Google Cloud Dataproc - Managed Hadoop & Spark on the Google Cloud Platform

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In this talk James Malone ( a Dataproc expert and Product Manager at Google is going to be talking about Google Dataproc, a managed Hadoop & Spark on the Google Cloud Platform ( ).

Cloud Dataproc, running Spark/Hadoop on Google Cloud Platform (GCP)

• Benefits GCP offers for these tools

• What is Cloud Dataproc; how does Dataproc position against other hosted Hadoop environments, such as Amazon's Elastic MapReduce (EMR)?

• Why use Spark/Hadoop?

Apache Beam - what is it and why does it matter?

• How does it work with Cloud Dataflow?

• Use cases for Beam over something like Spark or Hadoop

• How Beam relates to Dataproc (Spark/Hadoop)

The value of Dataproc

• How GCP can make Spark/Hadoop actually economical, fast, easy

Q&A session