AWS Fireside Chat: The Case for Migrating from On-Premises Big Data to AWS

AWS Fireside Chat: The Case for Migrating from On-Premises Big Data to AWS

AWS Fireside Chat: The Case for Migrating from On-Premises Big Data to AWS
Businesses worldwide are discovering the power of new big data processing and analytics frameworks like Apache Hadoop and Apache Spark, but they are also discovering some of the challenges of operating these technologies in on-premises data lake environments. They may also have concerns about the future of their current distribution vendor. To address this, AWS is making it easier than ever to migrate to Amazon EMR. This fireside chat will be your comprehensive guide to offer sound business and technical advice on how to move from on-premises big data deployments to EMR.
In this episode, we’ll talk about:
– Why to migrate big data to AWS (including Apache Spark and Hadoop)
– The decisions involved in planning for a migration to Amazon EMR
– The ROI and TCO impact from others who have moved

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