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Forums for Qlik Analytic solutions. Ask questions, join discussions, find solutions, and access documentation and resources.
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Forums for Qlik Data Integration solutions. Ask questions, join discussions, find solutions, and access documentation and resources
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Qlik Gallery is meant to encourage Qlikkies everywhere to share their progress – from a first Qlik app – to a favorite Qlik app – and everything in-between.
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Get started on Qlik Community, find How-To documents, and join general non-product related discussions.
Qlik Resources
Direct links to other resources within the Qlik ecosystem. We suggest you bookmark this page.
Qlik Academic Program
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Recent Blog Posts
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Qlik 評価ガイド（日本語版）の公開
Qlik 評価ガイド（日本語版）を公開します。Qlik のアーキテクチャ、信頼性やセキュリティなどをご確認いただけます。 原文（英語）は Help サイトの Qlik Evaluation Guide にあります。https://help.qlik.com/en-US/evaluation-guid... Show MoreQlik 評価ガイド（日本語版）を公開します。Qlik のアーキテクチャ、信頼性やセキュリティなどをご確認いただけます。
原文（英語）は Help サイトの Qlik Evaluation Guide にあります。
https://help.qlik.com/en-US/evaluation-guides/Content/Home.htm
https://help.qlik.com/en-US/evaluation-guides/Content/pdfs/pdfs.htmQlik Cloud Platform
QlikのCloud 製品の基盤となるプラットフォームの技術概要です 。アーキテクチャ、セキュリティ、ガバナンス、信頼性に焦点を当て、各顧客が「テナント」として論理的に分離された安全な環境でデータ統合や分析サービスを利用できる仕組みを詳述しています
Qlik Cloud Analytics
アナリティクスプラットフォーム「Qlik Sense」を中心に解説したガイドです 。独自の連想エンジンを基盤とし、AIによる洞察提案や自動化機能を備え、セルフサービス分析からレポート作成まで、あらゆるユーザーの意思決定を支援する機能をご説明します。
Qlik Talend Data Integration
データの統合・変換・配信を担うプラットフォーム「Qlik Talend Data Integration」の解説です 。リアルタイムの変更データキャプチャ（CDC）やノーコードでのデータ変換パイプライン構築により、信頼性の高いAI対応データを準備し、能動的なBIを実現する機能をご説明します 。
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Data Products for Analytics Now Available
Bringing trusted, AI-ready data products directly into Qlik Cloud Analytics Data Products for Analytics are now available in Qlik Cloud Analytics Pre... Show MoreBringing trusted, AI-ready data products directly into Qlik Cloud Analytics
Data Products for Analytics are now available in Qlik Cloud Analytics Premium and Enterprise and Qlik Sense Enterprise SaaS.
With this release, you can turn your existing QVDs and datasets into governed, discoverable, and reusable data products, adding data quality, context, and ownership directly within your analytics environment.
See how data products turn existing datasets into trusted, reusable assets for analytics and AI:
Stronger foundation for analytics and AI
AI is only as effective as the data it relies on. As AI becomes more a part of everyday workflows, the reliability of the underlying data foundation becomes more critical.
Data Products for Analytics help ensure that AI assistants, agents, and applications operate on datasets that are validated, explainable, and aligned with the rest of your business. Through Qlik MCP server, AI can access your trusted data products, establishing a reliable foundation for responsible, scalable AI and agentic workflows.
This shared foundation connects analytics, automation, and AI, so every insight is consistent and trusted.
Turn trusted data into trusted insight
This release brings data quality and governance directly into everyday analytics workflows, so you can move faster with confidence.
Data products and data quality capabilities are now accessible from your activity center, making it easy to manage. Build and launch applications and other analytics assets fast, right from data products with just a few clicks.
Easily see business context, data quality indicators, and the Qlik Trust Score to help you quickly understand whether data is ready to use. Ownership, lifecycle management, and end-to-end-lineage provide transparency and accountability to have confidence in your data.
With data products, teams can move faster from data to insight, reducing preparation time and accelerating analytics app development.
Find and reuse trusted data, faster
Data products make it easier to discover and reuse analytics-ready data across your organization.
You can browse certified, domain-focused data products under your centralized data marketplace to quickly identify the right asset using business descriptions, usage context, and visible quality and trust indicators. AI-generated summaries and field descriptions make it easier to understand contents in a dataset faster and reduce the time spent searching and documenting sources.
By making trusted data easy to find and reuse across analytics, applications, and AI workflows, teams can avoid redundant data preparation and duplicated effort. Get insights faster and turn existing data investments into a scalable foundation that supports consistent results across the business.
Get Started
Resources to learn more:
- What’s New in Qlik Cloud | Qlik Help
- Working with data products | Qlik Help
- Data Products | Qlik.com
- Maximizing Data Value in the Age of AI | White Paper
- From Digital Swamp to Strategic Asset: Taming QVD Chaos with a Data product Mindset | Blog
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Techspert Talks - Optimizing Qlik Cloud App Performance
Hi everyone, Want to stay a step ahead of important Qlik support issues? Then sign up for our monthly webinar series where you can get first-hand insi... Show MoreHi everyone,
Want to stay a step ahead of important Qlik support issues? Then sign up for our monthly webinar series where you can get first-hand insights from Qlik experts.The Techspert Talks session from March looked at Optimizing Qlik Cloud App Performance.
