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This blog was created for professors and students using Qlik within academia.
Hear it from your Community Managers! The Community News blog provides updates about the Qlik Community Platform and other news and important announcements.
The Qlik Digest is your essential monthly low-down of the need-to-know product updates, events, and resources from Qlik.
The Qlik Learning blog offers information about the latest updates to our courses and programs, as well as insights from the Qlik Learning team.
多くの方にご参加いただき、盛況のうちに終了した「AI Reality Tour Tokyo 2026]では、Qlik による基調講演やテクノロジー講演、Qlik のユーザーが語る先進的な事例、Qlik のパートナー企業による最新のソリューションなど、企業の AI 戦略を成功に導く最新情報をご紹介しました。
当日の Qlik の基調講演とテクノロジー講演をオンデマンドでご視聴いただけます。予測 AI / 生成 AI / エージェンティック AI を統合した Qlik の最新製品をご紹介します。
※本 Web セミナーは、2026年 6月 10日(水)開催の「AI Reality Tour Tokyo 2026」 における Qlik 講演を録画したものです。
※視聴無料。パソコン・タブレット・スマートフォンで、どこからでもご視聴いただけます。
| 講演概要 | |
| Qlik 基調講演(同時通訳) エンタープライズ AI の現実 / 製品デモ:実証から実行へ |
Qlik が描く AI とデータ活用のビジョン、信頼できるデータ基盤によってAI の精度・連携性・拡張性を高める取り組みを解説します。AI アーキテクチャの中核として、エージェンティック AI や意思決定を支えるデータ基盤の役割と最新イノベーションを紹介します。 |
| テクノロジー講演 - データ分析 | 生成 AI の進化に伴い、Qlik が目指す 分析 と AI の全体像を紹介するとともに、信頼できるデータ基盤やAIによる意思決定支援の考え方を解説します。さらに、Qlik Answers® や Qlik MCP Server のアーキテクチャと実装、生成 AI との安全な連携をデモを交えてご紹介します。 |
| テクノロジー講演 - データ統合 | AI 活用を支える信頼性の高いデータ基盤の構築手法を解説します。Qlik Talend Cloud® による AI 活用型データパイプライン、自動最適化や多様なデータ連携、データ品質向上、Iceberg を活用したデータ共有まで、AI-ready なデータ基盤の実現方法をデモを交えてご紹介します。 |
本 Web セミナーシリーズは、最新のデータ活用と分析の知識を身につけられるオンデマンドの Web セミナーです。6 週間にわたり、毎週 1 本ずつ新しい Web セミナーを公開していきます。
Qlik の年次グローバルカンファレンス「Qlik Connect」において、特に人気を集めたプレゼンテーションを厳選。データ主導文化 / Qlik Answers / 予測 AI / MCP / ガバナンス / 最先端のデータパイプラインなど、インサイトを行動につなげる実践的なアイデアや事例を徹底解説します。
※本 Web セミナーは、AI による日本語字幕付きでお届けします。
今すぐ視聴する
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トピック |
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1 週目 |
データ主導型企業の 7 つの習慣 |
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データ統合 |
データ分析 |
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2 週目 |
AI 時代の DataOps:AI を活用した Qlik Talend Cloud® パイプライン構築のコード化 |
今すぐ始めるエージェンティック AI:Qlik Answers® のエージェントで生産性を最適化 |
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3 週目 |
Qlik Talend Cloud® の新機能と活用例 |
MCP サーバーで Qlik の機能を拡張 |
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4 週目 |
Iceberg の活用例:Qlik Talend Cloud® でレイクハウスを構築 |
不測の事態に対応:Qlik Discovery Agent で重要な変化を瞬時に把握 |
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5 週目 |
AI 搭載の自律型データ振り分けでリアルタイムエンタープライズを実現 |
予測 AI でデータ分析を加速 |
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6 週目 |
エージェントの未来:データ品質とガバナンスの自律化、分析 / AI 向けの ELT を容易に実現 |
AI 主導型企業向けの信頼できるデータ基盤の構築 |
At the beginning of 2026, the Qlik Reporting Service expanded its offering with support for Microsoft Word and Microsoft PowerPoint report capabilities. For the duration of the first half of the year, these report formats have been executing in an unmetered state.
As of August 1st, 2026, these report formats will be metered. Customers using Word and PowerPoint reports will notice an increase in the report execution metrics.
If you are a customer making use of these report formats, you should review your consumption and ensure that your Qlik Reporting Service quota is adequate for your aggregate report consumption at this time.
Thank you for choosing Qlik,
Qlik Support
Qlik constantly refines its Analytics, over time replacing old charts with new, modernized alternatives. These deprecations are announced well in advance and come with instructions on how to best replace these old charts, whether that is to use a new one, several new ones, or make use of new settings.
