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Recent Discussions

  • forum

    Talend Cloud

    Upgrade Talend jobs to higher jar version without re-doing the "Publish to Cloud...

    Is there a way in Talend Cloud to upgrade a jar file version for Talend jobs without re-doing the "Publish to Cloud" from the Studio?FYI, the current ... Show More

    Is there a way in Talend Cloud to upgrade a jar file version for Talend jobs without re-doing the "Publish to Cloud" from the Studio?
    FYI, the current approach is 
        1. In Studio Modules, upgrade the jar file to higher version. e.g. log4j 2.17.1 to 2.25.4
        2. "Publish to Cloud" for all active production jobs
        3. Promote all jobs to production
    When there have dozens or hundreds active production jobs, there should be a better way than re-promoting all jobs to production (release) due to upgrading a single jar file version. 

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  • forum

    App Development

    Selection fied's values when changing Sheet

    Français--------------------------------------------------------------------------Bonjour,ContexteJ'ai deux tables différentes (AGENT = TELJ... et PIL... Show More

    Français

    --------------------------------------------------------------------------

    Bonjour,

    Contexte

    J'ai deux tables différentes (AGENT = TELJ... et PILOTE = TPIJ...). Je produis une analyse pour les agents dans une feuille qlik et une analyse pour les pilotes dans une autre. Dans les deux feuilles, j'ai un filtre sur le Pole (TELJ_POLE et TPIJ_POLE). Ce que je souhaite, c'est que lorsque dans l'une des feuilles je filtre sur un ou plusieurs pôles, au changement de feuille, les valeurs se sélectionnent dans l'autre filtre.

    Ce que j'ai testé

    1. Appliquer l'action 'Sélectionner des valeurs dans un champ' avec la valeur :

    Concat(DISTINCT TELJ_POLE, ';')

    Cette solution fonctionne bien lorsque je sélectionne un / des pôles. Cependant, lorsque je ne sélectionne pas de Pole et que je change de feuille, toutes les valeurs se sélectionnent.

    2. Appliquer l'action 'Sélectionner des valeurs correspondant aux critères de recherche' mais je ne trouve pas de critère. Les Pôles sont du texte avec des valeurs complètement hétérogènes.

    Auriez-vous une solution à m'apporter ?

     

    English

    --------------------------------------------------------------------------

    Hello,

    Context

    I have two different tables (AGENT = TELJ... and PILOTE = TPIJ...). I create an analysis for agents in one Qlik sheet and an analysis for pilots in another. In both sheets, I have a filter on the Pole (TELJ_POLE and TPIJ_POLE). What I want is that when I filter on one or more poles in one sheet, when switching to the other sheet, the values get selected in the other filter.

    What I tried

    1. Applying the action 'Select values in a field' with the value:

    Concat(DISTINCT TELJ_POLE, ';')


    This solution is working when i select one or multiple Pole. However, when I don’t select a Pole and switch sheets, all the values get selected.

    2. Applying the action 'Select values matching search criteria' but I can’t find a criterion. The Poles are text with completely heterogeneous values.

    Would you have a solution to suggest?

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  • forum

    Connectivity & Data Prep

    Qlik Cloud Salesforce Connector: OAuth 2.0 Authentication Issues with PKCE

    Hi everyone,We are experiencing an OAuth 2.0 authentication issue when trying to connect Qlik Cloud Analytics to Salesforce using the Salesforce conne... Show More


    Hi everyone,

    We are experiencing an OAuth 2.0 authentication issue when trying to connect Qlik Cloud Analytics to Salesforce using the Salesforce connector from Add Data.

    A new Salesforce External Client App was created following Salesforce's recent security changes.

    According to Salesforce's updated security requirements, PKCE is mandatory for newly created applications, and the option to disable it is locked.

    However, the Qlik documentation instructs us to disable PKCE as part of the connection setup.

    We attempted to configure the Salesforce Callback URL using both:

    https://connector.qlik.com/auth/oauth/v2.htm

    https://connector.qlik.com/auth/oauth/v3.htm

    Both attempts failed during authentication, resulting in the following errors:

    redirect_uri_mismatch

    OAUTH_APPROVAL_ERROR_GENERIC

    We would appreciate hearing from anyone who has encountered a similar issue or has successfully established a Salesforce OAuth 2.0 connection in Qlik Cloud Analytics under the new PKCE requirements.

    Thanks in advance for sharing your experience!

     

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  • forum

    Qlik Automate

    Automating Consumption Report Export to Azure Blob Storage

    Hello team,I am looking to automate our consumption report export and would like to know if the following workflow is possible:- Generate and save CSV... Show More

    Hello team,

    I am looking to automate our consumption report export and would like to know if the following workflow is possible:

    - Generate and save CSV files to Azure Blob Storage using Qlik Application Automation
    - Ingest the data into Snowflake and visualize it in Qlik Sense or Excel

    Could you please confirm if this process is feasible? If so, any documentation or guides would be greatly appreciated.

    Best Regards.