But wait, what is it exactly?
Techspert Talks is a free webinar held on a monthly basis, where you can hear directly from Qlik Techsperts on topics that are relevant to Customers and Partners today.In this session we will cover:
- App performance evaluation tools
- How to improve app performance
- Development best practices
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Welcome Back Dr. Terrence Perera as Qlik Educator Ambassador for 2026!
Since joining the Ambassador community, Terrence has continued to expand the role of analytics within his teaching. One exciting development is the up... Show MoreSince joining the Ambassador community, Terrence has continued to expand the role of analytics within his teaching. One exciting development is the upcoming update of the Year 2 Business Intelligence module, which will be relaunched in September 2026 under the new title “Business Analytics and Visualization.” The revised course will include an additional lab session, bringing the total to five, and will further strengthen students’ practical analytics skills through hands-on learning.
Alongside this update, the University of Sheffield is preparing to launch a new master’s program, MSc Business Analytics, starting in September 2026. The program will include a new module titled “Data Mining and Visualization 2,” where Qlik will play an integral role in helping students explore advanced analytics and data visualization techniques.
Terrence has already seen the tangible impact that analytics skills can have on students’ career opportunities. According to him, students with Qlik experience are increasingly attracting attention from employers. In fact, a UK-based company recently reached out directly to recruit graduates who have worked with Qlik as part of their studies. “Qlik is certainly helping our students secure internships and jobs in the data analytics sector,” he explains.
This growing impact was also recently highlighted in a Qlik Academic Program success story featuring the University of Sheffield, where Terrence and his students shared how hands-on analytics training is helping bridge the gap between classroom learning and real-world data skills. The story illustrates how integrating practical tools such as Qlik into business education can significantly enhance students’ employability and analytical confidence.
In the classroom, Terrence continues to look for new ways to evolve his teaching. One of his key goals is to introduce more content focused on predictive capabilities, helping students move beyond descriptive analytics toward more advanced analytical thinking.
Looking at the broader industry landscape, Terrence believes the growing influence of artificial intelligence is reshaping the role of analytics across industries. “AI is having a significant impact across industries, making it increasingly important that Business Intelligence and AI are integrated,” he notes. As organizations increasingly rely on data-driven insights, universities are feeling the pressure to equip students with the skills required to work at the intersection of analytics and AI.
Beyond the classroom, Terrence has also received notable recognition for his dedication to teaching excellence. Over the past year, he was awarded Senior Fellowship by the Higher Education Academy and received the Education Award for Teaching Practice in the Faculty of Social Sciences, highlighting his ongoing commitment to innovative and impactful education.
His role as a Qlik Educator Ambassador has also created opportunities to extend the reach of analytics beyond his own institution. Over the past year, Terrence has introduced Qlik to four additional business schools and delivered workshops for both students and staff within the management school, helping to build awareness of modern analytics tools in higher education.
Reflecting on his decision to return as an Ambassador, Terrence emphasizes the value of the partnership:
“I decided to apply again to be a Qlik Educator Ambassador because the partnership has been genuinely transformative for my teaching, my students, and the wider curriculum.”
We are thrilled to have Terrence continuing as part of the Qlik Educator Ambassador community. His dedication to embedding analytics into business education and preparing students for the future of data-driven decision-making continues to make a meaningful impact on both students and educators alike.
👉 For more information about our Ambassador Program, visit: qlik.com/us/company/academic-program/ambassadors
👉 For more information about our Academic Program, visit: qlik.com/academicprogram -
Deprecation Notice: Qlik Analytics Connectors for Slack V2 and Facebook Insights...
The following connectors will be removed and are no longer recommended for further use: Slack V2 and Facebook Insights for Qlik Cloud Analytics Slack... Show MoreThe following connectors will be removed and are no longer recommended for further use:
- Slack V2 and Facebook Insights for Qlik Cloud Analytics
- Slack V2 and Facebook Insights for Qlik Sense Enterprise on Windows
- Slack V2 and Facebook Insights for the standalone Qlik Web Connector
This change is driven by Slack’s updated app guidelines and requirements, which now classify exporting message data as unsuitable for external applications. The Qlik Automation and Qlik Talend Cloud Slack connectors are unaffected.
The Facebook Insights connector will be deprecated at the same time.
When will the connectors be deprecated?
The removal timeline is as follows:
- Qlik Cloud Analytics: End of July 2026
- Qlik Web Connector (standalone): July 2026 release
- Qlik Sense Enterprise on Windows: November 2026 release
If you have any questions, do not hesitate to contact us through the Qlik Customer Portal.
