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Recent Blog Posts
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Techspert Talks - Advanced Qlik Sense System Monitoring
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 ins... 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.Thursday, February 27 Qlik will host another Techspert Talks session and this time we are looking at Advanced Qlik Sense System Monitoring.
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:
- What performance metrics can be measured
- How to setup the Zabbix tool
- Integration and extendibility
Choose the webinar time that's best for you.
The webinar is hosted using ON24 in English and will last 30 minutes plus time for Q&A.
Hope to see you there!! -
Introducing ‘Custom Groups’ to Qlik Cloud Analytics!
Managing users and groups just got easier. With our new Custom Groups capability, you now have more flexibility and control to handle user and group r... Show MoreManaging users and groups just got easier. With our new Custom Groups capability, you now have more flexibility and control to handle user and group relationships directly in Qlik Cloud, without needing to rely on an Identity Provider (IdP).
Video: Introducing ‘Custom Groups’ to Qlik Cloud Analytics
What’s New?
- Manage directly in Qlik Cloud
No more back and forth with external systems. Now, you can manage users and their group memberships directly in Qlik Cloud. Everything is in one place for easy access control.
- Create smoother group-based provisioning
Assign users to groups in just a few clicks. Control both administrative access and feature permissions without hassle.
- Made for your organization
Custom Groups adapts to your unique structure, making access management easier and more aligned with the way your organization works.
Use cases:
- Public Sector flexibility
Manage group memberships within Qlik Cloud and simplify integrations with third-party apps, without depending on IdP-provided groups.
- Enterprise autonomy
Gain full control over user and group assignments, without being tied to Active Directory or other IdP systems. Adapt faster to changing needs.
Key Benefits:
- More control over user roles and permissions
- Less dependence on external systems
- Better fit for your organization's needs
Custom Groups makes managing access in Qlik Cloud simple and efficient, no matter the size or type of your organization. It saves you time, reduces complexity, and gives you full control over how users and groups are managed.
Learn more here:
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Another ValueList Use Case
Several years ago, I blogged about how creating a synthetic dimension using ValueList allowed us to color dimensions in a chart. ValueList is commonly... Show MoreSeveral years ago, I blogged about how creating a synthetic dimension using ValueList allowed us to color dimensions in a chart. ValueList is commonly used where there is not a dimension in the data model to use, thus creating a synthetic one with ValueList. You can read more about ValueList in myprevious blog post. In this blog post, I am going to share how I used ValueList to handle omitted dimension values in a chart.
I recently ran into a scenario when creating visualizations based on survey data. In the survey, the participant was asked for their age as well as their age group. The ages were grouped into the following buckets:
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-69
- 70+
Once I loaded the data, I realized that there were not participants for all the age groups, so my chart looked like the bar chart below. There was a bar and value for only the age groups that the participants fit in.
While I could leave the chart like this, I wanted to show all the age group buckets in the chart so that it was evident that there were no participants (0%) in the other age group buckets. In this example, the four age groups were consecutive, so it did not look odd to leave the chart as is but imagine if there were no participants in the 45-54 age bucket. The chart may look odd with the gap between 44 and 55.
I explored various ways to handle this. One way was to add rows to the respective table for the missing age group. This worked fine but I was not a fan of adding rows to the survey table that were not related to a specific participant. The option that I settled on was using ValueList to add the omitted age groups. While this option works well, it can lead to lengthy expressions for the measures. In this example, there were only seven age group buckets so it was manageable but if you had many dimensions values then it may not be the best option.
To update the bar chart using ValueList, I changed the dimension from
To
Then I changed the measure from
To
Using ValueList in the dimension created a synthetic dimension with each age group option that was included in the survey. Now I will see all the age buckets in the chart even if there were no participants that fell in the age group bucket. Since I am using ValueList for the dimension, I need to update the measure to use it as well. This is where a single line measure can become a lengthier measure because I need to create a measure for every value in the synthetic dimension, thus the nested if statement above. The result looks like this:
There are no gaps in the age buckets, and we can see all the age bucket options that were presented in the survey. I prefer this chart over the first bar chart I shared because I have a better understanding of the survey responses presented to the participants as well as the response they provided. I would be interested in hearing how others have handled similar scenarios.
