#AzureSQLDW cost savings with optimized for elasticity and Azure Functions – part 1

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Azure SQL Data Warehouse is Microsoft’s SQL analytics platform, the backbone of your Enterprise Data Warehouse (EDW). The service is designed to allow customers to elastically, and independently, scale compute and storage with massively parallel processing. SQL DW integrates seamlessly with big data stores and acts as a hub to your data marts and cubes for an optimized and tailored performance of your EDW. Azure SQL DW offers guaranteed 99.9% high availability, compliance, advanced security, and tight integration with upstream and downstream services so you can build a data warehouse that fits your needs. Azure SQL DW is the first and only service enabling enterprises to replicate their data everywhere with global availability in more than 30 regions. Today, we will show you how to push data quickly into Azure Analysis Services for optimized performance.

 

One of the key features of Azure SQL Data Warehouse is our decoupled compute and storage model. For key price and performance, it is important that you choose the performance level that matches your current workload, not just the maximum needed. This blog post is first of a two-part blog series covering how to use Azure Function App to save money by automating compute levels.

 

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Read about it in the Azure blog.

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