Azure SQL Data Warehouse
Azure SQL Data Warehouse is an SQL-based, fully managed, petabyte-scale cloud data warehouse. It’s highly elastic, and it enables you to set up in minutes and scale capacity in seconds. Scale compute and storage independently, which allows you to burst compute for complex analytical workloads or scale down your warehouse for archival scenarios; pay based on what you’re using instead of being locked into predefined cluster configurations; and get more cost-efficiency compared to traditional data warehouse solutions.
Simpson Associates are an experienced Azure SQL Data Warehouse consultancy, based in UK.. As a Microsoft Gold Partner for Data Platform and Analytics and a Cloud Platform partner, we have the necessary skills and experience to help.
“After comparing the cost of a cloud solution against procuring new on-premise infrastructure it clearly became apparent that a Microsoft Cloud solution would be most cost effective route for the University, and of course, we then have the flexibility to scale the services up and down dependant on the demands of the institution”Michael Dunmore - Acting Deputy IT Director The University of Leicester
Why Azure SQL Data Warehouse
Reduced time to market
- Reduced total cost of ownership
- Rapid ROI
- Unlock data from line of business applications
- Package is flexible based on your requirements
G-Cloud 9 framework
Simpson Associates are pleased to announce we now offer Azure Data Warehouse on the new G-Cloud 9 framework.
The service delivered through G-Cloud provides a managed, governed, secure environment for all planning, analysis and reporting processes. Procurement through G-Cloud is simple and fast, eliminating the need for full tender and competitive procurement processes.
See our G-Cloud listing for Azure Data Warehouse here or contact us to arrange a demonstration
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“Azure allowed us to go live with the project immediately. It allowed us to test it and find out and mitigate some of the concerns that we had regarding the bandwidth coming into the building, how it could really work for us. And if it didn’t work we could always go back to on-premise and purchase it at that point but we didn’t have that upfront cost.”Mark Taylor, IT Director, Great Rail Journeys