source platforms have emerged to address this.
Petr's goal is to provide a comprehensive overview of modern streaming solutions and to help fellow developers with picking the best possible solution for their particular use-case. Join this talk if you are thinking about, implementing, or have already deployed a streaming solution.
Have a look at Spark Streaming, Storm, Samza, and Flink.
YOU MAY ALSO LIKE:
Thank you to our sponsors and partners
Platinum
Gold
Silver
Bronze
Partners
Distributed Real-Time Stream Processing: Why and How
Petr Zapletal
Petr is a Consultant who specializes in the design and implementation of highly scaleable, reactive and resilient distributed systems. He is a functional programming and open source enthusiast and has expertise in the area of big data and machine classification techniques.