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Get started on Qlik Community, find How-To documents, and join general non-product related discussions.
Direct links to other resources within the Qlik ecosystem. We suggest you bookmark this page.
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A security issue has been identified in Qlik NPrinting, and patches have been made available. Details can be found in the Security Bulletin High Security fix for Qlik NPrinting (CVE-pending).
We've released two releases across the latest versions of Qlik NPrinting to patch the reported issues. All versions of Qlik NPrinting prior to and including these releases are impacted:
No workarounds can be provided. Customers should upgrade Qlik NPrinting to a version containing fixes for these issues.
Before applying patches or upgrading Qlik NPrinting, always review the system requirements for the new version.
This issue only impacts Qlik NPrinting. Other Qlik products are NOT impacted.
All Qlik software can be downloaded from our official Qlik Download page (customer login required). Follow best practices when upgrading Qlik Sense.
Qlik provides patches for major releases until the next Initial or Service Release is generally available. See Release Management Policy for Qlik Software. Notwithstanding, additional patches for earlier releases may be made available at Qlik’s discretion.
The information in this post and Security Bulletin High Security fix for Qlik NPrinting (CVE-pending) is disclosed in accordance with our published Security and Vulnerability Policy.
Thank you for choosing Qlik,
Qlik Support
One question I get asked a lot is "We're evaluating Qlik alongside a standalone data governance catalog. How do you compare?"
It's a reasonable question. But the framing inside it, that you're choosing between Qlik and a standalone governance catalog, misses something important about what governance requires. So let me try to untangle it.
The question behind the question
Data intelligence platforms are built to balance two distinct problems, and most organizations have both. The first is context capture: building a unified metadata view to understand and optimize your data integration landscape. That means technical context, operational context, and governance context, all in one place. The second is context delivery: getting trusted context, with clear ownership and accountability, to the analytics, APIs, and AI agents that need it to produce real business outcomes.
Both problems matter. They're related. However, they aren't the same problem, and they don't call for the same solution.
Two Catalogs, One Trusted Foundation
Context capture is where most metadata catalogs live, and the focus is heavily technical: inventorying schemas, tables, and columns across the estate; harvesting metadata from cross-platform sources; tracing column-level lineage from origin to destination; and powering search and discovery so data engineers and platform teams can find the right asset and understand its dependencies. Beyond those core technical jobs, the same catalogs also support regulatory and audit needs with cross-domain lineage, enterprise-wide policy enforcement, and classification. Qlik's Talend Data Catalog is one example of such a catalog solution.
Context delivery requires a knowledge catalog that makes trusted data easy to discover, understand, and consume. In Qlik Talend Cloud, this includes a data product marketplace where users can find and request trusted data products, domain-driven ownership that enables teams to publish and manage data with clear accountability, rich business and technical context that helps both people and AI agents understand data, and usage intelligence that provides visibility into adoption and value. Together, these capabilities transform governed data into a consumable asset for analytics, AI, and business operations.
The two aren't redundant. They serve different roles in the same data organization. Having both is what moves you from "we have a governance program" to "our governance actually produces something useful."
But here's where I think the market conversation often stops too early.
Where Governance Has to Run
A standalone governance catalog typically answers a question about inventory : what data do we have, where did it come from, and what rules apply to it? It documents. It organizes. It certifies. What it can't answer is the question that matters most data practitioners - which is whether the data is trustworthy or not for a business use-case?
That's where Qlik's approach is different. The knowledge catalog capabilities in Qlik Talend Cloud don't just surface what data products are available. They carry live trust signals with them. The Qlik Trust Score on a data product reflects what happened in the pipeline: accuracy, completeness, and timeliness, computed at runtime. Anomalies get flagged before bad data reaches a consumer. Trustworthiness isn't a label someone applied. It's a measurement the product makes continuously.
The full sequence looks like this. Discover and understand your data through active metadata, lineage, and semantic search. Trust and validate it with Qlik Trust Score for AI, which measures accuracy, completeness, consistency, and timeliness as a live computed signal. Govern and secure it through PII detection and classification, role-based access, and policies enforced at runtime. Steward and operationalize it through quality improvement cycles and continuous remediation. Then activate and deliver it: data products integrated with analytics and AI tools, with usage tracking so you can measure impact.
