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 195: Understanding DAX
Episode 194: PolyBase Use Cases
Episode 193: Power BI Premium
Episode 192: The DBA is Dead! Long Live the DBA!
Episode 191: Power BI Row-Level Security
Episode 190: SQL Server 2019
Episode 189: Power BI Common Data Model
Episode 188: Databricks
Episode 187: Power BI Performance Tuning
Episode 186: Analytics & Security: Find Pain Points, Make a Plan
Episode 185: DBATools in a Month of Lunches
Episode 184: Where do people get stuck with Power BI?
Episode 183: SQL Server Big Data Clusters
Episode 182: XEvents
Episode 181: Paginated Reports in Power BI
Episode 180: PolyBase in SQL Server 2019
Episode 179: SQL Trail Recap & Buying Power BI
Episode 178: Database Design
Episode 177: Lock Pages in Memory
Episode 176: Power BI Storage Options
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