Analytics workloads in the cloud come in two shapes – exploratory, AI/ML workloads and predictable, repeatable reporting workloads.
We all know that good architecture is crucial for modernising predictable workloads as well as taking exploratory workloads into production: but what does best-in-class architecture look like?
Teradata on AWS offers a unique, single platform that can handle both types of architectures and operate at-scale, delivering more efficiency with less time-to-market and lower costs.
Join Teradata and AWS in this co-presentation, designed for architects but also applicable for data analysts and scientists.
This session will provide a clear understanding of:
- Common architectures for exploratory vs predictable analytics workload and requirements for each
- Latest AWS capabilities that will help architect AI/ML workloads well
- Areas of modernisation that will make predictable reporting workloads cloud-ready
- Teradata Vantage capabilities that allow mixed workloads to shine in the cloud
Manager, PSA - Data & Analytics, APJ AWS
Cloud Architecture Leader, APJ Teradata