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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

62,362 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

9,158 reads

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Measuring Productivity

By Steve Jones - SSC Editor

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Importing Excel files into SQL Server using DuckDB and Python

By Cláudio Tereso

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Tracking All the Queries

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Tracking All the Queries

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Question of the Day

Tracking All the Queries

I have 3 instances of a brand new long running query that are executing on a SQL Server 2025 instance. Query store is enabled. One of the queries is killed by the administrator, one is cancelled by the user. The other runs to completion. How many rows are in Query Store for this query?

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