Thank you for choosing Qlik,
Qlik Support -
Upcoming Maintenance for Qlik Cloud: March 2026
Qlik Cloud will undergo scheduled maintenance in March 2026. We’re upgrading and scaling our infrastructure to deliver a faster, more reliable, and se... Show MoreQlik Cloud will undergo scheduled maintenance in March 2026. We’re upgrading and scaling our infrastructure to deliver a faster, more reliable, and seamless experience for you. These improvements strengthen performance, enhance stability, and ensure our platform continues to grow with your needs.
The maintenance windows will occur per region and are expected to last a maximum of 60 minutes.
What is the expected impact?
Qlik Cloud will undergo scheduled maintenance that includes two separate impacts:
(1) Qlik Cloud – Identity Services (Limited to three Regions | 30 Minutes)
Qlik Cloud will experience a functional degradation of 30 minutes, during which its Identity Services are impacted:
Impacted Regions:
- Qlik Cloud – AWS – Asia Pacific (Mumbai)
- Qlik Cloud – AWS – Europe (Ireland)
- Qlik Cloud – AWS – US East (N. Virginia)
During this time:
- No new tenants can be created
- Users cannot be managed, which includes:
- Creating or inviting new users
- Updating user profiles
- Assigning groups
- Changing roles and permissions
- Deactivating or deleting users
- Group Management is unavailable, which includes:
- Creating new groups
- Modifying group settings
- Adding or removing members
- Updating group roles
- Role and Permission management is unavailable, which includes:
- Creating or modifying custom roles
- Updating permission assignments
- Changing role settings
No other impact is expected. Existing users can continue to log in and use their assigned Qlik Sense applications as normal. Automation and report features will continue to function without interruption.
If the existing user’s IdP (Identity Provider) information has changed, they may not be able to log in during the maintenance window. You may see the error BAD-GATEWAY, Invalid response from the upstream service.
Modifying roles or permissions during the maintenance window leads to a Failed to update role error with the error code IDENTITIES-10405.
(2) Qlik Answers (Global Impact – 60 minutes)
A full outage of Qlik Answers during the 60-minute maintenance window. Knowledge base indexing and any queries will fail to run.
Impacted Regions:
- Qlik Cloud – AWS – Asia Pacific (Tokyo)
- Qlik Cloud – AWS – Asia Pacific (Sydney)
- Qlik Cloud – AWS – Asia Pacific (Singapore)
- Qlik Cloud – AWS – Asia Pacific (Mumbai)
- Qlik Cloud – AWS – Europe (Frankfurt)
- Qlik Cloud – AWS – Europe (London)
- Qlik Cloud – AWS – Europe (Ireland)
- Qlik Cloud – AWS – US East (N. Virginia)
What do I need to do to prepare?
Be informed about the upcoming maintenance and alert your userbase if needed. No direct action is required from your end in preparation.
What follow-up actions are required?
None.
When will the maintenance take place?
The following tables include the maintenance start time for each affected region. To reiterate, the Qlik Cloud identity services are affected for 30 minutes, while the Qlik Answers maintenance is planned to last 60 minutes.
Region Maintenance Start Asia-Pacific (Tokyo)
(ap-ne-1)
Monday 9 March 2026
23:00 JST (Tokyo)
UTC: 9/03/26 – 14:00Asia-Pacific (Sydney)
(ap-se-2)
Thursday 12 March 2026
01:00 AEDT (Sydney)
UTC: 11/03/26 – 14:00Europe (Frankfurt)
(eu-c-1)
Monday 16 March 2026
21:00 CET (Frankfurt)
UTC: 16/03/26 – 20:00Asia-Pacific (Mumbai)
(ap-s-1)
Tuesday 17 March 2026
20:00 IST (Mumbai)
UTC: 17/03/26 – 14:30Europe (Ireland)
(eu-w-1)
Wednesday 18 March 2026
21:00 GMT (Ireland)
UTC: 18/03/26 - 21:00Europe (London)
(eu-w-2)
Monday 23 March 2026
21:00 GMT (London)
UTC: 23/03/26 - 21:00Asia-Pacific (Singapore)
(ap-se-1)
Tuesday 24 March 2026
22:00 SST (Singapore)
UTC: 24/03/26 - 14:00North America (N. Virginia)
(us-e-1)
Wednesday 26 March 2026
21:30 EDT (Virginia, US)
UTC: 27/03/26 - 01:30To track further updates during the scheduled Qlik Cloud Maintenance, please visit our Qlik Cloud Status page. This blog post will be updated with additional information where necessary.
Thank you for choosing Qlik,
Qlik Support -
(Re)Introducing the Qlik Sense Enterprise on Windows Admin Playbook
Hello Qlik Sense Admins! Are you looking for best practices on how to manage and maintain your Qlik Sense client-managed environment? Then look no f... Show MoreHello Qlik Sense Admins!
Are you looking for best practices on how to manage and maintain your Qlik Sense client-managed environment? Then look no further than our Qlik Sense Admin Playbook, which is now available directly on Qlik Help.
What is this playbook, and where can I find it?
