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Cost Effective Data Warehousing with Microsoft Azure

Type: Webcast

Topic: Azure SQL Data Warehouse, Cloud, Massively Parallel Processing, Microsoft Azure

Date(s) / Location(s):
9 Feb 2017, At your desk

Start Time: 00:00 EST  End Time: 00:00 EST

Thorogood consultants David Bucholtz and Mick Horne examine how the cloud has changed the economics of data warehousing at scale, and see how your organization could take advantage of Microsoft’s offerings. In this recorded webcast, we discuss the value of using Azure SQL Data Warehouse and demonstrate how it can fit in with your existing reporting and analytics tools. The cloud data warehouse is a pay-as-you-go service which makes it easy to get started and we will discuss how to take the first step in this webcast.

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Watch Cost Effective Data Warehousing with Microsoft Azure webcast

What we will cover

Companies are performing more complex analyses and calculations on massive data volumes. In the past, organizing and gaining valuable insights from this data was expensive and required large capital expenditure and significant effort from IT. In this webcast, we demonstrate how Microsoft’s Azure SQL Data Warehouse has changed the economics of large-scale data warehousing. Whether you’re considering migrating on-premises data warehouses to the cloud or looking for a new, economical way to organize your data to create business value, Azure SQL Data Warehouse is a key consideration for any modern analytics architecture.

In this webcast, we answer the following questions:

  • Why are CIOs and business leaders turning to cloud data warehouse solutions?
  • How is Azure SQL Data Warehouse being used by industry leaders, and what are the benefits?
  • How can Azure SQL Data Warehouse save your organization time and money?
  • What existing reporting & analytics tools can you use with Azure SQL Data Warehouse?
  • How is a data warehouse in the cloud different from a traditional data warehouse?


Is it for you?

  • Do you want to find solutions to storing vast amounts of structured data in a cost-effective manner? 
  • Are you seeking an alternative to expensive on-premises databases that require large capital expenditure to acquire and set up?
  • Are you trying to analyze large volumes of internal or third party data?
  • Are you looking to take advantage of a proven technology that previously required a massive upfront investment?