Context capture builds the foundation. Context delivery makes it useful. A standalone catalog only handles part of that sequence.
The Practical Takeaway
When someone asks whether to use Qlik's knowlege catalog capabilities alongside a standalone governance catalog, my honest answer is: it depends on whether you are solving for context capture or context delivery or both.
If you're a data engineer or architect and solving for context capture — inventorying the estate, tracing lineage across your entire organizational estate, classifying assets, supporting audit and compliance — a metadata catalog can handle that work. If you're a business data steward or business user solving for context delivery — publishing trusted data products, enforcing contracts and SLAs, routing governed inputs to analytics and AI agents — you need a solution like Qlik Talend Cloud.
And if the real question is whether governance holds when data actually moves — whether SLAs are met, whether the Trust Score reflects what just ran in the pipeline — that's delivery work. No standalone catalog can answer it, and that has to come from the underlying integration and quality substrate that Qlik Talend Cloud provides.
In summary, context capture gives you the picture of your data. Context delivery puts that picture to work so that analytics, APIs, and AI agents that depend on it. Governance should not exist as a separate layer above the data stack. It must be natively integrated into every stage of the data lifecycle. Only then can organizations move beyond governance processes to deliver governance outcomes.
Qlik recently announced its partnership with Starburst, combining Qlik data integration, replication, and analytics with Starburst federated query, context, and agentic capabilities to give you more choice across hybrid data estates.
For the full press release, see Qlik and Starburst Turn Fragmented Enterprise Data Into Governed, AI-Ready Intelligence.
We've also prepared a set of five articles for you to help get you started:
Thank you for choosing Qlik,
Qlik Support
Edited 2nd of June, 2026: Updated Qlik Cloud date from August 18th.
Edited 3rd of June, 2026: Added ?features=CLIENT_TLV_1804_LESS_CARDS,TLV_1804_NEW_DEFAULT_THEME URL for reviewing themes, which replaces the previous URL; clarified top level selector warning.
Qlik Cloud will now see the changes on or after August 18th, 2026.
Qlik is introducing changes to how custom themes in Qlik Analytics applications are handled, which may impact your CSS-styled themes if they include unsupported CSS modifications. This also applies to other means of modifying the CSS, such as the sheet input box, the Multi KPI CSS input, or any other 3rd party extension that allows CSS input.
These changes will impact both Qlik Cloud Analytics and Qlik Sense Enterprise on Windows.
For more information about custom themes, see Uploading and managing themes.
These changes improve how theming works in Qlik Analytics applications, which will enable us to deliver better-looking dashboards and generally enhanced theming.
We’re restructuring theme settings:
And we are adding new themes:
We’ve compiled a list of supported styling options for you that can already replace the need for custom CSS. See Obsolete CSS modifications.
Additionally, see the table below for an overview of the new theme properties that you can use in your theme instead of CSS. You will first need to enable the /feature/CLIENT_TLV_1804_LESS_CARDS flag to see them in effect in the application.
| Theme Option | Path in theme JSON | Example |
| Sheet background |
sheet.backgroundColor |
|
| Sheet margin |
sheet.margin |
|
| Object paddings |
object.padding |
|
| Borders |
|
|
|
object.borderColor |
|
|
|
|
|
|
| Shadows |
object.shadow.boxShadow |
|
|
object.shadow.boxShadowColor |
|
To give you more context: Document Object Model (DOM) selectors in custom CSS are not a supported pattern. While they can be helpful for customizing the look and feel of applications, the DOM is subject to change at any time. To provide your feedback, raise tickets on the Qlik Ideation portal when you need custom CSS customization. This helps prioritize supported customization options to add to the platform.
Do not use top-level selectors such as qv-client or qv-card. These selectors are planned for removal in future versions. See CSS best practices for Sense themes for more information.
An example theme selector could be:
.qv-client.qv-card #grid .qv-object-wrapper .qv-object to change the border of all objects on sheets. When the change is made, the top level .qv-card class will be removed fromt the <body> tag, which breaks the selector.