Thanks,
Jennell
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Qlik Talend Cloud Packaging and Pricing - A primer
Packaging: Qlik Talend Cloud brings together Qlik and Talend’s best of breed capabilities related to Data Integration, Quality and Governance into 4 ... Show MorePackaging: Qlik Talend Cloud brings together Qlik and Talend’s best of breed capabilities related to Data Integration, Quality and Governance into 4 simple use-case centric editions. These editions are designed to simplify the process of choosing the right solution and help customers focus on using the solution quickly to drive business results. With its broad range of best-in-class capabilities, Qlik Talend Cloud supports customer scenarios across every level of technical maturity; from ingestion of data in batches from SaaS applications into a cloud warehouse, to developing sophisticated data products with robust governance and everything in between. Depending on your business and technological needs at the moment, you can choose an edition today and smoothly transition to more advanced editions as needed over time without disruptions.
Pricing Model: A key facet of Qlik Talend Cloud’s development was the introduction of a usage capacity-based pricing model for all capabilities within the Qlik Talend Cloud portfolio. This pricing model enables organizations to more tightly align their investment in Qlik to the value that they realize in the solution. Capacity bands have been defined to provide a specific level of usage capacity for each edition. Customers can start with an initial capacity commitment and as they ramp up the use of the solution, flexibly add more capacity bands to meet their business needs. There also is a structured pricing incentive for higher levels of capacity commitment to support deployments at scale.
Pricing Metrics: To help customers plan their capacity commitment, Qlik Talend Cloud uses two simple types of capacity bands. One for Data movement and basic transformation, and another for more sophisticated data integration, quality needs. Lets look at them one by one.
Data Moved: This is a measure of total volume of data moved (in GB) in a given month.
- The Initial full data load of new tables or files is free and not counted towards the metric. Any changes to the data over time does accrue towards the metric.
- The data volume is calculated by multiplying the number of rows in dataset by the row size. Rose size is estimated by mapping data types to standardized Qlik Cloud data types and using default data sizes for each type. For a full list of default data sizes please refer to this documentation.
Job Executions: This is a measure of the total number of times each job (Artifact ID) is executed in a given month. (this metric is relevant for advanced data integration, quality needs)
- Batch job executions are counted upon successful conclusion in the given month
- Always-on job executions are counted once in each month that the job was running
Job Duration: This is a measure of total time taken (in hours) for executions of all jobs in a given month. (this metric is relevant for advanced data integration, quality needs)
- Batch job duration is counted upon successful conclusion in the given month
- For Always-on jobs, the actual duration is converted to a ‘chargeable duration’ using a progressive scale. Higher the number of always-on jobs, lower the effective chargeable duration.
Self-service usage Dashboards: In order to enable customers to analyze their usage, Qlik provides an intuitive and interactive self-service usage dashboard that provides granular insights into usage trends and underlying drivers. Customers frequently use this information for internal cost-allocation across different divisions or departments.
Estimating capacity needs: Please reach out to your Qlik account team who can work with you to understand the workload use inhouse capacity estimation tools to estimate your capacity needs for Data movement as well as Job executions and duration.
See below for a short video that summarizes the Qlik Talend Cloud packaging and pricing model. More details can be found on our pricing page here.
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Introducing Qlik Trust Score: Elevating Data Trustworthiness in Qlik Talend Clou...
In today’s data-driven world, trust in data isn’t just important—it’s essential. Organizations depend on high-quality data to drive informed decisions... Show MoreIn today’s data-driven world, trust in data isn’t just important—it’s essential. Organizations depend on high-quality data to drive informed decisions, fuel innovation, and maintain a competitive edge. But data quality isn’t one-size-fits-all. In customer service, a missing address might be acceptable if the primary contact method is valid. However, an incomplete or incorrect address can lead to payment failures and operational inefficiencies in billing and invoicing.