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  • forum

    Administering and Monitoring

    TAC notification emails are not received when Include log files is enabled

    Hi ,I configured a notification in Talend Administration Center (TAC) with the category Tasks and the event On task failed.The notification email is r... Show More

    Hi ,

    I configured a notification in Talend Administration Center (TAC) with the category Tasks and the event On task failed.

    The notification email is received correctly when Include log files is disabled. However, when I enable this option, the email is no longer received.

    In the configuration shown in the attached screenshot, Compress in a single file is also enabled.

    What could cause this behavior? Are there any additional settings or permissions required to attach the execution logs? Which TAC logs should I check to investigate the issue?
    Or how can I include the task’s error message in the notification email?

    lguevara_0-1793215189877.png

     

     

    Thanks,

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  • forum

    Put Agentic AI to Work

    Trusted Data, Shared Meaning: The Power of Data Products with Semantic Models

      Agentic AI Series · Part 4 Trusted Data, Shared Meaning: The Power of Data Products with Semantic Models You've already invested in your data, anal... Show More
     
    Agentic AI Series · Part 4

    Trusted Data, Shared Meaning: The Power of Data Products with Semantic Models

    You've already invested in your data, analytics, and business logic. How can you get more out of that investment as you explore agentic AI?

    As organizations explore agentic AI, one thing is becoming clear: AI needs more than access to accurate data. It also needs the business context to understand what that data means.

    Throughout this blog series, we've looked at how your Qlik investment can help you put agentic AI to work. You can ask questions about your data, bring Qlik intelligence into the AI assistants you already use, and have agents watch for meaningful changes and help look ahead.

    But behind these experiences is an important foundation: trusted data that can be reused, along with the business meaning that makes it useful. That's where Qlik Data Products and semantic models come together.

     

    Turn the data you already trust into a data product

    Qlik Data Products organize data into governed, reusable assets that support different analytics and AI use cases.

    They make data easier to discover and reuse, with information that helps you understand its origin, ownership, and governance. And you don't have to start over to create one. You can build on the trusted data you already work with in Qlik, as well as data in platforms such as Snowflake and Databricks.

    Instead of preparing the same data for every new use case, you can make trusted data easier to find, access, and reuse.

    But making data reusable is only part of the story.

     

    Add shared meaning and context with semantic models

    Trusted data tells you what happened. Business context helps you understand what it means.

    Consider a simple question:

    “Why did margin fall in the Northeast last month?”

    Two applications might use the same accurate data but return different answers because they calculate margin differently. One might include discounts or shipping costs, while another doesn't.

    Now imagine AI agents using that data across different business processes. Without consistent definitions, those differences can lead to conflicting answers and decisions.

    That's why we've introduced Semantic Models in Qlik Data Products.

    Semantic models let you add business meaning directly to your Qlik Data Product. You can define measures, dimensions and relationships, and connect business terms such as “sales,” “margin,” and “customer” directly to your organization's business glossary. This means your data products can provide more than trusted data. They can also carry the context needed to understand and interpret that data consistently.

    For your teams, that can mean less time reconciling different definitions, more confidence in the metrics they use, and a clearer starting point for building new analytics and AI experiences.

    Data products make trusted data reusable. Semantic models make the business meaning behind that data reusable, too.

    Together, they help you extend the value of your data beyond individual applications and use cases.

    And you don't have to recreate all your existing business logic from scratch. With the new public preview capability, you can extract a data product directly from an existing application. The resulting data product includes the application's data and a semantic model of its relationships, dimensions, and measures. Read the public preview post to learn more on how to enable the capability and get started.

    VIDEO: https://videos.qlik.com/watch/FZD6LqhLT77sgWeLbKzh7P  

     

    Build on this foundation for agentic AI

    As AI becomes more embedded in everyday business processes, trusted data and consistent business meaning become even more important.

    Qlik Answers

    Helps you ask questions about your data.

    Qlik MCP Server

    Makes Qlik data and intelligence available to AI assistants and agents.

    Discovery Agent

    Can watch for meaningful changes.

    Predict Agent

    Helps you look ahead.

    Each serves a different use case, but all depend on trusted data. Data Products are designed to work across these experiences, so you prepare the data once and build from there.

    Qlik Data Products and semantic models extend into Qlik Answers and AI agents connecting through Qlik MCP Server, so the shared business definitions and context you build in a data product reach your AI workflows to interpret your data more consistently. You'll also be able to use AI to help build and maintain your data products, semantic models, and business glossary as your data evolves.

     

    Ready to start?

    Create your first Data Product. Start with data you already trust, then use a semantic model to define what it means to your business. From there, explore how you can put it to work with an AI agent.

    Have an existing analytics application? Try the new extraction capability in Public Preview to build on the data and logic you already have.

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  • forum

    Data Movement & Streaming

    Difference between Views & Tables in Load Editor

    Hello everyone,my department and I are currently bulding a new BI-Department.At the moment I'm loading the TABLES from SF into Qlik. But I also have u... Show More

    Hello everyone,

    my department and I are currently bulding a new BI-Department.

    At the moment I'm loading the TABLES from SF into Qlik. But I also have usecases where I have to concatenate several Tables.

