Spark Structured Streaming in Practice

26th October 2016 in London at CodeNode

There are 2 other SkillsCasts available from Spark Structured Streaming in Practice and Blockchain Explained

Spark Structured Streaming provides the means to express streaming computations the same way as it would be made with static data. The built-in engine is incrementally and continuously updating the final results as streaming data continues to arrive. We’ll cover how a real life implementation of Spark Structured Streaming on top of a Hadoop Cluster is helping a big online retailer to analyse clickstream data and aggregate it with customer history information.


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Spark Structured Streaming in Practice

Andrei Muraru

Andrei Muraru is a Solution Architect at Bigstep. He has designed and implemented complex big data projects for more than 4 years. Currently, he is focused on large-scale real-time implementations. He is helping customers begin their journey with big data workloads by providing meaningful insights on the products and services that are appropriate for their use case.