This blog post covers the deprecation of charts in May 2027 and offers you guidance on how to replace them.
The following seven visualization bundle charts are up for deprecation in May 2027. Most have already been removed from the asset panel and are no longer a part of recent applications.
Since these are old charts, most are no longer in use. If you happen to still have a very old application and need to replace deprecated charts, see Visualization bundle > Deprecated charts for more information on what to use instead.
Qlik recommends reviewing your apps for old charts. Depending on your platform (Qlik Cloud or Client-managed), there are different methods you can deploy.
Qlik Cloud administrators should use the Qlik Cloud Monitoring Apps to track the usage. The App Analyzer has a sheet dedicated to where deprecated charts are being used on a tenant in Qlik Cloud. The App Analyzer is based on usage events rather than scanning every app. Use the App Analyzer to find which apps and sheets have charts that need to be updated to newer and more modern alternatives. The easiest way to install and update the Qlik Cloud Monitoring Apps is to use the automation template. If you already have the App Analyzer, just remove the automation and install a new one to get the latest version of the App Analyzer.
For client-managed installations, use the Content Monitor app, included in every Qlik Sense Enterprise on Windows installation beginning with the May 2026 release.
The Content Monitor has a sheet for tracking deprecated charts. At reload, the Content Monitor app scans every app in the installation to list all applications and sheets that are using charts that are being deprecated. It also lists the installed extensions and their deprecation status.
If you want to track usage in prior versions, download the Qlik Sense Content Monitor from the Qlik download page. It comes bundled with the required Object Scanner.
Thank you for choosing Qlik,
Qlik Support
Every year, thousands of students ask the same question: is data analytics still a good career bet? The 2026 numbers say yes. In Data Analyst Job Outlook 2026, 365 Data Science analyzed over 1,000 real job postings to map what employers actually want from data analysts today. The report adds a wider signal, citing a US Bureau of Labor Statistics projection of 23% job growth by 2032.
The research highlights four trends shaping the data analyst career in 2026:
Across all four, one theme repeats: the market rewards professionals who combine hands-on analytics skills with the ability to explain, question, and communicate data. That is data literacy, and it's exactly what the Qlik Academic Program helps universities build.
The program gives students free access to the full Qlik stack, from data integration and Qlik Cloud Analytics to Qlik Answers and agents, alongside courses, qualifications, and certifications. Students don't just read about visualization and AI-assisted analytics; they build dashboards, integrate real data, and learn how AI-driven decisions are made. Those are precisely the skills leading the 2026 hiring data.
Professors are supported too, with training and ready-to-use teaching resources that make it easier to bring analytics into the classroom, so curricula keep pace with a job market that is evolving faster than any syllabus revision cycle.
The report's conclusion is encouraging: the field isn't oversaturated for those with the right combination of skills. For students, the best time to start building that combination is before graduation, with real tools, real data, and credentials employers recognize.
By giving students, professors, and universities free access to analytics software, learning content, and certifications, the Qlik Academic Program helps learners graduate ready for a career field that the data shows is still growing.
Join our global community for free: Qlik Academic Program: Creating a Data-Literate World
To all Talend customers,
This is an advance notice that, to enhance both your security and experience, Java 21 will be required to launch Talend Studio starting with the 2026-06 release.
This change only concerns the Talend Studio desktop application. It has no impact on the Jobs and Services you build with it, which will continue being compliant with Java 17 runtime environments (and Java 8 for Big Data Jobs).
Along with this change, the June release will come with many additions from a Java version perspective:
For further questions, please start a chat with us to contact Qlik Support and subscribe to the Support Blog for future updates.
Thank you for choosing Qlik,
Qlik Support
In April this year, REVA University, Bangalore inaugurated a Centre of Excellence in Analytics and AI supported by the Qlik Academic Program. The inauguration was a successful event with dignitaries from the University and officials from ICT Academy present.
REVA University is ranked 6th among State Private Universities in Karnataka and 47th in India (Source reva.edu.in)
Following the inauguration, REVA signed up students from its departments including Computer Science Engineering, AIML, AIDS, CSSE, ISE, IOT and CSIT.
There was a good amount of coordination between all departments due to the establishment of the CoE which also ensured structured training for students. One of the key benefit of the CoE is to have a physical space for coordinated training of the Qlik Academic Program courses.
Students were able to complete the training and appear for the exams offered under the academic program portal in a time bound manner. Almost all students completed the Qlik Sense Business Analyst Qualification successfully and few of them also completed the Qlik Sense Data Architect Qualification and the Data Literacy Qualification. The total qualifications gained by students were more than 1000 which is a commendable achievement considering the limited time span.
The number of students getting "Qlik ready" is a big plus for the Qlik ecosystem including its customers and partners and also students will get an edge in the job market where Analytics and AI skills are lacking.
