"The move to the cloud is inevitable." Listening to Microsoft marketing and all the MVPs out there, it can certainly seem like we are getting further and further behind each day we aren't use cloud services. Sure, lift and shift of VM resources are straightforward at this point and they are happening with more frequency; however, this doesn't mean everyone is leveraging cloud services. How do you go about trying to prepare for the future when the company you work for isn't quite ready to make the leap? In this episode, we talk with Jim Donahoe about making the transition from our traditional SQL Server environments to using Azure SQL Database. We discuss some of the basics and some of the challenges you will face as you make the migration.
It can be a bit overwhelming to think about all the other services available in Azure. Lift and shift gets us to the 'cloud', but if we want to start doing the cool stuff, we will have to make our data available to start interfacing with these services. We know that cloud providers are pushing more hybrid models as not every system is ready for the cloud. New development initiatives make better candidates for the cloud services and this episode covers the first steps to help you on path to cloud services.
The show notes for today's episode can be found at http://sqldatapartners.com/2018/06/13/episode-139-getting-started-with-sql-server-in-azure. Have fun on the SQL Trail!
Episode 156: Social Intelligence
Episode 155: Data Science
Episode 154: Test Driven Development
Episode 153: SQL Trail 2018 Retrospective
Episode 152: Do you use Analysis Services?
Episode 151: Azure SQL Database Managed Instance
Episode 150: The SQL Data Partners Team
Episode 149: Managing lots of databases
Episode 148: High Performance SSRS
Episode 147: Always Encrypted
Episode 146: SQL Trail Speakers
Episode 145: Is SSIS still relevant? Part 2
Episode 144: Is SSIS still relevant? Part 1
Episode 143: Transitioning from DBA to Data Warehouse Architect
Episode 142: Do You Have a HEAP of Hurting?
Episode 141: Wait, Wait, What?
Episode 140: Why data types matter
Episode 138: Meeting of the Minds
Episode 137: You want to work with Analytics?
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