The playbook provides you with a repository of administrative best practices, organized by cadence and category for Qlik Sense Enterprise on Windows, and can be found here: Qlik Sense Admin Playbook
It can also be accessed from the help site's top navigation bar > Playbooks (A) > Qlik Sense Administrator Playbook (B) :
Do you collect feedback?
Absolutely. To suggest improvements, please use the Leave your feedback here option on whichever page you want to comment on.
What about the old playbook?
Some of you may already be familiar with the playbook's previous iteration, and you will find that the old URL now redirects to the help site accordingly. The old content will be retired later in the year.
Thank you for choosing Qlik,
Qlik Support -
Meet Our Newest Qlik Community MVPs: Robert Mika & Andrea Gigliotti
We’re excited to welcome two exceptional contributors into the Qlik Community MVP Program, @robert_mika and @agigliotti! The MVP title represents more... Show MoreWe’re excited to welcome two exceptional contributors into the Qlik Community MVP Program, @robert_mika and @agigliotti!
The MVP title represents more than a badge, it recognizes consistent expertise, generosity, and a genuine commitment to supporting others across the Qlik Community. Robert and Andrea have both demonstrated exactly that through their steady presence, thoughtful responses, and willingness to help fellow members succeed.
Their consistent and supportive voices have made a meaningful impact, strengthening conversations and elevating the experience for everyone in the Community. We’re proud to recognize their contributions and officially welcome them into the MVP program.
Please join us in celebrating Robert and Andrea as they join our global network of Qlik leaders and advocates. We’re excited to see the continued impact they’ll make, welcome to the MVP family!
Your Qlik Community Managers,
Sue, Jamie, Caleb and Brett
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Welcome back Daniel O'Leary-Qlik Educator Ambassador for 2026!
Innovations in Course Structure Daniel has integrated Business Intelligence tools more extensively into his curriculum. He has shifted his focus on Ql... Show MoreInnovations in Course Structure
Daniel has integrated Business Intelligence tools more extensively into his curriculum. He has shifted his focus on Qlik to his master’s degree class, Advanced Enterprise Systems, effectively doubling the number of students gaining hands-on experience with this software.A significant enhancement to his teaching methodology is the introduction of a group-based term project. Student teams analyze “Open Data” of their choice using Qlik, Power BI, and Tableau. They then create reports showcasing their findings and visualizations, culminating in a class presentation. This hands-on approach strengthens their data analytics capabilities and practical application skills.Career Outcomes for StudentsDaniel proudly notes that at least one of his students secured a job specifically due to their Qlik expertise. This highlights the growing demand for BI tool proficiency in today’s job market.Future Classroom GoalsLooking ahead to 2026, Daniel plans to develop an in-depth case study on the use of analytics in real-world applications. Potential topics include the utilization of Qlik by the United Nations or its role as an audit platform. He aims to conduct interviews with industry professionals to provide a deeper understanding of these use cases.As analytics education evolves, Daniel foresees an increasing integration of analytics within multiple courses, rather than treating it as a standalone subject. He dedicates a third of his Advanced Enterprise Systems course to data and analytics, a trend he expects to expand across disciplines.Professional AchievementsDaniel was recently named the Ernst & Young Professor of Accounting and received a courtesy appointment as Professor of Data Sciences and Operations, further cementing his influence in the field of analytics and education.Reapplying for the Qlik Educator Ambassador ProgramDaniel reapplied to the Qlik Educator Ambassador Program, citing the invaluable insights gained from expert-led lectures. These educator sessions not only enhance his understanding of Qlik but also provide broader analytics insights that he incorporates into his classroom discussions.Professional Recognition and BenefitsHis participation in the program has also bolstered his professional reputation. Announcing his involvement on LinkedIn sparked engagement from industry peers, further solidifying his standing in the data and analytics community.Survey Results: Student Preferences in BI ToolsIn a survey conducted in his Advanced Enterprise Systems course, O’Leary asked students to rank their preferred BI tools after completing assignments in Power BI, Qlik, and Tableau. The results were as follows:-
Qlik: 26 votes
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Tableau: 18 votes
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Power BI: 10 votes
These findings suggest that students find Qlik particularly effective, reinforcing its value as an essential tool in analytics education.Daniel O’Leary continues to lead the charge in analytics education, constantly refining his teaching approach to align with industry trends. Whether through hands-on projects, AI integration, or professional collaborations, he remains dedicated to equipping students with the tools they need for success in the evolving world of data analytics. -
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Learn and Earn!
Earn awards as you complete key milestones. Finish an entire journey to receive an official Credly digital badge — and share your awards and badges on... Show MoreEarn awards as you complete key milestones. Finish an entire journey to receive an official Credly digital badge — and share your awards and badges on social media to showcase your achievement.
Get Started
Choose Challenges from the Topics menu and select a journey that fits your goals.
Build your expertise in Qlik products while earning recognition for your progress.Start your journey today.
Check out the Learning Journeys we have put together for you. Click each block to learn more about the path and navigate to it.
You can view awards and badges you've earned by navigating to My Learning, then selecting Credentials.
Still have questions? Check out the FAQs at the bottom of the page.