It would need to change to: .qv-client #grid .qv-object-wrapper .qv-object to work after the update.
However it still uses the top level .qv-client, that, while not removed in this update, will be removed in the future, and is not present in certain qlik-embed scenarios. Meaning we are left with #grid .qv-object-wrapper .qv-object.
In summary, if you absolutely still need to use custom css, remove the top level selectors.
Qlik Cloud will see the changes on or after August 18th, 2026, while Qlik Sense Enterprise on Windows will be aligned in the November 2026 release.
While we do not expect your themes to be affected, we recommend testing them at the earliest. See the How can I verify if my themes are affected? section.
If you have any questions, we're happy to assist. Reply to this blog post or take your queries to our Support Chat.
Thank you for choosing Qlik,
Qlik Support

Take in 8 divisions, 42 departments, 84 services, and 214 staff in one view. Each top-level branch gets its own color and passes it down to its descendants, so the structure is easy to follow. Click a node to light up its path to the root, with the selection cross-filtering the whole sheet.

A hands-on walkthrough of all major features in action: click selections, chain mode, label formats, coloring, grouping options, tooltips, and more.

Qlik developers and BI consultants looking to visualize org charts, product taxonomies, file structures, and any nested-category data in their dashboards.

Built with the Circular Dendrogram extension for Qlik Sense, released in May 2026. Based on fictional hospital organization data.
At the University of Worcester, students recently participated in a two-day Qlik Business Analyst Qualification Bootcamp designed to help them build confidence with analytics concepts while preparing for the Qlik Business Analyst Qualification.
The bootcamp was led by Qlik Luminary Nick Seagrave, who generously volunteered his time and expertise to support the students throughout the event. The initiative was also supported by Peter Clews, Lecturer in Web Applications at the University of Worcester, and made possible through the collaboration of Richard Wilkinson, Head of Computing, whose support helped bring the idea from concept to reality.
Throughout the two-day session, students worked through key business analytics concepts, explored data visualization best practices, and gained hands-on experience building dashboards and analyzing data with Qlik.
The highlight came on the second day, when all students who attended the bootcamp successfully passed the Qlik Business Analyst Qualification and earned their qualification badges.
Beyond earning a qualification, the students gained practical analytics skills that can help strengthen their employability and demonstrate their capabilities to future employers. As organizations continue to invest in data-driven decision-making, experience with analytics tools and recognized industry qualifications can provide students with a valuable advantage as they enter the job market.
The bootcamp also highlighted the value of collaboration between academia and industry. By combining the expertise of university educators with support from Qlik professionals and community members, students were able to gain both academic and practical perspectives on modern analytics.
While the Worcester bootcamp focused on business analytics foundations and qualifications, a recent session in Poland took students into some of the more advanced areas of modern analytics and artificial intelligence.
Working with AGH University of Krakow, the Qlik Academic Program delivered an advanced hands-on workshop for master's students interested in predictive analytics and AI.
The session was led by Piter Harb, Senior Technical Trainer at Qlik, and organized in collaboration with Janusz Opiła and his colleagues at AGH University of Krakow. Janusz teaches a variety of courses in business informatics, advanced analytics, and AI, including master's-level modules, and is passionate about connecting students with practical technologies and real-world applications.
During the workshop, students explored advanced analytics concepts through practical exercises and demonstrations using Qlik's latest capabilities. Topics included predictive analytics, artificial intelligence, advanced data visualization techniques, and Model Context Protocol (MCP), providing students with exposure to technologies that are increasingly shaping the future of analytics.
Rather than focusing solely on theory, the session emphasized practical application, allowing students to see how AI-driven analytics can be used to generate insights, support decision-making, and solve complex business challenges.
The feedback from both students and educators was extremely positive, highlighting the value of providing direct access to industry professionals and cutting-edge analytics technologies as part of the learning experience. The university has already expressed interest in exploring additional collaboration opportunities, demonstrating the growing importance of advanced analytics and AI skills within higher education.
Although these two sessions focused on very different topics, they shared a common objective: helping students build skills that are relevant in today's increasingly data-driven world.
