Skip to content

shannonlowder.com

Menu
  • About
  • Biml Interrogator Demo
  • Latest Posts
Menu

Tag: T-SQL

String Manipulation — CAST and CONVERT

Posted on April 2, 2005February 9, 2011 by slowder

So far I’ve shown you just a few of the many string manipulation functions available in Microsoft SQL.  Today we’re adding two more of these tools to your tool belt.  CAST and CONVERT.  These two become useful when you’ve stored a value as one data type, and later find you need it used as another. …

Continue reading

String Manipulation — REPLACE, PATINDEX and Regular Expressions

Posted on March 10, 2005June 27, 2013 by slowder

In the previous SQL posts, I showed you SUBSTRING, then I showed you REPLACE. Now, with REPLACE, you had to know what characters you wanted to replace.  What if you only knew what characters you wanted to keep?  Well, let me introduce you to PATINDEX.  This is an advanced command that is easy to learn,…

Continue reading

String Manipulation — REPLACE

Posted on February 2, 2005March 14, 2016 by slowder

In the last SQL post, I showed you SUBSTRING, and how you could use it to locate the area code in an un-formatted phone number.  The problem was the field we were working from was full of malformed numbers.  Today, we’ll start on cleaning up the numbers. But first, I need to include my standard…

Continue reading

String Manipulation — SUBSTRING

Posted on August 1, 2004February 19, 2018 by slowder

Sooner or later in SQL, you’re going to be asked to change how some text is formatted.  Making changes to text is pretty straightforward.  First, you need to know that when you’re manipulating text (in SQL it’s stored as a VARCHAR or NVARCHAR), you’re manipulating a string.  If you think of the string to the…

Continue reading
  • Previous
  • 1
  • …
  • 4
  • 5
  • 6
  • 7

Recent Posts

  • A New File Interrogator
  • Using Generative AI in Data Engineering
  • Getting started with Microsoft Fabric
  • Docker-based Spark
  • Network Infrastructure Updates

Recent Comments

  1. slowder on Data Engineering for Databricks
  2. Alex Ott on Data Engineering for Databricks

Archives

  • July 2023
  • June 2023
  • March 2023
  • February 2023
  • January 2023
  • December 2022
  • November 2022
  • October 2022
  • October 2018
  • August 2018
  • May 2018
  • February 2018
  • January 2018
  • November 2017
  • October 2017
  • September 2017
  • August 2017
  • June 2017
  • March 2017
  • February 2014
  • January 2014
  • December 2013
  • November 2013
  • October 2013
  • August 2013
  • July 2013
  • June 2013
  • February 2013
  • January 2013
  • August 2012
  • June 2012
  • May 2012
  • April 2012
  • March 2012
  • February 2012
  • January 2012
  • December 2011
  • November 2011
  • October 2011
  • September 2011
  • August 2011
  • July 2011
  • June 2011
  • May 2011
  • April 2011
  • March 2011
  • February 2011
  • January 2011
  • December 2010
  • November 2010
  • October 2010
  • September 2010
  • August 2010
  • July 2010
  • June 2010
  • May 2010
  • April 2010
  • March 2010
  • January 2010
  • December 2009
  • November 2009
  • October 2009
  • September 2009
  • August 2009
  • July 2009
  • June 2009
  • May 2009
  • April 2009
  • March 2009
  • February 2009
  • January 2009
  • December 2008
  • November 2008
  • October 2008
  • September 2008
  • August 2008
  • July 2008
  • June 2008
  • May 2008
  • April 2008
  • March 2008
  • February 2008
  • January 2008
  • November 2007
  • October 2007
  • September 2007
  • August 2007
  • July 2007
  • June 2007
  • May 2007
  • April 2007
  • March 2007
  • February 2007
  • January 2007
  • December 2006
  • November 2006
  • October 2006
  • September 2006
  • August 2006
  • July 2006
  • June 2006
  • May 2006
  • April 2006
  • March 2006
  • February 2006
  • January 2006
  • December 2005
  • November 2005
  • October 2005
  • September 2005
  • August 2005
  • July 2005
  • June 2005
  • May 2005
  • April 2005
  • March 2005
  • February 2005
  • January 2005
  • November 2004
  • September 2004
  • August 2004
  • July 2004
  • April 2004
  • March 2004
  • June 2002

Categories

  • Career Development
  • Data Engineering
  • Data Science
  • Infrastructure
  • Microsoft SQL
  • Modern Data Estate
  • Personal
  • Random Technology
  • uncategorized
© 2025 shannonlowder.com | Powered by Minimalist Blog WordPress Theme