To know how you can make your students career ready with analytics and AI skills, visit qlik.com/academicprogram to know more and register to access world class training and qualifications.
Qlik Answers was built to do real analytical work: investigate root causes, reason across dimensions and time, and explain not just what happened but why. That depth is what our customers value most, and it isn't going anywhere.
But not every question needs an analyst. Sometimes you only need a number. What was the revenue last month? Top 10 products by margin? Open orders in EMEA right now? These are lookups, not investigations, and they deserve their own gear.
On the 7th of June 2026, Qlik added one: Fast Mode is now live in Qlik Answers, providing one assistant with the effort matched to the question. To read more about the release, see What's new in Qlik Cloud.
Fast Mode gives you near-instant answers to simple questions on your structured data, so quick checks feel as natural as glancing at a KPI. Thinking Mode remains your deep analyst for everything else, with all the reasoning power you rely on today.
Together, they work the way a great analyst does. Ask what sales were last month, and you get the number immediately. Ask why sales dropped in the North region, and the assistant rolls up its sleeves and does the work properly. Same assistant, same governed data, two gears.
Plenty of AI tools can answer quickly. The question is whether you can trust what comes back.
Fast Mode is grounded in your app's governed semantics from the first query: master measures, master dimensions, your calendar logic, and your section access. When Fast Mode says "sales," it means sales exactly as your organization defines them, rather than AI math or a plausible-looking guess. You will get the same governed definitions your dashboards run on, at conversational speed.
And when a question deserves more than a fast answer, Fast Mode won't pretend otherwise. It tells you the question calls for deeper analysis and offers a one-click "Think harder" that hands the same question, full context intact, to Thinking Mode.
No need for rephrasing or starting over.
Fast Mode is currently available for structured data: questions answered from your apps, master measures, and master dimensions.
The rest of what makes Qlik Answers powerful stays with Thinking Mode. Questions over unstructured content like documents and knowledge bases, answers that blend structured and unstructured sources, and requests that trigger automations all need real reasoning, and Thinking Mode is built for exactly that.
That's a deliberate split: fast lookups where speed matters, full reasoning where the work demands it.
We know where the appetite goes from here, and we're watching how you use both modes closely. For now, if your question touches documents or kicks off an automation, Thinking Mode has you covered.
A simple rule: if a colleague could answer from memory using your apps, use Fast Mode. If they'd need to open the app, read the documents, or take action, that's a job for Thinking Mode.
Fast Mode: "What was revenue last quarter?" "Top 5 regions by margin." "Open orders in EMEA right now?"
Thinking Mode: "Why did margin compress in Q2?" "What does our returns policy say, and how many orders does it affect?" "Flag these accounts and notify the owners."
Pick wrong? One click fixes it.
Try it today! Fast Mode is available now in Qlik Answers. Ask the question on your mind and see how fast a trusted answer can be. Then ask a hard one, hit "Think harder," and watch the assistant do what it does best.
Thank you for choosing Qlik,
Qlik Support
Qlik Data Gateway - Direct Access version 1.6.x will be officially End of Life (EOL) on September 30, 2026.
Version 1.6 was initially released in December 2023 and reached End of Support on June 14, 2025. It is now confirmed for End of Life on September 30, 2026. Upgrade to a supported version as soon as possible.
Once version 1.6.x reaches End of Life, Direct Access Gateway instances still running 1.6.x after September 30 may lose connection to Qlik Cloud, disrupting data loads and any workloads that depend on it.
Upgrade to the latest available version of Qlik Data Gateway – Direct Access (currently 1.7.x, with 1.7.16 expected soon) before the End of Life date for 1.6.x. The new versions bring:
• A redesigned gateway configuration UI, making setup and troubleshooting easier
• Ongoing security fixes and cloud-side compatibility, which are not backported to older versions
• Ongoing performance and reliability improvements
From version 1.6.6 onward, .NET 8.x is required. This is installed automatically as part of the upgrade process, so no manual action is required.
The upgrade path from 1.6.x to the latest 1.7.x release has been tested and is expected to run smoothly. As always, please review the upgrade steps carefully and take a backup before upgrading.
Upgrading Qlik Data Gateway - Direct Access walks through the upgrade procedure and lists the significant changes introduced in each release.
Configuring and troubleshooting Qlik Data Gateway - Direct Access covers configuration options introduced in later versions that may apply to your deployment. Most gateway settings can also be managed directly in the Qlik Cloud Administration activity center (from v1.7.2).
We recommend always running the latest available version of the Direct Access Gateway. Cloud-side fixes are deployed on a near-weekly basis, and these most often do not apply to older gateway versions — so staying current is the best way to avoid running into avoidable issues.
If you have questions or need assistance planning your upgrade, our forums are open to you, and Support is only a chat away.
