Kirill Pavlov discusses the analytical applications of Spark. Our previous Spark talks focused on the technical, and infrastructural aspects. This talk will go into real world analytical applications using Spark.
This is part III in the Symbol & Key trilogy on Apache Spark. In part I, Alexandre Beaulne gave an account of Spark’s execution and data model - see http://alexandrebeaulne.github.io/sparkslides/. In part II, Junjun Olympia showed how Spark and other popular Big Data technologies fit and play together into an end-to-end ecosystem - see http://www.slideshare.net/junjun1/apache-spark-its-place-within-a-big-data-stack.
Schedule
Symbol & Key is a series of talks organised to support exchanges and foster connections in Hong Kong's Data Science community. The talks are entry-level, but at the vanguard of the discipline, so it should be accessible to aspiring data scientists and experts alike.
All you need is an interest in data, analysis and an urge to share and learn!
Data scientists from all walks are welcome!
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