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【オンデマンド配信】2026年製品ロードマップ：Qlik でデータを AI の原動力へ
ビジネスにおける AI 活用のニーズが高まる中、データを取り巻く環境は複雑化しています。データの役割は「人間が使うためのデータ」から「機械（エージェント）が意思決定をするためのデータ」へと変化しています。一方、AI は「人間が使うツール」から、自律的に思考して行動する「エージェンティック AI（A... Show Moreビジネスにおける AI 活用のニーズが高まる中、データを取り巻く環境は複雑化しています。データの役割は「人間が使うためのデータ」から「機械（エージェント）が意思決定をするためのデータ」へと変化しています。一方、AI は「人間が使うツール」から、自律的に思考して行動する「エージェンティック AI（Agentic AI）」へと進化を遂げつつあります。AI 活用の焦点が導入から運用に移行している今、AI による意思決定と行動を信頼し、コストを最適化して将来のビジネスを見据えた柔軟性を維持する必要があります。
2026年 2月、Qlik は、新たなエージェンティック体験を提供する製品を発表しました。今後も急速な変化に対応する革新的な製品をリリースしていきます。Qlik のデータ分析・データ統合ソリューションが、 どのように AI のパワーをビジネス成果につなげることができるのか？本 Web セミナーでは、クリックテック・ジャパンの技術担当者が、常に革新し続けている Qlik 製品のロードマップをご紹介します。ぜひ、ご参加ください。
- これまでの意思決定を変革する新たなエージェンティック体験
- コストを価値を生む領域へ再配分する鍵となるオープンレイクハウス
- データの品質と信頼性を維持する再利用可能なデータ製品
※ 視聴無料。パソコン・タブレット・スマートフォンで、どこからでもごご視聴いただけます。 -
Community Updates and Highlights March 2026
Hi Qlik Community, As we continue into the new year, we wanted to share a few important updates and milestones from across the Community, along with o... Show MoreHi Qlik Community,
As we continue into the new year, we wanted to share a few important updates and milestones from across the Community, along with opportunities to stay connected and informed.
Here’s what’s happening this month.
QlikView Forum Consolidation Complete
We’ve successfully completed the consolidation of our QlikView forums to create a more streamlined and centralized experience.
Posts from the following forums:
- QlikView Administration
- QlikView Connectivity
- QlikView Integrations
have now been migrated into QlikView App Dev, which has been renamed simply to QlikView.
Prior to the migration, all existing posts in QlikView App Dev were labeled to preserve structure and improve discoverability. This update reduces fragmentation across discussions and makes it easier to find relevant QlikView content in one unified space.
Please be sure to use the correct labels when creating a new post. If you encounter anything unexpected, please let us know.
Qlik Connect is Right Around the Corner!
We are counting down the days, and we can't wait to see you at the Qlik Community booth! Are you registered yet? Join us to connect with Community members, product experts, and the broader Qlik ecosystem.
Let us know below in the comments if you are attending!
Check out the latest events:
Qlik Named a 7-Time Gartner® Magic Quadrant™ Leader
Qlik has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.
This recognition highlights Qlik’s continued commitment to innovation across data integration, quality, and AI-driven capabilities. You can access the full report on demand to see what sets Qlik apart.
Agentic AI Survey
79% of enterprises say agentic AI is critical to their strategy, yet only 18% have deployed it.
Explore the latest Agentic AI Survey findings to understand what’s holding organizations back and what leaders are doing to move forward with confidence.
BARC Report: Essential ISV Capabilities
BARC’s latest report highlights the most essential capabilities for independent software vendors in today’s data and AI landscape.
Discover how modern data integration, analytics, and AI capabilities are shaping competitive differentiation and long-term success.
Qlik AI: Predict, Answers, MCP – In-Person Technical Residency
Join us for an immersive three-day technical residency focused on designing, implementing, and orchestrating Qlik’s modern AI stack, including Predict, Answers, and MCP.
These sessions provide hands-on learning and deep technical insight into building AI-driven solutions with Qlik.
Q&A with Qlik
Our Q&A with Qlik sessions continue to provide direct access to product experts.
Upcoming sessions focus on app optimization and performance best practices in Qlik Cloud Analytics. These interactive sessions are a great opportunity to ask questions and gain practical guidance.
Be sure to check the Events page regularly for newly added sessions and regional offerings.
Thank you for sharing your knowledge, answering questions, and helping others succeed. Your contributions are what make this Community thrive.
We appreciate your continued involvement and look forward to sharing more updates next month.
Your Qlik Community Managers,
Sue, Jamie, Caleb, and Brett@Sue_Macaluso @Jamie_Gregory @calebjlee
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Data Flow Processors
In this blog post, I will review some data flow processors that can be used to prepare your data in a data flow. Let’s start by quickly reviewing what... Show MoreIn this blog post, I will review some data flow processors that can be used to prepare your data in a data flow. Let’s start by quickly reviewing what a data flow is. In Qlik Cloud Analytics, a data flow is a no-code experience that visually allows you to prepare your data with drag and drop capabilities. It is intuitive and easy to use and does not require the user to have scripting experience. Data flow processors, along with sources and targets, are used to build a data flow. Each processor handles a specific data transformation task. Here you will find a full list of the data flow processors available.
