Azure SQL Data Warehouse
Compañeros, it is time for another episode of the SQL Data Partners podcast. Episode 44 takes us into a new service in the Microsoft cloud–Azure SQL Data Warehouse. While still in preview, the Azure SQL Data Warehouse looks to help level the playing field for organizations that want to analyze their data without the expense of creating a data warehouse. Sound a bit counter intuitive? Check out this episode to find what the service is all about and what the future of data processing might look like.
This episode is sponsored by SQL Cruise
Listen to Learn
- What is the Azure SQL Data Warehouse service
- What types of organizations might want to consider this service
- Why you still need to look at the entire flow of data for ETL processes
- How a laundry mat company used analytics to increase business by 30%
Matt Usher is the program manager for the Azure SQL Data Warehouse for Microsoft, where he has been for the last 8 years.
Meet the Hosts
With more than 10 years of working with SQL Server, Carlos helps businesses ensure their SQL Server environments meet their users’ expectations. He can provide insights on performance, migrations, and disaster recovery. He is also active in the SQL Server community and regularly speaks at user group meetings and conferences. He helps support the free database monitoring tool found at databasehealth.com and provides training through SQL Trail events.
Eugene works as an independent BI consultant and Pluralsight author, specializing in Power BI and the Azure Data Platform. He has been working with data for over 8 years and speaks regularly at user groups and conferences. He also helps run the GroupBy online conference.
Kevin is a Microsoft Data Platform MVP and proprietor of Catallaxy Services, LLC, where he specializes in T-SQL development, machine learning, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL, president of the Triangle Area SQL Server Users Group, and author of the books PolyBase Revealed (Apress, 2020) and Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python (Apress, 2022). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.