Whether supporting students preparing for an industry qualification or introducing master's students to advanced predictive analytics and AI concepts, the Qlik Academic Program remains committed to helping educators provide engaging, practical learning experiences that connect academic knowledge with real-world application.
A special thank you to Nick Seagrave, Richard Wilkinson, Peter Clews, Piter Harb, Janusz Opiła, and everyone involved in making these sessions possible.
We look forward to continuing to support educators and students across EMEA through workshops, guest lectures, qualifications, and hands-on learning opportunities throughout the year.
Interested in bringing Qlik into your classroom?
The Qlik Academic Program provides free access to Qlik Cloud Analytics, Qlik Talend Cloud, AI and Machines Learning Capabilities, learning resources, qualifications, workshops, and educator support for accredited universities worldwide.
Learn more and join the program today: qlik.com/academicprogram
An update is being deployed to Qlik Cloud tenants starting May 28th (today), offering improved governance of the Qlik Analytics mobile app. See Setting permissions for the Qlik Analytics mobile app.
A new version of the Qlik Analytics mobile app is now available for download (in app stores). In addition, Tenant Administrators can now manage user access using three scopes:
In addition to access controls, these scopes strengthen the Microsoft Intune integration through a new server-side control for MAM deployment, replacing the previously user-controlled MAM toggle.
The update takes effect once users update to the latest version of the mobile app. For most existing users, there will be no impact, as the default scope is set to Allowed, a control point not available in the previous release.
The following two things need to be taken into consideration:
Some users may experience authentication issues after updating to the new version of the mobile app if this configuration is not completed by the Tenant Administrator.
Reference the configuration specifications for more information:
Thank you for choosing Qlik,
Qlik Support
Don't miss our previous Q&A with Qlik! Pull up a chair and chat with our panel of experts to help you get the most out of your Qlik experience.
It was back in 2015 when I first published the original Qlik Sense Search Cheat Sheet. Since then, and thanks to lots of individual contributors here in the Community, the Search Cheat Sheet has suffered several transformations to make it more complete and truthful.
@afurtado wrote me an email a few weeks ago because he was interested in getting the document localized for the Brazilian folks out there. In addition to thank him for his contribution and sending him the file I decided that it was about the time to get the Search Cheat Sheet an update.
Today I want to introduce a new version of the document. I added the compound search section to it (@jayanttibhe thanks for the tip), and I redesigned and rationalized the position of each element for better comprehension.
As an extra, I made the document multilanguage ready. So, if someone wants to translate the Cheat Sheet to other language (currently available in English, Spanish and Portuguese) please let me know in the comments section and I'll gladly tell you how to help us.
Hope you like it, and please share it.
Arturo
Updates:
Feb 28: French version thanks to @arychener
Feb 25: Italian added thanks to @AntonioCostantino . Russian translation updated
Feb 13, 2020: Cheat sheet includes now the ^ Wildcard to be consistent with Qlik Help. Russian language added thanks to the contribution of @martynova
Jan 29, 2020: German language added thanks to the contribution of @g_mitschke
Snowflake is rolling out stronger authentication requirements as part of their platform security initiative. Starting May 2026, new connections using only username and password will no longer be accepted, and all existing password-only connections will stop working between August and October 2026.
For the full rollout schedule, see Snowflake's authentication enforcement timeline.
If your Qlik Sense Cloud Analytics, Qlik Sense Enterprise on Windows, or QlikView environment connects to Snowflake, you will need to update those connections to use either key-pair authentication or OAuth before this change takes effect.
This applies to any Qlik Cloud Analytics, Qlik Sense Enterprise on Windows, and QlikView connection to Snowflake, where the authentication method is set to Username and Password only. Connections that already use key-pair authentication or OAuth do not need to change.
To check your connections, review the Data connections and look for any Snowflake connections using username and password authentication.
There are two supported authentication methods you can migrate to.
Key-pair authentication uses an RSA private/public key pair assigned to the Snowflake user account. It is the most straightforward migration path and does not require an identity provider. This option is recommended for most customers.
For setup steps, see Snowflake key-pair authentication documentation and the Qlik Snowflake connector guide.
OAuth integrates with your existing identity provider (such as Okta or Azure AD) and is well-suited for organisations that want centralised access control and token-based authentication. It requires an OAuth security integration to be configured in Snowflake.