    One Engineer pointed out to my, why we're not using the views. So I tried to find usecased where people are using views and where the tables.

    Unfortunately we have nobody in our team who is experienced in this kind of topic.

    Is here anyone who can help me?

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  • forum

    Integration, Extension & APIs

    Qlik Code for VS Code: A Walkthrough of (almost) Every Feature

    Hi everyone,I just published a new Data Voyagers video on Qlik Code, the Visual Studio Code extension that lets you edit Qlik Cloud load scripts in VS... Show More

    Hi everyone,

    I just published a new Data Voyagers video on Qlik Code, the Visual Studio Code extension that lets you edit Qlik Cloud load scripts in VS Code instead of the Data load editor.

    I wanted to cover the whole thing in one place, so the video goes through each feature in order. Once you sign in to your tenant, you can browse spaces, apps, and scripts, then view, edit, and sync load scripts using direct or local editing. The editor supports the Qlik script language with syntax highlighting, completions, hover help, and diagnostics. You can also insert script content to load files from the data catalog or a data connection, or pull in existing script assets like QVS files. When you are ready to test, you can reload the app, preview your data, look at the data model, and open the app in Qlik Cloud from your browser.

    A few limits from the documentation are worth knowing. Qlik Code is aimed at developers who already work in Qlik Cloud, and it does not replace the activity centers, so tasks like managing spaces, sheets, and app permissions stay there.

    Watch the video here: https://youtu.be/8omcueKfuQ8

    Documentation: https://help.qlik.com/en-US/cloud-services/Subsystems/Hub/Content/Sense_Hub/QlikCode/code-extension-home.htm

    I would like to hear how this fits your workflow. Are you already writing scripts in VS Code, or still in the Data load editor? Which feature would you use first, and what is missing for you? Tell me in the comments.

     

    Regards,

    Mark Costa

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  • forum

    Administering and Monitoring

    Email column is empty in the TAC notification recipient selection

    Hi everyone,When configuring a notification in Talend Administration Center (TAC), the Mails selection dialog displays users’ email addresses in the L... Show More

    Hi everyone,

    When configuring a notification in Talend Administration Center (TAC), the Mails selection dialog displays users’ email addresses in the Login column, but the Email column is empty, as shown in the attached screenshot.

    When creating a user in TAC, I enter the email address in the Login field. However, the user creation form does not show a separate Email field.

    Is this expected behavior? Should TAC also display the login email address in the Email column, or is there another setting required to populate it?

    How does TAC determine which email address to use when sending notifications to the selected users?

    Thanks

    lguevara_0-1793194066164.pnglguevara_1-1793194086772.png

     

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  • forum

    Public Previews

    Start from what you already built: extract a data product from an application (P...

    Your analytics applications already hold years of business logic. Now, you can reuse that work by extracting a data product from an existing applicati... Show More

    Your analytics applications already hold years of business logic. Now, you can reuse that work by extracting a data product from an existing application, making it governed, reusable, and discoverable.

     

    What it is

    Extract data product from application creates a new data product from an analytics application you’ve already built. The data product includes both the application’s data and a semantic model of its relationships, dimensions, and measures.

     

    Why try it?

    The business logic you’ve already built can now do more. Extraction brings your application’s relationships, dimensions, and measures into a governed data product, giving them a shared, reusable home. This lets you use existing work, rather than recreate it manually.

     

    Get started

    Start with an existing application.

    1. Open the application details or use the application’s contextual menu in the catalog.
    2. Select “Manage > Extract and create data product”.
    3. Name the data product, choose a space, and extract.
    4. Review the log to see what was extracted.
    5. Open the new data product and check its semantic model.

    OlivierDubois_0-1793195346376.png

     

    Your original application stays as it is, and you can keep using it.

    To extract, the application must be in a personal or shared space, and you need the “Can edit data in applications” permission. Extraction runs a script that creates new datasets as data files in Qlik Cloud, so consider the size of your application first.

     

    For the full steps, see Qlik Help | Extracting data products from analytics applications.

    To learn more about semantic models, see Qlik Help | Semantic models in data products.

     

    What to know before you try it

    This capability is in Public Preview, and there are a few limitations to keep in mind:

    • Applications that use section access are not supported.
    • Applications in managed spaces are not supported. Move or copy the application to a shared or personal space first.
    • Extraction doesn’t carry over cyclic and drill-down dimensions.

     

    How to enable the preview

    Feature previews must first be enabled for your tenant, and your tenant admin needs to grant you access via the “Feature preview” permission. If you don’t see Feature previews in your profile, check with your tenant admin, as described in Managing feature preview for your tenant.

    Once you have access, go to your “User profile > Feature previews” and activate the “Extract data product from application” preview feature. See Feature previews for details on how the program works.

     

    Share your feedback

    Use the in-product feedback button, either in the Feature previews dialog or when clicking on the “Preview” badge available in the “Extract to new data product” dialog.

    We’re especially curious about:

    • How does the extraction flow work for you, and did you expect something different?
    • How does extraction behave on larger or more complex applications?
    • What did you expect to find in the data product that wasn’t there?

    OlivierDubois_1-1793195346378.png

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