To evaluate trust in data, organizations need a metric-driven, objective measure that can be tuned to meet their specific definitions of data quality. A flexible and transparent approach ensures organizations can adapt trust assessments to their unique operational data quality needs.
Qlik Trust Score in Qlik Talend Cloud evaluates a dataset’s trustworthiness by aggregating various data quality dimensions. It provides a holistic view to help organizations identify gaps and prioritize improvements, with a numeric score (ranging from 0 to 5) for a quick assessment of dataset reliability.
Here are the key dimensions used to evaluate dataset trustworthiness, along with examples:
- Validity – Measures the proportion of values that conform to expected data types and formats. The expected data types and formats are obtained using built-in semantic types. For example, a valid email address must contain "@" and a domain.
- Completeness – Assesses the proportion of non-empty values within a dataset. For instance, missing primary contact information in a customer database could impact outreach efforts.
- Discoverability – Evaluates how well a dataset is documented and incorporated into operational workflows. This includes checking whether the dataset has meaningful tags and descriptions and whether it is included in an activated data product. For example, a sales dataset with appropriate tags, descriptions and included in an activated data product would score higher than an undocumented, siloed dataset. This is because an activated data product in the data marketplace that includes the dataset would enhance visibility and accessibility for data consumers, increasing overall value.
So, how can you improve dataset discoverability? One quick way is by adding clear descriptions. With generative AI-based dataset description capabilities in Qlik Talend Cloud, you can effortlessly generate precise dataset descriptions, making them easier to find and understand. - Usage – Measures dataset utilization across dependencies such as analytics apps, and the number of times assets using the dataset has been viewed. This dimension reflects the dataset’s true importance and its relevance to specific use-cases. For example, a financial dataset embedded in an executive dashboard and accessed frequently by decision-makers would score higher than an isolated dataset with little visibility.
By evaluating datasets across multiple dimensions, Qlik Trust Score provides organizations with a clear, actionable view of data quality and reliability. To optimize performance and flexibility, it supports two processing methods. Pushdown processing, available exclusively for Snowflake datasets, triggers quality computations directly within Snowflake. This approach ensures efficient, in-data warehouse processing without data movement. Meanwhile, pull-up processing, available for all datasets, enables quality computations within Qlik Talend Cloud, enabling broader data quality assessments without relying on external processing resources.
Key Benefits of Qlik Trust Score
- Customizable Weighting – Organizations can tailor the Qlik Trust Score to align with their specific data priorities. By adjusting the percentage weights of each dimension, teams can emphasize what matters most—such as validity for regulatory compliance or discoverability for analytics adoption. Non-mandatory metrics (such as usage or discoverability) can be disabled, ensuring the score accurately reflects business needs.
- Actionable Insights – Qlik Trust Score goes beyond a single number by offering detailed insights into data quality. Using the “Data Preview” tab, users can drill down at a column level, such as invalid values or missing metadata, to pinpoint issues quickly.
- Transparency & Collaboration – Trust in data improves when teams can see where the data is coming from and how fresh the data source is. Dataset lineage provides this information, fostering an open culture of transparency and collaboration across data and analytics teams. Dataset freshness let's you see when the data source was last updated.
Conclusion
Qlik Trust Score is more than just a metric—it’s a powerful tool for building confidence and enhancing data trust. With customizable scoring, organizations can tailor data quality dimensions to align with their data priorities, focusing on the factors that matter most.
Available in Qlik Talend Cloud Enterprise Edition, Qlik Trust Score delivers robust, reliable data quality insights. For more details, visit the Qlik Trust Score documentation.
- Validity – Measures the proportion of values that conform to expected data types and formats. The expected data types and formats are obtained using built-in semantic types. For example, a valid email address must contain "@" and a domain.
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Upgrade advisory for Qlik Sense on-premise November 2024: Required add-on upgrad...