See the Qlik Snowflake connector guide and Snowflake OAuth documentation.
OAuth support for Snowflake was introduced to Qlik Sense Enterprise on Windows with our May 2026 release.
If you have any questions, we are, as always, happy to assist. Reply to this blog post or take your queries to our Support Chat.
Thank you for choosing Qlik,
Qlik Support
気候変動による災害の激甚化、人口減少による担い手不足、インフラ老朽化、サイバーリスクの高まりなど、行政を取り巻く環境はこれまでにないスピードで変化しています。こうした複合的な社会課題に対し、行政担当者には、限られた人員で迅速かつ的確な対応が求められています。
本 Web セミナーでは、サンフランシスコ交通局(SFMTA)、フランスのスマート水道(m2ocity / 現 Veolia)、フランス国家安全保障省の危機管理といった海外の事例を取り上げ、分断されたデータをつなぐことで、どのように業務効率化やサービスの質向上を実現したのかを解説します。日本の行政 DX に役立つヒントをお届けします。
※ パソコン・タブレット・スマートフォンで、どこからでもご視聴いただけます。
今すぐ視聴する
As a follow-up to my previous blog post titled Finance Report with Waterfall Chart, I wanted to share an awesome demo that showcases financial reporting visualizations including a profit & loss statement with a waterfall chart. Qlik's Dennis Jaskowiak and Ekaterina Kovalenko, and partner Dawid Marciniak from HighCoordination, created the Financial Analysis demo based off of Jedox data, incorporating many enhancements to the straight table and pivot table. In addition to the waterfall chart, they use inline SVG to create lollipop charts and bar charts in financial statements.
Here is a look at some of the sheets:
The Dashboard provides a high-level overview of profit and loss, cash flow and liquidity. On this sheet, view the use of inline SVG bar charts and lollipop charts.
The P&L sheet provides a more detailed look at profit and loss.
The Cost Center sheet uses the pivot table to show sales costs.
Find a detailed look of cash flow on the Cash Flow sheet.
This is just some of the sheets you will find in the Financial Analysis demo. If you are looking for appealing ways to visual your financial data while keeping it concise and clean, download the Financial Analysis demo (QVF) here.
Thanks,
Jennell
Migrating a Talend Studio project to the cloud is no small undertaking, but we are here to help.
Brought to you by Savraj Rakkar, Benoit Barranco, and Sébastien Leduc.
The Qlik Talend Cloud Migration Toolkit (QTCMT) is a structured migration solution built for teams running Talend on-premises who are looking to move to Qlik Talend Cloud and upgrade their project code to Talend 8. Whether the destination is the cloud or an on-premises environment, the Qlik Talend Cloud Migration Toolkit provides a clear, automated path to get there.
The Qlik Talend Cloud Migration Toolkit also extends beyond Talend Administration Center (TAC), offering an inventory view of Qlik Enterprise Manager (QEM) and Stitch environments so teams can see their full data integration footprint in one place.
Moving to Qlik Talend Cloud means less time managing servers, upgrades, and infrastructure, and more time focused on actual work. New features ship monthly, so the platform improves continuously without any effort from the team. Data stays current across connected systems in real time, and the platform scales as needs grow. Teams also benefit from unlimited users and execution engines, backed by a generous initial capacity band.
The best first step is installing the Qlik Talend Cloud Migration Toolkit through the Qlik Help Migration Center and connecting it to an existing Talend Administration Center, Qlik Enterprise Manager, or Stitch environment to get an immediate picture of what is there. Full installation steps are available in the Qlik Talend Cloud Migration Toolkit documentation.
If you have any questions, we're happy to assist. Reply to this blog post or take your queries to our Support Chat.
Thank you for choosing Qlik,
Qlik Support
Qlik's O365 Add-in offering for report developers has expanded with two new add-ins to enable Word document and PowerPoint presentation analytic reports.
Report developers can now:
Qlik add-ins for Microsoft Office are installed using a manifest file. If you are using an existing manifest, you will need to download and deploy an updated file to access the new add-ins. See the deployment guide Deploying and installing Qlik add-ins for Microsoft Office.
