Move Apache Spark, Hadoop & other big data applications to the cloud with Amazon EMR (Level 300)

Organizations can use Amazon EMR to run petabyte-scale analysis using Apache Spark, Hadoop and other open source frameworks at less than half of the cost of traditional on-premises solutions. Amazon EMR makes it easy to set up, operate, and scale big data environments by automating time-consuming tasks like provisioning capacity and tuning clusters, and runs applications faster than open source Apache Spark. Join this session to learn more about Amazon EMR and why it is the best place for your analytics workloads.

Melody Yang, Senior Analytics Specialist Solutions Architect, AWS

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Beyond batch processing - real-time analytics at scale with Apache Flink (Level 300)
Beyond batch processing - real-time analytics at scale with Apache Flink (Level 300)

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Deliver better customer experiences with machine learning in real-time (Level 300)
Deliver better customer experiences with machine learning in real-time (Level 300)

Businesses are increasingly using machine learning (ML) to make near-real-time decisions