Hello Qlik Admins and Developers, The next major Qlik Sense Enterprise on Windows release is scheduled for November 2024. The update will introduce ch... Show MoreHello Qlik Admins and Developers,
The next major Qlik Sense Enterprise on Windows release is scheduled for November 2024. The update will introduce changes that will have an impact on the following add-ons:
- Qlik Alerting (link)
- Qlik Sense Mobile client-managed (link)
- qlik-cli (link) Upgrade to v.2.25.0 or higher
- qlik/api (link) Upgrade to v1.12.0 or higher
- Qlik Sense .NET SDK (link) Upgrade to v16.8.0 or higher
The changes affecting the add-ons are:
- Extended CSRF protection to Websocket requests
- Adding support for CSRF to add-on products
New versions of all affected add-ons were made available before or in November of 2024.
Please plan your upgrade accordingly to prevent interruptions:
If you upgrade to Qlik Sense Enterprise on Windows November 2024, all listed add-ons must be upgraded as well.
Thank you for choosing Qlik,
Qlik Support -
Get Ready. A New Qlik Learning Experience is Coming!
We are thrilled to announce that the new Qlik Learning will launch on February 17, 2025. What is coming? A new Qlik Learning experience, consolidati... Show MoreWe are thrilled to announce that the new Qlik Learning will launch on February 17, 2025.
What is coming?
- A new Qlik Learning experience, consolidating the current Qlik Continuous Classroom and Talend Academy into one integrated learning platform.
- An unlimited Qlik Learning subscription designed to energize your learning experience, accelerate your success, and help you grow your skills and expertise throughout your career.
What can you expect with the new Qlik Learning experience:
- Gain hands-on Qlik Analytics and Data Integration experience in one spot with a single sign-on.
- Discover easy-to-follow learning journeys that are designed for you.
- Attend live webinars delivered on a regular basis on a variety of advanced topics.
- Access an extensive library of Qlik Learning Shorts. These short videos show you exactly how and why to perform common tasks, so you get it right the first time, every time.
- Use Qlik Certification resources and earn digital badges to help further your career and set new records for continuous learning.
What do we recommend to get prepared?
While Qlik is excited about this transition, there are actions we recommend:
There will be downtime while we prepare the new Qlik Learning experience for you. Downtime window starts at 8:00am ET on February 14 and ends on February 16 at 7:00pm ET. During this time, access to the current platform will be unavailable.
Qlik Continuous Classroom users:
If you are in the middle of completing a course, we recommend you complete it ahead of the new Qlik Learning launch, so your completion data is transferred, and progress is not lost.
Any Achievement or qualifications badges for the 2019, 2020, and 2021 Business Analyst or Data Architect will not be migrated into the new Qlik Learning, so we recommend downloading and sharing these using your Badgr backpack; also see the Sharing Badges on Social Sites document.
Check out the Qlik Learning FAQ we’ve prepared for you.
Talend Academy users:
You will log into the new Qlik Learning with your Qlik account. Don’t have an account? Sign up for a Qlik Account ahead of the launch using the same email address you use on Talend Academy.
Check out the Qlik Learning FAQ we’ve prepared for you.
Reach out to Qlik Learning at education@qlik.com if you have any questions. We greatly appreciate your patience as we work to enrich your learning experience.
Stay tuned for exciting learning updates!
*Important note: While we are confident on the February 17, 2025, launch date, please note there is always a possibility of adjustments. We will keep you informed promptly should any changes occur.
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DHBW Mannheim & Qlik: Empowering Future Leaders with Data Literacy
Imagine a world where data isn’t just numbers but a powerful tool for innovation. That’s exactly what DHBW Mannheim, the largest university in Baden-W... Show MoreImagine a world where data isn’t just numbers but a powerful tool for innovation. That’s exactly what DHBW Mannheim, the largest university in Baden-Württemberg, is achieving with the Qlik Academic Program!
In its Digital Commerce Management course, students don’t just learn about data—they experience it firsthand. Teaching data without hands-on practice? That’s like learning to drive without ever hitting the road!
By integrating Qlik Sense, students gain real-world skills in data management, visualization, and analysis, preparing them for a data-driven workforce. They tackle real datasets, build dynamic dashboards, and explore how data drives decisions in retail and services.
