Use Regular Expressions to gain insight on Content Grouping

Today’s post is a special one and a first-timer here on Digital Owl’s Prose. I am featuring a guest post by Edoardo Frasca.

Let’s meet Edoardo in his own words…

“Hey, I’m Edoardo!
I’m an Italian digital marketing enthusiast living in London.
My professional focus is on marketing, web analytics and data analysis.

After graduating at the School of Management and Economics in Turin (IT), I had to face what a lot of other graduates face: INEXPERIENCE when transitioning from university to work 🙂
That’s why I decided to share a few tips and tricks around highly requested tools like, in this case, Google Analytics.

  • What is working well or not working at all on your website?
  • Which category of products is gaining traction?
  • Are the blog posts just published gaining interest?

I hope you’ll be able to answer some of those questions after reading this blog post, unlock the power of content grouping in Google Analytics!”

Now without any further delay, let’s enjoy Edoardo’s post, Advanced Content Grouping with Regular Expressions .

Thank you, Edoardo for guest-posting on my blog!

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Regular expressions in PostgreSQL with regexp_match() – With examples.

Regular expressions are somewhat new to me in the sense of, I know what they are, it’s just I have never had to use them. I’ve always gotten by using the LIKE search pattern. However, I wanted to replicate a particular UPDATE in PostgreSQL that I carried-out in MS Access (not with regex’s there either) and discovered a need for basic regex search and match in order to accomplish it. Let’s visit and learn about the regexp_match() function and how I used it…

[Head this way for great PostgresSQL blogging >>>]