Designing and managing a cost-effective data platform in Azure Synapse Analytics
Azure Synapse Analytics is a powerful data platform, but it can also be expensive if you don't know what you're doing. In this session, we will go through the different components of Azure Synapse Analytics and discuss how to design a cost-effective data platform.
We will cover topics such as choosing the right pricing tier, optimizing data storage and processing, and leveraging built-in cost management features. We will also discuss how to optimize your data platform for cost efficiency by using features such as serverless compute, pre purchase compute and reserved capacity.
Attendees will leave with a better understanding of how to design and manage their Azure Synapse Analytics platform for cost efficiency and how to design a cost-effective data platform that meets your organization's needs.
Topics we will cover:
- Pricing Models for compute Resources in Azure Synapse Analytics
- Storage Types and Tiers
- Pricing Models
- Optimizing Cost with Resource-Scaling
- Using serverless compute and reserved capacity options for cost savings
Erwin de Kreuk
Data Platform MVP | Lead Data and AI |Public Speaker | InSpark | Innovate to Accelerate
Rotterdam, The NetherlandsView Speaker Profile