Why This Matters?
Industries are hungry for data-literate graduates who can analyze trends, optimize strategies, and innovate. Thanks to the Qlik Academic Program, DHBW students gain valuable qualifications that give them a competitive edge.
With Qlik Solutions Architect Lukas Lohmann’s support, students dive into hands-on projects—from streaming service comparisons to market trend analysis—gaining confidence in their data skills.
Ready to Learn More?
📖 Read the full success story here:
👉 German
👉 English🌟 Explore the Qlik Academic Program and how we’re transforming education: Qlik Academic Program
📩 Questions? Feel free to reach out at eliz.cayirli@qlik.com
Stay tuned for exciting updates!
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Dynamic Engine: The New Standard for Distributed Data Processing in Qlik Talend
As the needs for data management evolve rapidly and the demand for large-scale processing increases, Qlik takes a bold step forward with the release o... Show MoreAs the needs for data management evolve rapidly and the demand for large-scale processing increases, Qlik takes a bold step forward with the release of its groundbreaking product: Dynamic Engine.
This processing engine, designed to integrate natively with Kubernetes (K8s), redefines the data processing architecture, offering a unified, scalable, and future-ready solution.
In this blog, we will explore the key features of Dynamic Engine and what sets it apart from existing processing solutions within the Qlik Talend Data Fabric.
Unifying and Scaling Data Processing at Large
Dynamic Engine introduces a unified processing platform that adapts seamlessly to any workload, whether deployed in on-premise, hybrid, or SaaS environments. This flexibility makes it the solution of choice for enterprises looking to migrate or manage their data pipelines across diverse infrastructure setups.
Here are the key advantages of Dynamic Engine:
- Natively Integrated with Kubernetes (K8s): By leveraging Kubernetes, Dynamic Engine processes jobs within pods, offering nearly unlimited horizontal scalability. Each project is isolated within its own environment (namespace-based), ensuring better resource management and enhanced security.
- Distributed Processing at Scale: Unlike traditional Talend engines, Dynamic Engine enables the deployment of Kubernetes clusters to execute tasks in parallel, maximizing performance for batch processing and real-time data flows.
- Seamless Migration from Remote Engines: For existing Remote Engine users, the migration to Dynamic Engine is designed to be smooth and painless. Dynamic Engine becomes the new standard, ensuring a seamless transition while benefiting from enhanced features.
- Unified Data Workflows: One of Dynamic Engine’s main goals is to unify data processing workflows across the entire Qlik Talend suite, whether it’s integration, transformation, or data quality management. The engine standardizes and automates these workflows, regardless of data sources or destinations.
Dynamic Engine enables businesses to orchestrate data integration tasks on customer-controlled infrastructure while benefiting from cloud-managed services. But what sets it apart from traditional engines like Talend’s Remote Engine?
Built-in Version Upgrade Mechanism
Dynamic Engine simplifies the process of keeping your environment up to date with the latest versions. With a built-in version upgrade mechanism, users will receive notifications via the TMC whenever an update is available. The versioning system ensures consistency between the Dynamic Engine and its related Dynamic Engine Environments, which makes managing upgrades across different environments a straightforward process.
This mechanism allows for easier updates, ensuring that users can always benefit from new features, security patches, and performance improvements without the manual effort typically required in version management.
Smooth Migration from Remote Engine
For those currently using Qlik Talend’s Remote Engine, the transition to Dynamic Engine is made seamless through TMC’s promotion-based migration path. This migration is designed to be as frictionless as possible, leveraging existing APIs and known workflows.
With a few steps, users can promote their existing Remote Engine setups to Dynamic Engine configurations, preserving the familiarity of the existing environment while taking advantage of the added flexibility and cloud-native capabilities of Dynamic Engine.
Scalability via Run Profiles
Dynamic Engine’s ability to scale dynamically is one of its strongest features. Using TMC’s Run Profiles, organizations can define how their data tasks are distributed across resources.
