Useful information and case studies covering Data Warehousing, Data Modeling, and Business Intelligence
Archives: July 2012
Parallel Data Warehouse (PDW) Tip: Usage of SYSDATETIME() vs GETDATE()
Usage of GETDATE() dates back to the earliest versions of SQL server and has become the primary blade in our SQL swiss army knife when we want to generate the current system date and time. Currently, there is something missing in the current release of Microsoft’s Parallel Data Warehouse (PDW)… Read more
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Posted in Useful information and case studies covering Data Warehousing, Data Modeling, and Business Intelligence on 21 July 2012
Parallel Data Warehouse (PDW) Basics: CREATE TABLE and CTAS Syntax
After forgetting the syntax for temp tables a couple of times, I decided to write a brief overview of the table creation syntax for Microsoft’s Parallel Data Warehouse (PDW) architecture.
One thing worth noting up-front, this post does not include considerations that should be made in determinining whether a table… Read more
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Posted in Useful information and case studies covering Data Warehousing, Data Modeling, and Business Intelligence on 12 July 2012
Dynamic Multi-Threaded SSIS using C#
Here is a snippet of code that will assist in the dynamic ‘spin-up’ of duplicate SSIS packages. To put it simply, I used this approach in a C# service that monitored a nightly FTP file drop folder and inserted records into a queue table (one record per file) for SSIS… Read more
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Posted in Useful information and case studies covering Data Warehousing, Data Modeling, and Business Intelligence on 9 July 2012
Parallel Data Warehouse (PDW) Lesson 1: – Basic Architecture Overview
I’ll begin my coverage of Microsoft’s Parallel Data Warehouse (PDW) architecture / appliance with a brief overview of the Massively Parallel Processing (MPP) architecture and the specific hardware components of the PDW appliance.
For starters, think of PDW as a single, pre-configured server and network environment, comprised… Read more
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Posted in Useful information and case studies covering Data Warehousing, Data Modeling, and Business Intelligence on 9 July 2012



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