Broadcast Date: November 14, 2018
Customers running on-premises deployments of Apache Hadoop, Spark, and data warehouse appliances are often challenged by high costs, rigid configurations, and limited scale. Migrating analytics, data processing (ETL), and data science workloads to Amazon Web Services, including Amazon EMR, helps save costs, increase agility, and improve performance at scale. This webinar explains how to identify the components and workflows in your current environment and shares best practices to migrate these workloads to AWS.
- Identify the components and workflows in your current environment
- Explore best practices to migrate these workloads to AWS
- Learn how to get started with Amazon EMR
Who Should Attend?
Data Engineers, Data Scientists, Architects, Developers, CIO, CDO
- Bruno Faria, Solutions Architect, AWS
To learn more about the services featured in this talk, please visit:
Service How To
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