This blog will touch base on a few processors to familiarize you with how they work and how easy they are to use. To begin, a data flow must first be created. There is more than one way to do this. From the Qlik Cloud Analytics catalog, click on the + Create new button and select Data flow or navigate to Prepare data from the menu and click on the add Data flow button at the top of the page.
+ Create new menu
+ Create new
Prepare data
Menu
Data flow
Once you name the new data flow, navigate to the Editor.
On the left, there are sources, processors and targets. The source is the data input, the processors are the data transformation types, and the targets are data outputs. Before we can look at the processors, we need to select our input data from the data catalog or a connection. Once that is in place, we can begin to explore the processor options. There are several data flow processors – too many to review in this blog but I will review three of the them - the Filter processor, the Join processor and the Unpivot processor.
Filter Processor
The filter processor filters data based on a condition. A processor can be added to the data flow canvas by dragging and dropping the processor onto the canvas or by clicking on the menu in the data source and selecting Add processor.
If you drag and drop the processor onto the canvas, you will need to connect the dots between the input and processor. If you add it from your data source menu, the dots will automatically be connected for you.
Each processor has a properties panel where the processor can be configured. In this example, let’s use the filter to select employees who live in the United States. To do this, first select the field to process – Country. There is an option to apply a function but one is not needed in this example. The operator will be equal, and the Value will be United States. Once the properties are entered, click the Apply button to save.
At the bottom of the page, I can preview the script (matching and not matching records) for the filter processor I just applied and see a preview of the data.
From the filter processor menu, there are a few options for my next step as seen below.
Add matching target will add a target to the data flow for the records that match the Country = United States filter. Add non-matching target will add a target to the data flow for the records that do not match the Country = United States filter. Matching and non-matching processors can also be added. For this example, I will add a matching target and in the properties panel, I will select the space, the extension (.qvd, .parquet, .txt or .csv) and the name of the target file. Like the sources, the target can be a data file or connection. Once I click Apply in the properties panel, I will see a message at the top right indicating that my flow is valid and ready to be run. Running the data flow will grab my Employees dataset, filter the data by country and store the results in a QVD named US Employess.
I now have a data file that has been transformed and prepared for use.
Join Processor
Now, let’s look at how we can join two data inputs into one data output. To do this, two data inputs are required. In the example below, ARSummary and ARSummary-1 are the two data inputs.
In the properties panel of the join processor, the join type is selected and the fields that should be used to link the two tables are selected. You can learn more about joins here. Once the target is added, the data flow can be run, and the result will be a single table with the records from the ARSummary table and the associated records from the ARSummary-1 table.
Unpivot Processor
If you are familiar with scripting, the unpivot processor is like a crosstable load. It allows you to rearrange a table so that column data becomes row data. It can transform a table like this:
To this:
Here is an example data flow with the unpivot processor:
In the properties panel of the unpivot processor, there are only a few settings to update. The first is the unpivot fields. Here is where the fields that we want to unpivot are selected. In this example, we want the year to be stored as row level data so we select them all.
The Attribute field name is the name we want to give to the unpivoted fields – in this case Year. The Value field name is the name of the data that is associated with the fields we are unpivoting – in this examples Sales.
After applying the changes and running the data flow, we will have a table transformed based on our specifications without any code.
In this blog post, we touched upon three of the many processors that can be used in a data flow. Note that a data flow can have many sources, processors and targets – it all depends on your needs. The visual interface of a data flow makes it easy to prepare your data without any code in an appealing design that is easy to follow. Try it out!
Thanks,
Jennell
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Cidados
Cidados Sebrae GO Dados abertos do Governo do Estado de Goiás Discoveries Cidados Impact Cidados Audience Dados abertos do Gove... Show More
CidadosSebrae GO
Dados abertos do Governo do Estado de Goiás
Discoveries
Cidados
Impact
Cidados
Audience
Dados abertos do Governo de Goiás
Data and advanced analytics
Dados abertos do Governo de Goiás
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Passport Learning Experiences | February & March 2026
These sessions help you: Clarify doubts and unblock challenges Go deeper into specific topics with expert guidance Connect learning with real-world u... Show MoreThese sessions help you:
- Clarify doubts and unblock challenges
- Go deeper into specific topics with expert guidance
- Connect learning with real-world use cases
Here are the upcoming Passport Learning Experiences for February and March
Passport Talks
Thursday, Feb 27 & Mar 20, 2026
15:00–16:00 CETAn interactive live session where you can:
- Ask questions
- Clarify doubts
- Gain practical insights
- Connect directly with the experts who teach Qlik every day
Reusing Scripts with Subroutines
Friday, Mar 6, 2026
15:00–16:00 CETIn this advanced session, you will learn how to improve efficiency and maintainability in your Qlik Sense data load scripts by using subroutines.
The session covers how to create reusable script components, pass parameters, and apply best practices for modular scripting.
