5 oktober 2022 Qlik Set Analysis – Outer Set Expressions 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 Set Analysis, which was really about the new Outer Sets syntax: This was somewhat of a trick question, as we included two right answers: The correct answers are B (Outer Sets) and C (regular approach) Answer C was the most correct answer up until recently, and probably still is the correct answer on the Qlik certification test until they are updated. Now however, there is a new Set Analysis syntax: Outer Sets. This makes answer B the new best answer. The attendees at the Masters Summit for Qlik in Madrid already got a sneak peek at Outer Sets a few weeks ago. The general announcement to the world was done by Qlik’s Henric Cronström in his New Set Analysis syntax blog post. We’re very excited about this new syntax, as it’ll make all our lives a lot easier! Learn more about Outer Sets Typically in our question follow-up blog posts, we’ll go into a little (or a lot) more detail on the particular concept, function, feature or subject that being covered in the question. This time though, we’ll point you to two posts that already explained it very well: New Set Analysis syntax by Henric Cronström Outer Sets bring new reusability by Rob Wunderlich 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. Masters Summit for Qlik The Masters Summit for Qlik provides the next step in your path to becoming a Qlik specialist. As an extra perk, Bitmetric has secured an over $450 discount just for you! Use code BITMETRIC at checkout. Read more here. 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 12 september 2025 Hoe de EU Data Act jouw recht op SaaS-data verandert (en wat je ermee kunt) Vanaf 12 september 2025, is de EU Data Act van kracht. Deze Europese verordening regelt hoe data toegankelijk moet zijn, gedeeld kan worden en hoe overstappen tussen clouddiensten makkelijker wordt. 11 september 2025 Qlik vs Power BI: Part 3 – Front End Development & User Experience Part 3 of our Qlik vs Power BI series explores Qlik’s grid responsive layout and associative model versus Power BI’s precision layout and query-based interactions, highlighting their impact on dashboard design and user experience. Power BI Qlik 4 september 2025 Qlik vs. Power BI: Part 2 – Back-End & Data Modeling This post is Part 2 of our series on Qlik vs Power BI data preparation and modeling. We compare Qlik’s structured, script-driven approach with QVDs to Power Query’s flexible, user-friendly interface, and explain what each means for building reliable data models. Power BI Qlik
12 september 2025 Hoe de EU Data Act jouw recht op SaaS-data verandert (en wat je ermee kunt) Vanaf 12 september 2025, is de EU Data Act van kracht. Deze Europese verordening regelt hoe data toegankelijk moet zijn, gedeeld kan worden en hoe overstappen tussen clouddiensten makkelijker wordt.
11 september 2025 Qlik vs Power BI: Part 3 – Front End Development & User Experience Part 3 of our Qlik vs Power BI series explores Qlik’s grid responsive layout and associative model versus Power BI’s precision layout and query-based interactions, highlighting their impact on dashboard design and user experience. Power BI Qlik
4 september 2025 Qlik vs. Power BI: Part 2 – Back-End & Data Modeling This post is Part 2 of our series on Qlik vs Power BI data preparation and modeling. We compare Qlik’s structured, script-driven approach with QVDs to Power Query’s flexible, user-friendly interface, and explain what each means for building reliable data models. Power BI Qlik