Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.
At AppsFlyer, we use Spark for many of our offline processing services. Spark Streaming joined our technology stack a few months ago for real-time work flows, reading directly from Kafka to provide value to our clients in near-real-time.
In this session we will code a real-time dashboard application based on Spark Streaming technology. You will learn how to collect events from Kafka, aggregate them by time window and present aggregated insights in a dashboard.
As always, this is a live coding session, so come prepared with your own device.
Please visit this page: https://bitbucket.org/appsflyer/coding-with-af-spark-streaming
On the page, please follow the "Prerequisites" and "Preparation & Setup" sections.
It's really important to do so **prior** to coming to the meetup!
If you encounter any troubles or have any questions, don't hesitate to ask.
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