Got tables with millions or billions of rows but can't truncate or archive to reduce their sizes? How is that affecting your maintenance window, performance and availability? Is your CIO/CFO mandating DBAs to leverage "cheap", "elastic compute/storage capacity" and "infinite scale" capabilities of the cloud after reading the glossy brochures? Do your users want all data, including cold/archive data always online? All this while IT budgets remain flat or are being reduced?
Find out how StretchDB can help solve some of these problems by leveraging Azure without requiring application changes in most cases. We will cover core StretchDB scenarios, recommended use cases and non-use cases. We walk through key tasks involved in enabling a database for stretch, query behavior, security model and impact to existing high availability and disaster recovery processes. We will then review existing limitations, workarounds and some recommended practices based on lessons learned from early adopters.