Spyglass MTG, LLC. Has Earned the Data Warehouse Migration to Microsoft Azure Advanced Specialization

Data Warehouse Migration

Spyglass MTG, LLC. today announced it has earned the Data Warehouse Migration to Microsoft Azure advanced specialization, a validation of a solution partner's deep knowledge, extensive experience and proven expertise in analyzing existing workloads, generating schema models and performing extract, transform, and load (ETL) operations to migrate data and enable cloud-based analytics in Azure.

The Data Warehouse Migration to Microsoft Azure advanced specialization can only be earned by partners that meet stringent criteria around customer success and staff skilling, as well as pass a third-party audit of their data warehouse migration practices, including their ability to migrate data from Netezza and Teradata appliances.

As companies adopt digital transformation and increase their data usage and demand, they require more scalable and agile analytics solutions than on-premises legacy systems can offer. These companies are looking for a partner with advanced skills to migrate their existing data warehouses to the cloud and enable cloud-based analytics.

"Spyglass is pleased to achieve the Data Warehouse Migration to Azure advanced specialization from Microsoft. It's a true testament to the deep expertise and knowledge of our team, and we look forward to continuing to help existing and new clients on their digital and cloud data transformation journey," says Dori Albert, President at Spyglass MTG. 

Andrew Smith, General Manager, Partner Program Management at Microsoft, added, "The Data Warehouse Migration to Microsoft Azure advanced specialization highlights the partners who can be viewed as most capable when it comes to migrating data warehouses and implementing cloud-based analytics in Azure. Spyglass MTG clearly demonstrated that they have both the skills and the experience to deliver best-in-class cloud-based analytics capabilities to customers with Azure."

Source: Spyglass MTG

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Tags: data warehouse migration, microsoft, microsoft azure