This level of customization provides businesses with the flexibility to optimize their resources, improve performance, and reduce costs—all directly managed through TMC.
Compatibility with Leading Cloud Providers and On-Prem Infrastructure
Dynamic Engine is designed to work across various cloud and on-prem infrastructures, making it a versatile choice for enterprises. It is currently compatible with:
- AWS EKS (Elastic Kubernetes Service)
- Azure AKS (Azure Kubernetes Service)
- On-premise environments like RKE2 and K3S
In the near future, compatibility will extend to Google GKE (Google Kubernetes Engine) and OpenShift, ensuring that Dynamic Engine can meet the needs of organizations across different platforms. This flexibility allows businesses to maintain a hybrid approach to cloud and on-prem infrastructure, aligning with their specific requirements.
Comparison with Remote Engines
Historically, Talend’s solutions relied on Remote Engines to execute jobs outside of the Cloud. These engines allowed enterprises to maintain control over their infrastructure while utilizing local processing capabilities. However, as scalability and flexibility demands grew, these engines faced some limitations. Dynamic Engine, on the other hand, positions itself as a modern and automated solution.
Remote Engine Dynamic Engine Limited Scalability: Remote Engines were constrained by the capacity of the machines they ran on. For large workloads, the infrastructure had to be manually adjusted constantly.
Automatic scalability powered by Kubernetes.
Fragmented Data Flows: Although highly performant, Remote Engines required specific configurations for each type of processing, leading to fragmented workflows.
More fluid orchestration of data flows, centrally controlled via the Talend Management Console (TMC).
Manual Environment Management: Each Remote Engine required a high level of manual management for scaling and resource optimization.
Optimized resource utilization through Kubernetes pods, which can be easily provisioned and managed dynamically.
How It Operates and Deploys Across Different Environments
Dynamic Engine is designed to be deployed seamlessly in various environments. Here’s a closer look at its operation:
- On-Premise (with Cloud Orchestration via TMC): Although Dynamic Engine can be deployed on a Kubernetes cluster located on an on-premise infrastructure, its management and orchestration are still handled through the Talend Management Console (TMC) in the Cloud. This means that enterprises with local infrastructures can leverage their existing resources while benefiting from Cloud flexibility and agility for job management, performance monitoring, and workload scaling. This hybrid approach allows businesses to retain control over their physical resources while centralizing environment management through the Cloud.
- Hybrid or SaaS (via Kube as a Service approach): For enterprises operating in hybrid or fully Cloud-based environments, Dynamic Engine integrates seamlessly via platforms such as Qlik Cloud or directly through TMC. This flexibility allows Kubernetes clusters to be deployed in the Cloud and jobs to be managed at scale without requiring local infrastructure, making deployment simpler and faster.
- Scalability through Kubernetes: One of Dynamic Engine’s major strengths is its ability to dynamically provision Kubernetes nodes based on processing needs. This ensures that data pipelines can automatically scale with workload variations, maximizing resource efficiency and reducing processing times.
Full documentation can be found here.
Conclusion: A Future-Ready Engine
With Dynamic Engine, Qlik offers a solution that not only addresses today’s challenges of large-scale data processing but also sets the standard for future data management needs. Whether enterprises are looking to scale their processing capacity, unify their data workflows, or automate environment management, Dynamic Engine stands out as the solution of choice.
Together with Talend Data Fabric, Dynamic Engine creates a complete ecosystem that transforms how data is integrated, processed, and leveraged across the organization.
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Financiamento Apartamento e Despesas
Financiamento Apartamento e DespesasPersonalApplication for financial organizationDiscoveriesSet AnalysisImpactOrganizationAudienceAdministratorData a... Show MoreFinanciamento Apartamento e DespesasPersonalApplication for financial organizationDiscoveries
Set Analysis
Impact
Organization
Audience
Administrator
Data and advanced analytics
Finanças
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Creating a write back solution with Qlik Cloud is now possible!
Static, read-only dashboards are a thing of the past compared to what's possible now in Qlik Cloud. ‘Write back’ solutions offer the ability to input... Show MoreStatic, read-only dashboards are a thing of the past compared to what's possible now in Qlik Cloud.
