6 april 2022 Literal values vs search strings in Qlik Set Analysis Deel dit bericht Every Friday at Bitmetric we’re posting a new Qlik certification practice question to our LinkedIn company page. Last Friday we asked the following Qlik Data Architect certification practice question about search strings in Set Analysis: This is typically a relatively tough question, but fortunately everyone who participated is above average! The correct answer is D You may wonder why this is a tough question, that’s because in the past both single and double quotes would be evaluated as a search expression by Qlik. This has lead to single and double quotes being used interchangeably, while formally only the double quotes are correct. The single quotes (‘) are used to denote a literal value. So by using single quotations in Set Analysis, you are looking for an exact match with that value. In this case the answer B solution will be looking for literally Internal* as field value. By using double quotes (“) Qlik will interpret this as a search value. In this example, the correct answer D, will be conducting a search for Internal*. The asterisk is a wildcard that can match any (sequence of) character(s). In this case Internal-Call, Internal-Chat and Internal-Email would be matched. What about flag fields? Yes, if this particular condition is one you want to test more often then it can be beneficial to create flag fields in your data model. This will make your Set Analysis easier and in cases more performant as well. In the context of this question though, we only wanted to test if you knew the difference between single and double quotes in Set Analysis. We’ve already established that you’re all above average 😉 That’s it for this week. See you next Friday? More from the Bitmetric team Qlik Cloud Backup Protect your investment in Qlik with daily incremental backups stored in an encrypted environment with redundant storage. Available for as little as 2 Euro per day. Learn more. Join the team! Do you want to work within a highly-skilled, informal team where craftsmanship, ingenuity, knowledge sharing and personal development are valued and encouraged? Check out our job openings. Expressions Friday Qlik Test Prep Set Analysis Solution Hoe kunnen we je ondersteunen? Barry beschikt over meer dan 20 jaar ervaring als architect, developer, trainer en auteur op het gebied van Data & Analytics. Hij is bereid om je te helpen met al je vragen. Bel ons Mail ons 25 april 2025 Game-Changer in Qlik: Set Analysis Now Works WITHOUT Using It’s Syntax! Discover Qlik Cloud’s latest feature that lets you apply object level filters without writing any set analysis syntax. A simpler and faster way to build dashboards, especially for non-technical users. Read more in this blog post. New Release Qlik 23 april 2025 When Everyone Has Different Numbers: Why Data Alignment Matters Different teams, different data, different results. This post explores how misaligned data leads to confusion, and how TimeXtender helps bring everyone back to the same page. TimeXtender 16 april 2025 The Cost of Bad Data: What Is It Really Doing to Your Business? Inaccurate or outdated data doesn’t just cause small hiccups. This can severely impact your bottom line. It slows down your teams, leads to expensive errors, and creates serious compliance risks. The good news is that these challenges are avoidable. TimeXtender
25 april 2025 Game-Changer in Qlik: Set Analysis Now Works WITHOUT Using It’s Syntax! Discover Qlik Cloud’s latest feature that lets you apply object level filters without writing any set analysis syntax. A simpler and faster way to build dashboards, especially for non-technical users. Read more in this blog post. New Release Qlik
23 april 2025 When Everyone Has Different Numbers: Why Data Alignment Matters Different teams, different data, different results. This post explores how misaligned data leads to confusion, and how TimeXtender helps bring everyone back to the same page. TimeXtender
16 april 2025 The Cost of Bad Data: What Is It Really Doing to Your Business? Inaccurate or outdated data doesn’t just cause small hiccups. This can severely impact your bottom line. It slows down your teams, leads to expensive errors, and creates serious compliance risks. The good news is that these challenges are avoidable. TimeXtender