Who can join?
These Passport Learning Experiences are included with the
Qlik Instructor-Led Training 12-month Subscription (Qlik Public ILT Passport).Book your seat and keep your learning journey moving forward.
Don’t have your Passport yet?
Purchase your subscription here. -
Welcome back as Qlik Academic Program Educator Ambassador : Chee-wai, Ho!
I am pleased to introduce Qlik Academic Program Educator Ambassador for 2026, Chee-wai, Ho from Republic Polytechnic, Singapore. This is his second te... Show MoreI am pleased to introduce Qlik Academic Program Educator Ambassador for 2026, Chee-wai, Ho from Republic Polytechnic, Singapore. This is his second term as the Educator Ambassador and we are pleased to have him yet again!
Chee-wai has been actively involved in upskilling adult learners in data literacy for more than six years in Republic Polytechnic’s Specialist Diploma in Business Analytics (SDBA) in Singapore. According to Chee-wai, “Data literacy in practical translates into identifying and correcting data issues, follow by data visualization to make informed business decisions. This is also the foundation for fruitful predictive and prescriptive analytics.”
In 2023, Chee-wai successfully added Qlik Cloud to supplement the current tool suite used in the SDBA curriculum. Three intakes of SDBA participants have experienced using Qlik Cloud and more are projected to benefit from this valuable addition, ensuring future participants receive the same well-rounded learning experience.
Chee-wai says, “While Qlik Cloud has powerful data wrangling and visualization capabilities, these are not the main draws of using Qlik Cloud for SDBA. Instead, Qlik Cloud provides SDBA participants with a practical introduction of how AI can improve the process of data visualization and analysis. With this as the focus, SDBA participants first experience with Qlik Cloud is through Insight Advisor. While Insight Advisor is not promoted as Gen AI, its output is akin to what Gen AI can produce albeit in the focused realm of discovering existing patterns and relationships within existing data.”
To Chee-wai, this is a strength and not a weakness. He further adds, Insight Advisor serves as an intelligent bridge between Qlik Sense’s comprehensive data ingestion/transformation capabilities and its sophisticated data visualization capabilities. Starting round 2023, there are LLMs touted as being capable of data analysis. Indeed, they do a credible job but only for straightforward data sets. Are they able to seamlessly connect to your corporate data warehouse, navigate a complicated star schema and present insights? What about the data visualizations produced? Can these be weaved into a coherent and aesthetically pleasing presentation easily? Likely in future but not for the time being. Using Insight Advisor, the entire cycle of ingestion and visualization is much more automated, integrated and done at scale. This is what Chee-wai wanted SDBA participants to experience from Qlik Cloud’s Insight Advisor. Having said that, he is aware that there is Qlik Cloud LLM integration. However, this incrementally improves the Qlik Cloud process and does not drive the core engine that produces Qlik Cloud’s output. It remains to be seen whether this will change going forward.
According to Chee-wai, many participants were pleasantly surprised to find that Insight Advisor was as proficient as they were in answering queries directed at a complicated RDBMS data schema. Qlik Cloud’s greatest strength lies in its ability to blend connectivity to disparate data sources at scale, automate visualization and analysis, and easily incorporate these into data stories.
As a Qlik ambassador, Chee-wai hopes to see graph database support in Qlik Cloud to identify less obvious trends and relationships between entities, further enhancing the tool's capabilities. He also hopes that Qlik's academic license will provide access to auto ML, which will significantly enhance the SDBA experience by reducing the effort and cognitive load required to access machine learning in an enterprise setting. He also understands that despite the technical robustness of the Qlik platform, without the support from the Asia Pacific Academic Program office, the adoption and sustained use of Qlik Cloud could have been challenging for the SDBA participants. For this, he is very grateful for the support and encouragement given.
Looking to 2026 and beyond, Chee-wai sees AI being increasingly commoditized, improving access and ubiquity. Some tasks previously done by specialized, purpose-built models will be handled by GenAI. After all, a foundation model is a vast repository of encoded knowledge, and techniques to tap into this productively (and widely) will continue to improve. There is also the likelihood that several specialized models will be replaced by a single, general but equally capable model.
Away from work, Chee-wai enjoys spending time outdoors hiking mountains in Asia and playing board games that involve strategic thinking. With more automation from AI, he hopes to have even more time (and opportunities) to enjoy these activities.
For more information about the Qlik Academic Program, visit: qlik.com/academicprogram
To know more about the Qlik Academic Program Ambassadors, visit: https://www.qlik.com/us/company/academic-program/ambassadors
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Still Growing, Still Inspiring: Meet Our Returning Qlik Educator Ambassadors 202...
Where It All Began When Angel was first recognized as an Ambassador, he was already doing remarkable things as a Professor of Business Intelligence at... Show MoreWhere It All Began
When Angel was first recognized as an Ambassador, he was already doing remarkable things as a Professor of Business Intelligence at Instituto Tecnológico Autónomo de México (ITAM). His BI Best Practices Catalog on Qlik Sense gave students a practical shortcut to key metrics and dimensions by industry and business area, less time searching, more time solving. His open workshops welcomed students from all backgrounds. His outreach to educators at Universidad Nacional Autónoma de México (UNAM) and beyond helped spread the culture of data literacy well past his own campus.