‘Write back’ solutions offer the ability to input data or update dimensions in source systems, such as databases or CRMs, all while staying within a Qlik Sense app.
The solution incorporates both Qlik Cloud and Application Automation to enable users to input data from a dashboard or application and run the appropriate data refresh across the source system as well as the analytics.
Example Use Cases:
- Ticket/ Incident Creation
- Create Ticket or Incident in JIRA or ServiceNow.
- Data Changes
- Update Deals/Accounts in a CRM like HubSpot or Salesforce.
- Data Annotations
- Add a comment to or more records in a source system.
This new feature is possible with all of the connectors located in Application Automation, including:
- CRMs like HubSpot or Salesforce
- Databases like Snowflake, Databricks, Google Bigquery
- SharePoint
- and more!
Below you can see technical diagram based around using Application Automation for a write back solution.
The ability to write back in Qlik Cloud is a game changer for customers who want to operationalize their existing Qlik Sense applications to enhance decision making right inside an app where the analytics live. This not only streamlines business processes across an ever-growing data landscape, but it also enables users to to act in the moment. With Application Automation powering the write back executions, customers can unlock more value across their data and analytics environment.
To learn more for a more ‘hands-on tutorial’ please see video here.
- Ticket/ Incident Creation
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Exploring the new Navigation Menu object
The new Navigation Menu object in Qlik allows for a flexible and easy way to add a menu to your Qlik Sense apps. Whether you're designing an app in Ql... Show MoreThe new Navigation Menu object in Qlik allows for a flexible and easy way to add a menu to your Qlik Sense apps. Whether you're designing an app in Qlik Sense or embedding Qlik capabilities into a web platform, you should make this new object your go-to solution for organized and stylish navigation.
In this blog post, we'll explore into the new Navigation Menu object, its features, customization options, embedding capabilities, and key considerations for getting the most out of it. For a quick overview, check out the SaaS in 60 video below:
Navigation Menu in Qlik Sense Apps
Up until now, navigation in your apps has been limited to the following options:
- Navigating through the built in Sheets tab in the assets panel
- Custom built extensions
- Or, in-app, using existing objects:
- Using buttons:
- Using the layout container in addition to buttons to create custom sidebars:
- Using buttons:
The new Navigation Menu object enhances your Qlik Sense app usability and makes it easier to achieve similar results faster tailored to your needs
Key Features:- Sheet Organization: Automatically arranges sheets and groups into a hierarchy for intuitive navigation.
- Flexible Layouts: Choose from vertical, horizontal, or drawer-style menus, adapting to your app’s design needs.
- Custom Styling: Personalize fonts (family, size, weight, and color), background images, align items, and hover and highlight effects. You can also toggle icons or resize the buttons.
- Mobile-Optimized: Enable a list view for seamless navigation on mobile devices.
- Integration-Friendly: Pair with "sheet title off" and selection bar for a minimalistic yet functional design.
You can toggle the "App Navigation bar > Navigation" or "Sheet Header" option to OFF in the UI settings and have the Navigation Menu object replace your traditional Sheets for a more minimalistic look.
👀 You can see the Navigation Menu object in action on the What’s New App:
https://explore.qlik.com/app/4911b1af-2f3c-4d8a-9fd5-1de5b04d195cNavigation Menu embedded in your Web Apps
For developers looking to incorporate Qlik analytics into their web applications, the Navigation Menu object can save time when developing a custom sheet navigation. You can easily embed the navigation menu object and customize it to meet your needs. (Learn more here)
How to Embed the Navigation Menu
Here’s a simple example of embedding a horizontal navigation menu in your web app using Nebula.js.
You can read more about Embedding and access the full documentation on qlik.dev:
const nuked = window.stardust.embed(app, { context: { theme: "light" }, types: [ { name: "sn-nav-menu", load: () => Promise.resolve(window["sn-nav-menu"]), }, ], }); nuked.render({ type: "sn-nav-menu", element: document.querySelector(".menu"), properties: { layoutOptions: { orientation: "horizontal", alignment: "top-center", }, }, });
Advanced Customization
Using JSON properties, you can customize the navigation menu extensively:
- Adjust the orientation, alignment, and layout.
