Selecting a Data Warehousing Technology in the Azure Cloud

January 31st at 11am EST

There are numerous choices in the Azure platform to implement a data warehouse for supporting analytics, big data, and business intelligence workloads. In BlueGranite's upcoming webinar, we will present decision points for when Azure SQL Data Warehouse is the best choice, versus when another Azure service may be a more suitable solution. In addition to bringing clarity to the choices available in Azure, we will dispel myths and misconceptions such as "Azure SQL Data Warehouse is for all DW workloads" and "Azure SQL Database is only for OLTP workloads."

At the end of the session, you will leave with a list of the most common Azure services for data warehousing and practical suggestions to inform your decision-making process.

At BlueGranite we help our clients utilize data as a strategic asset, delivering data architecture and data integration solutions to drive insights and analytics across your organization. Our solutions monitor trends, measure performance, and provide real-time analytics for rapid, informed decision making. We leverage industry leading technology from Microsoft to build modern data platforms that reduce operating costs, increase market share, improve workforce efficiency, and so much more.

 Webinar GOALS

  • Introduce relational and non-relational choices in Azure for data warehousing workloads.
  • Review decision factors for evaluating which Azure service is the best fit for a data warehouse.
  • Clarify when to utilize a distributed system such as Azure SQL DW versus other relational and non-relational choices.

 Webinar Details

  • Wednesday, January 31st, 2018
    11:00am EST
  • Hosted using GoToWebinar - after registering you will receive a confirmation email with viewing instructions



Melissa Coates, Solution Architect
As a Solution Architect, Melissa's main focus is on client project delivery of data management and analytics solutions. She is a Data Platform MVP and volunteers with the Charlotte BI Group in North Carolina. To learn more about BI, data warehousing, and data lake development, please also visit Melissa’s personal blog at