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External Article

SQL Server Best Practices for Data Quality

Accurate data is imperative for an organization to conduct cost effective decision making. Like everything else, change is constant for your data. There is a need to cleanse and validate data when received and on a regular basis. Unfortunately, cleansing and validating data is difficult with the native SQL Server toolset. How do we leverage the SQL Server tool set to achieve these goals?

2020-01-03

SQLServerCentral Article

Exporting Data with PowerShell

Recently I had the need to help someone download some data from SQL Server as a part of an automated process. In this case, the person wanted to use PowerShell (PoSh), since they were performing a few other actions with PoSh as well. This article is a short tutorial on exporting data from SQL Server […]

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2020-01-02

59,289 reads

SQLServerCentral Article

Browsing SSAS Instance over the internet

Problem Developing OLAP cubes have always been fascinating to me. Right after completing the development of a data warehouse, my next line of action often becomes setting up Analysis Services for the warehouse. Although, there are multiple client tools readily available in the market to perform some analysis on this SSAS Server, sometimes it is […]

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2019-12-31

8,842 reads

Blogs

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Question of the Day

SQL Server, Heaps and Fragmentation

A table without a clustered index (heap) will NOT suffer from fragmentation during frequent updates or deletes. True or False?

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