This week on the SQL Trail, Steve and I chat with Jason Horner about building a good data architecture. When talking about a data warehouse architecture, or even just a data architecture, people often think about building the data warehouse and specifying the server hardware, building the ETL, things like that--they tend to lose sight of the larger picture of data architecture. Jason gives us his “four pillars of data warehouse architecture” and how each of them impacts what you are able to do from a reporting prospective.
We are super excited to have Jason on the show with us this week. You can catch the show notes at http://sqldatapartners.com/2016/10/03/data-architecture/ and we'll see you on the SQL trail.
Episode 41: Index Maintenance
Episode 40: SQL Server Compression
Episode 39: Set statistics and StatisticsParser.com
Episode 38: SQL Server 2016 Feature Review
Episode 37: PowerBI and the DBA
Episode 36: SQL Server Virtual Machines in Azure
Episode 35: Position Yourself to Better Opportunities
Episode 34: In-Memory Tables
Episode 33: From Developer To DBA
Episode 32: Up Your Game With PowerShell!
Episode 31: What Has Virtualization Done To My Database?
Episode 30: The Best Investment You Can Make
Episode 29: You Thinking What I Am Thinking?
Episode 28: How Do You Know There Is A Problem? Baselines!
Episode 27: Testing Changes Before You Break Production
Episode 26: DevOps for the Database--Everyone is Doing it, Right?
Episode 25: Stretch Database
Episode 24 Query Store
Episode 23: IO, IO, It’s Off to Tune We Go
Episode 22: Eight Years of sp_whoisactive
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