7 au 9 mars, 2018
Montréal, Canada
Distributed Stream Data Processing
Let’s talk about stream data processing; where it originated, how it works,
and when to use it. We’ll examine some of the popular platforms used in the
industry today: Storm, Spark, Flink, Kafka Streams, and Microsoft Orleans.
Each uses a conceptually different approach, has a plethora of features,
and works (or doesn’t) best for different use-cases. Understanding how and
when to use which streaming data framework is key.
and when to use it. We’ll examine some of the popular platforms used in the
industry today: Storm, Spark, Flink, Kafka Streams, and Microsoft Orleans.
Each uses a conceptually different approach, has a plethora of features,
and works (or doesn’t) best for different use-cases. Understanding how and
when to use which streaming data framework is key.
David Ostrovsky
Proofpoint
David is a Principal Architect at Proofpoint, a software developer and architect with over 20 years of industry experience, trainer, and author of multiple courses and books. He specializes in big data systems, NoSQL, distributed architectures and cloud computing. When not working, he spends far too much time playing strategy video games and strenuously avoiding physical exercise.
Montréal 2018 sponsored by
