Automated Data and Analytics Workload Modernization

Moving on-premises legacy data and analytics workloads to the cloud is unavoidable if you want to overcome infrastructural constraints, facilitate proactive analytics, and lower costs.

You need a service that enables seamless scalability for petabyte-scale data processing, interactive analytics, and machine learning. However, end-to-end, automated workload transformation and optimization on serverless services is not straightforward.

It is important for organizations to be able to accelerate code transformation without increasing risk and productionize data workloads at the highest standards possible.

Join us to learn the following:

• How serverless architecture addresses productionization concerns
• Overview of Amazon EMR and Amazon EMR Serverless along with the latest features
• A demo of automated and intelligent transformation of on-premises workloads
• Meeting SLAs and seamlessly transitioning migrated workloads into production

James Kobielus

Senior Research Director - Data Management,
TDWI

Veena Vasudevan

Senior Big Data Solutions Architect,
AWS

Samiksha Saraf

Principal Cloud Architect,
Impetus Technologies Inc.