The manifest covers all three productivity tool Add-ins. They cannot be deployed individually.
Qlik’s integration testing of Microsoft PowerPoint APIs shows that the O365 Add-in for PowerPoint can be unstable or slow at times. Our investigation with Microsoft reveals this to be a known challenge; some APIs on web vs desktop can result in different behaviors.
If your report developers have difficulty with the online PowerPoint Add-in, contact Qlik Support to open a case with us.
While we investigate the integration with Microsoft to determine if a solution is possible, consider developing your reports with the desktop version of PowerPoint.
Qlik NPrinting May 2026 Initial Release added support for exporting compatible Word and PowerPoint report templates in QDOCX and QPPTX formats for import into Qlik Cloud Reporting.
Please note that only single-connection templates can be exported.
See the Release Notes for details.
If you have any questions, we're happy to assist. Reply to this blog post or take your queries to our Support Chat.
Thank you for choosing Qlik,
Qlik Support
Key Highlights
This release introduces new scripting capabilities that simplify development while improving performance and governance.
Why this matters:
Developers can now allow users to reload ODAG-generated apps, with optional inclusion of the load script
Why this matters:
Several enhancements make it easier for both creators and consumers to interact with apps:
Why this matters:
The assets panel has been reorganized into clearer categories:
Additionally, visualization and dashboard bundles are now integrated directly into the charts panel for easier access
Why this matters:
Tables continue to evolve into more interactive, user-driven experiences:
Straight Table Enhancements:
Pivot Table Exploration:
Why this matters:
This release continues to expand visual capabilities:
Why this matters:
The updated Share > Embed menu now integrates qlik-embed, making it easier to embed Qlik visualizations into external applications
Why this matters:
In Closing
The May 2026 release of Qlik Sense Enterprise on Windows delivers a strong combination of power, flexibility, and usability. From more efficient scripting and improved governance to richer visualizations and enhanced self-service capabilities, this release helps your teams do more with data — faster and with greater confidence.
We encourage you to explore these new features and consider how they can support your ongoing analytics modernization efforts.
A table recipe is an easy, no-code way to prepare a data set for an app, data flow, script or ML experiment. It is a great way for new users to prepare their data and get started building an app without having to write the script to transform the data. It can also be used by experienced users for quick data prep. Table recipe is available in Qlik Cloud Analytics from the Analytics activity center > Prepare data. You can also access it from the + Create menu option or + Create New button in the catalog. To begin using it, open table recipe, give it a name and select the space you would like to create it in. Once that is done, you will be prompted to select the data set. Note - the table recipe processes one data set at a time.
Once a data file is selected, you can view the fields to confirm it is the correct data set and then you can load it into table recipe. Once it is loaded, you will see a pop up indicating the number of rows and columns in the dataset. Note that all the rows may not be loaded into the table recipe editor, but the recipe will be applied to the entire data set when it is run. Below is a look at the table recipe. On the left is the functions panel that includes several functions that can be used to prepare the data. Functions are grouped as general, columns, strings, dates, numbers and math. On the right is where the steps in our recipe will be added.
Let’s begin with a simple step like deleting a column. I have a Fax column that I do not need so to delete the column; I can click on the column menu (three vertical dots) and select Delete column.
The step will appear on the right in the table recipe, and I can click Apply to remove the Fax column.
Next, let’s split a column into two new columns. I have a Contact Name field with the contact’s full name. I would like to split the name into two fields – one for first name and one for last name. To do this, I will select the Split column function from the list of string functions on the left. Then I can update the details and apply the step. I will change the separator to a space since that is what separates the first and last name in the ContactName column.
Once I apply that step, I can see the two new fields it generated.
I will open the column menu and select Rename column to change the names of the new columns. Once I apply those steps, the columns and the recipe look like the image below. Keep in mind that the table recipe has steps that flow in a specific order. If those steps were to change, you may not get the expected results. For example, if I moved the rename column step above the split column step it would not work because the column I am renaming does not exist yet.
It is also easy to reorder the columns with the table recipe. The Reorder column function is found in the function group named Columns. Simply, select the column you would like to move and click on the Reorder column function. To move the Address column to the left of the City column, I will select the City column from the Anchor column drop down and then click Apply.
