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December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference
Singapore

Real-time conference sessions

5:05pm–5:45pm Wednesday, 12/07/2016
Takayuki Nishikawa and Ei Yamaguhi explain how Panasonic developed an integrated data analytics platform to analyze the increasing number of home appliances logs from its IoT products, achieving scalability for millions of households and a 10x improvement in processing time with Hadoop and Hive, in the process gaining more reliable knowledge about users’ lifestyles with Spark MLlib.
9:00am–5:00pm Tuesday, 12/06/2016
The real power and value proposition of Apache Spark is in building a unified use case that combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. Through hands-on examples, Sameer Farooqui explores various Wikipedia datasets to illustrate a variety of ideal programming paradigms.