Thank you for choosing Qlik,
Qlik Support
Dear Qlik Customers,
In April 2026, SAP published a series of updates that will restrict your ability to extract certain SAP data using Qlik products. We are writing to explain what is changing, what it means for your Qlik integration, what you can do next, and how Qlik is responding.
SAP has recently updated SAP Note 3255746 and its API Policy, which together prevent customers from using the ODP-RFC interface to perform bulk data extractions to non-SAP systems. Here is what you need to know.
The CDC connectivity via ODP will be at most risk by the implementation of the June 9th SAP security update, as it will be blocked. The main products affected are:
Other impacted products that also offer ODP functionality are:
The following Qlik Products do not use the ODP-RFC interface and therefore will not be impacted by the June SAP Security update:
You should be in control of your business-critical data, wherever it creates value. Without interoperable architectures, SAP customers like you face higher costs, performance issues, and less freedom to choose, including loss of flexibility in implementing AI.
Qlik already supports alternatives to ODP and is actively developing additional migration paths and solutions to preserve your flexibility through this transition and beyond. We will continue to work on viable alternatives to our ODP endpoints and help you navigate this change on your terms, not SAP's. To learn more about how Qlik can support your specific environment, please reach out to your Qlik representative.
This communication reflects Qlik's current interpretation of SAP's restrictions, which are outside our control and subject to change. Customers should consult SAP's official communications and seek independent guidance on operational and legal impact. Roadmap statements are forward-looking and not commitments; disruptions arising from SAP's decisions do not constitute a defect in Qlik's products or services.
In this blog post, I will cover three new features in Qlik Cloud:
These are small features, but useful improvements that can be used when building your analytics apps.
Subtotals in the Straight Table
The first is the ability to add a subtotal row to a straight table. This is something we are used to seeing in a pivot table but not a straight table. Developers can now toggle on Show subtotals in a dimension field of their straight table to add subtotal rows.
Once Show subtotals is toggled on, the Label property becomes available allowing the developer to rename the label. In the table, a subtotal row is added for each asset class.
Exit Error
The second new feature is Exit Error, which is used in the script to end the execution of the script with a user defined error message. The syntax as found in Qlik Help looks like this:
Exit Error expression [(when | unless condition)]
For example, assume you are loading data in a table, and you want to exit the script execution if no data has been loaded. Using Exit Error, a variable can be checked (or some other condition) to determine if there are rows in a table that was previously loaded. If there are, continue with the script; if not, exit the script with a message. In this example, the vOpenOrders variable will be 0 if there are no rows in the table.
If the variable vOpenOrders is equal to 0, then exit the script and show the message “No open orders were loaded.” This is how the error will appear.
Creating Text and Image Objects from Pasted Images
The last new feature is a cool shortcut to create a text object or an image object. Simply paste text or an image onto an empty area on a sheet and a new text object or image object will be created. In the case of images, the pasted image will be automatically saved to the media library – a time saver. On the sheet below, I pasted this text: “I am going to create an image with this text.” and this image:
And a text object and image object were created without any additional work from me.
Note that the developer will need upload permissions for the image to be added to the media library.
That's three new ways Qlik Cloud is making app development easier — smarter subtotals, cleaner error handling, and a slick shortcut for pasted content. Small features, big time savings. Try them out in your next app and stay tuned for more updates coming soon.
Thanks,
Jennell
Effective September 1, 2026, Strava will deprecate three Club endpoints: Club Activities, Club Administrators, and Club Members. Strava has stated that the small number of developers using these endpoints does not support their continued maintenance.
As a result, the ClubActivities and ClubMembers tables in the Qlik Strava connector will no longer return data after this date and will be deprecated.
The following Qlik products and their related Strave connectors are affected:
This change originates with Strava, not Qlik. Strava is deprecating these endpoints at the API level, so any application relying on them, including the Qlik Strava connector, is affected.
Review your Qlik apps, scripts, and automations for any use of the ClubActivities or ClubMembers tables in the Strava connector. If you rely on this data, plan to remove or replace these data sources ahead of September 1, 2026, as they will stop returning data once Strava's deprecation takes effect.
No action is needed if you don't use these tables.
Any loads or automations using the ClubActivities or ClubMembers tables will stop returning data after September 1, 2026.
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
For two decades, the job of a data engineer was deceptively simple to describe: move data from system A to system B so that someone downstream could analyze it. That era is ending. As agentic AI moves out of the lab and into core operations, a new and far more demanding consumer has arrived at the table — the autonomous agent. And agents are unforgiving about the data they are fed.
Welcome to agentic data engineering: the practice of both using and building agentic AI capabilities to deliver trusted data for AI workloads. It marks a shift from building pipelines by hand to orchestrating self-sustaining systems — and it changes what the modern data team is measured on.