We are also able to apply filters to the data if we want to focus on specific rows. In this example, Country has two different values for the United States – USA and US. I would like to change the US values to USA.
After applying the filter, I can see that I have 6 rows with US as the Country. I can use the string Search and replace function to replace US with USA.
This step included my filter, so it only applied it to the rows I have filtered on.
Let’s perform one more step that I use all the time when loading data. We will extract date parts from the OrderDate field. This will allow us to create other date fields such as month and year fields. If I select the OrderDate field and then select the date function Extract date parts, I am presented with all the possible date part fields I can add as a column to my data set. I simply can toggle on any new fields I would like to add.
Once this step is applied, I can see the 4 new date fields I added.
When all the steps have been added to the table recipe, the next steps are to set the target and run the recipe. Setting the target is nothing more than giving the target file a name and file type (qvd, parquet, txt or csv) and selecting the space to create it in.
What is nice about the table recipe is the steps are applied and stored in a new file, separate from the original data set, so you do not have to worry about incorrectly modifying the data set. Once the target is set, the Incomplete recipe message at the top of the page will change to Valid recipe and the Run recipe button will be enabled. Once the recipe is run, you can view your new data set and use it accordingly. The target data set will be stored in the desired space and can be accessed anytime via the catalog.
Notice how all these steps we are creating are very easy and intuitive to build. You do not have to be an expert to perform these steps, and the editor is very user friendly and has a clean flow. What is also nice is that you can see that each step is working as expected when you apply it. Take this product tour to get a feel for the table recipe and then try it for yourself. To learn more, check out Qlik Help.
Thanks,
Jennell
Hey guys join @Jennell_Yorkman and I for a quick community resource update as we highlight some of the latest ideas, enhancements, and best practices being shared across the Qlik Design Blog and Qlik Community.
From dashboard design and developer capabilities to visualization techniques and platform improvements, this session is a fast-paced roundup of useful content and community-driven insights to help you get more out of Qlik. Whether you’re building apps, designing dashboards, or exploring new capabilities, this is a great way to stay connected with what’s happening across the Qlik ecosystem.
Edited May 4th, 2026: Added mitigation article, published on the 4th of May.
Beginning on April 14, 2026, multiple QlikView customers experienced outages and intermittent disruptions within their QlikView environments. These incidents coincided with the deployment of Microsoft’s April 2026 security patches to Domain Controllers, which affected QlikView Server Service (QVS) communications over port 4747.
The Microsoft patches introduced changes targeting Kerberos authentication and RC4 encryption. See Addendum for a list of patches. As a result, QlikView environments where RC4 remained enabled (such as at the domain account or Windows server level) became unstable or non-functional.
The impact on QlikView may include, but is not limited to:
We've published an article to help address the issue. See QlikView server communication interruptions following Microsoft Windows RC4 cipher suite deprecation.
Information in the article is based on Microsoft's remediation steps and has been adjusted and expanded to include QlikView-specific instructions. For the original, see Detect and remediate RC4 usage in Kerberos | learn.microfot.com.
RC4 support was deprecated starting with the May 2024 release of QlikView. The root cause in these cases stems from legacy configurations where RC4 remained enabled in the environment, rather than a defect in QlikView itself. No code changes are planned at this time, though improvements to diagnostic logging are under consideration.
Microsoft Patches:
If you have any questions, we're happy to assist. Reply to this blog post or take your queries to our Support Chat.
Thank you for choosing Qlik,
Qlik Support
Hello Qlik Cloud users and admins,
We’ve enhanced the Qlik Cloud Status page subscription experience to give you more control over the notifications you receive.
Previously, subscribing meant you received incident and maintenance notifications for all Qlik Cloud regions. With the updated Statuspage experience, you can now choose specific Qlik Cloud regions you want to follow.
This helps reduce unnecessary notifications in your inbox and puts the focus on the Qlik Cloud deployment regions you have active tenants in.
To subscribe:
To update your preferences:
For a full guide, see Qlik Cloud and Qlik Talend Cloud Status.
Thank you for choosing Qlik,
Qlik Support