Selecting a Data Warehousing Technology in the Azure Cloud

Webinar presented by Melissa Coates & Leo Furlong

Recorded January 2018

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 recent webinar, we presented 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 dispelled 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, attendees left with a list of the most common Azure services for data warehousing and practical suggestions to inform the decision-making process.

Check out the recording below!

 

Download the presentation content here.

 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.

PRESENTER

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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 

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