Migrating Apache Spark and Hive from on-premises to Amazon EMR (sponsored by Amazon Web Services)
Customers are migrating their analytics, data processing (ETL), and data science workloads running on Apache Hadoop and Spark from on-premises data centers to AWS. This helps reduce costs, increase availability, and improve performance.
Radhika Ravirala explains how to migrate your workloads to Amazon EMR. Join in to learn the key motivations and benefits from a move to the cloud, along with the architectural changes required and best practices you can use right away.
This session is sponsored by Amazon Web Services.
What you'll learn
- Learn how to migrate your workloads to Amazon EMR
Amazon Web Services
Radhika Ravirala is a solutions architect at Amazon Web Services, where she helps customers craft
distributed big data applications on the AWS platform. Previously, she was a software engineer and designer for technology companies in Silicon Valley. She holds an MS in computer science from San Jose State University.
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