Best Practices for Migrating Big Data Workloads to AWS - AWS Online Tech Talks

To learn more, please visit: https://aws.amazon.com/emr/

"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.

Learning Objectives:
- 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

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