Create a Data Loading Strategy


Loading large amounts of data into SQL Server can be challenging. Many factors may challenge your goal for tuned performance. To make the decision making process more difficult, many of the choices listed below have both Pros and Cons to their implementation. For this reason, loading large amounts of data requires a strategy. Create a strategy to optimize your massive data loading processes: 1) High Performance Data Loading (SCD Type II and Type I using checksums) 2) Minimal Logging and Bulk Loading 3) Indexing Considerations 4) Delayed Durability 5) Eager Write. This session uses a Virtual Sandbox to demonstrate “real” data loads using these techniques listed above. We will look at the T-SQL used in these data loads. We will briefly discuss how the different settings and configurations effect the data loads. Power Point slides and sample SQL will be provided.


  • Ryan Casey

    2 Recordings

    Managing BI Architect, Microsoft Data Platform MVP, Friend of Redgate, LinkedIn Group Moderator, and a SQL Saturday Speaker. 15+ Fortune 500 Corporations Implementing Data Centers and Warehouses, 14+ years SQL Server and Oracle (T-SQL, PL-SQL), (Excel, Flat Files, XML), 12+ years Visual Studio (SSDT Business Intelligence, DevOps, MVC, C#, VB), 11+ years Excel, SSAS, SSIS, and SSRS using Agile Methodology & 6+ years Leading Large BI Teams (multi-country off-shore locations) AIM Report Writing combines the collaborative and creative arts included in Technical Communication, the business acumen of a Harvard MBA program, and the technical discipline of object oriented programming and business intelligence (data warehouses). Ryan P. Casey, MBA

Recorded At:

Recorded on:

Mar 4, 2017

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