The results? Former students landing jobs, becoming Qlik customers, and in some cases, becoming professors themselves. Angel doesn't just teach a skill, he builds careers and communities.
Year After Year: Going Even Deeper
Rather than rest on that foundation, Angel keeps expanding it. His BI Best Practices Catalog continues to grow, his curriculum integrates AI Literacy alongside Data Literacy, and his classroom remains as hands-on as ever, regression analysis, data visualization, dashboard design, all grounded in real-world application.
This year, he is taking things even further by leveraging the latest capabilities of the Academic Program tenant: using Data Flows to give students hands-on experience with real data transformation, and Qlik Predict to bring machine learning to life with practical examples.
"AI is the buzzword, and we need to prepare students accordingly," Angel says. It's a simple statement, but it reflects something important: Angel is always looking ahead, always asking what his students will need not just today, but when they graduate into a world that keeps changing.
Year after year, his passion hasn't dimmed, if anything, it's grown. And that is a testament to the kind of educator he truly is.
Congratulations, Angel. Your passion is contagious, your impact is real, and we couldn't be prouder to have you back.
For more on our Educator Ambassador Program, visit: qlik.com/academic-program/ambassadors
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Changes to the Qlik Cloud Data Alerts history retention starting April 20th, 202...
Today, the Data Alerts feature in Qlik Cloud Analytics retains a history of data that meets the alert condition indefinitely. An upcoming change will ... Show MoreToday, the Data Alerts feature in Qlik Cloud Analytics retains a history of data that meets the alert condition indefinitely. An upcoming change will introduce an automated purge.
For more information on Data Alerts, see Monitoring data with alerts.
What will the new retention policy be?
The retention records (seen in Data Alert history) of Data Alert executions will be purged after 90 days or after 10 records (if not within the 90-day window).
Why is the retention policy changing?
The Data Alert feature was not designed to support long-term retention of data sets outside the core Qlik Sense App, but to allow you to detect outliers and anomalies in your data using quick and timely alerts.
In addition, this will align the Data Alerts history with other retention periods on the platform and help eliminate ambiguity.
What do I need to do?
Unless data alert history is required beyond the set period, no action is needed from your end.
In a use case where you need additional history, use the public APIs to facilitate the availability of alert evaluations and associated data. The Data Alerts REST API can be used to perform any required backup and retention.
For more information, see Data Alerts REST | qlik.dev.
Key end points:
- List data alert tasks
- Get data alert task
- List data alert task executions
- Get data alert task execution evaluation
When will the changes take effect?The change will be applied starting Monday, April 20th, 2026. During this week:
- The retention rules will be implemented
- History beyond the 90-day window will be purged while leaving the most recent executions untouched; this will allow reports relying on comparisons against the last evaluation to continue to work (see Comparing with the last evaluation of the alert).
- The purge will happen on a rolling basis.
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 Talend: What to do if you receive a 'We couldn't load the application' erro...
Hello Qlik Talend admins! We introduced a new Content Delivery Network (CDN) URL to support the Talend Management Console UI. This change was previo... Show MoreHello Qlik Talend admins!
We introduced a new Content Delivery Network (CDN) URL to support the Talend Management Console UI. This change was previously communicated in the product and can be found as an item in our release notes from R2026-01.
Should you encounter the error We couldn't load the application when accessing your Talend Management Console, check with your network team to verify that the new CDN was added to any firewall exceptions.
- The change required: Allow https://cdn.cloud.talend.com
- Traffic Type: Client-side only
- The URL is fetched by the user's web browser.
- No changes are required for backend connectivity (Remote Engines and Clusters).
For all the required allowlist URLs, see Adding URLs to your proxy and firewall allowlist.
A relevant support article is available at Qlik Talend Management Console Error loading: We couldn't load the application.
If you have questions about this change, contact your CSM (Customer Success Manager) or the Support team.
Thank you for choosing Qlik,
Qlik Support -
Conversational Analytics with Microsoft Teams Integration - Initial Setup - Part...
With the new Qlik Microsoft Teams app, you can easily chat with Insight Advisor, Qlik's intelligent AI assistant, to explore data using natural langua... Show MoreWith the new Qlik Microsoft Teams app, you can easily chat with Insight Advisor, Qlik's intelligent AI assistant, to explore data using natural language directly within MS Teams. Users can now ask questions through individual or group chat and Qlik will respond with AI-generated insights, using data from across your Qlik apps. And because it's Microsoft Teams, you can collaborate with others in real-time, collectively making decisions using the insights generated by Qlik. Insight Advisor within Teams provides a powerful new way to help more people find the right answers, make better decisions and collaborate together where and how they work. Check out part 1 of the 2 part series to see how to get started.
Can't see the video? YouTube blocked by your organization or region? Check it out here on the Qlik site.