- Add drawer functionality for compact navigation.
- Style hover and highlight effects, font colors, and background images.
- Align menu items to the left, center, or right for a consistent look.
These capabilities make the Navigation Menu a versatile tool for developers working on embedded analytics projects.
nuked.render({ type: "sn-nav-menu", element: document.querySelector(".menu"), properties: { "layoutOptions": { "drawerMode": false, "hideDrawerIcon": false, "orientation": "horizontal", "layout": "fill", "alignment": "top-center", "separateItems": false, "dividerColor": { "color": "rgba(0,0,0,0.12)", "index": -1 }, "largeItems": false, "showItemIcons": false }, "components": [ { "key": "general" }, { "key": "theme", "content": { "fontSize": "18px", "fontStyle": { "bold": true, "italic": false, "underline": false, "normal": true }, "defaultColor": { "index": 15, "color": "#000000", "alpha": 1 }, "defaultFontColor": { "color": "#ffffff", "alpha": 1 }, "highlightColor": { "index": -1, "color": "#3ba63b", "alpha": 1 }, "highlightFontColor": { "color": "#ffffff", "alpha": 1 }, "hoverColor": { "index": -1, "color": "#ffa82e", "alpha": 1 }, "borderRadius": "20px" } } ] }, navigation: sheetObject.navigation, });
Things to watch out for
While the Navigation Menu object is a fantastic addition, there are some key points to consider:
- Content Security Policy (CSP): If you use background images from external URLs, ensure their origins are added to your tenant’s CSP allowlist. This step is essential for compliance and functionality.
- Hierarchy Management: Group sheets effectively in your Qlik app to create a logical navigation structure.
- Mobile Responsiveness: Test the menu thoroughly on various devices to ensure an optimal user experience, especially when using the list view.
- Design Consistency: Align the menu’s styling with the rest of your app for a unified look and feel.
- Navigating through the built in Sheets tab in the assets panel
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Legacy Qlik Analytics Connectors for Amazon S3 to be deprecated in 2025
The following connectors will be removed and are not recommended for further use: Amazon S3 Metadata Amazon S3: this is a “File location” connector ... Show MoreThe following connectors will be removed and are not recommended for further use:
- Amazon S3 Metadata
- Amazon S3: this is a “File location” connector
Instead, use the following connectors:
- Amazon S3 Metadata V2
- Amazon S3 V2: this is a “File location” connector
The connectors labeled with the suffix “V2” were introduced in 2022 and have since then been the recommended connectors for access to Amazon S3 buckets.
The V2 connectors access Amazon S3 buckets based on the AWS SDK for .NET Core, whereas the legacy S3 connectors were based on the REST API.
The plans to remove the legacy S3 connectors are as follows:
- Qlik Sense Cloud: by the end of April 2025
- Qlik Sense Enterprise on Windows: release May 2025
- Qlik Web Connector (standalone): release June 2025
The legacy S3 connectors and the S3 connectors “V2” have the exact same capabilities, and a migration will in most cases only require a new connection definition and an update in the connection name within the Qlik Script.
Additional Reading
If you have any questions, do not hesitate to contact us through the Qlik Customer Portal.
Thank you for choosing Qlik,
Qlik Support -
Anonymized Benchmarking
Anonymized BenchmarkingSiemensThe goal of this app is to be able to track your country's financial KPIs against other country's without breaching data... Show MoreAnonymized BenchmarkingSiemensThe goal of this app is to be able to track your country's financial KPIs against other country's without breaching data privacy rules. As such, you can see all KPI values but only the country to which you have access is revealed, while others are represented by a randomized tag.Discoveries
You can leverage section access to anonymize field values.
Impact
Allows users to get a view of the whole environment without breaching any data privacy rules.
Audience
Financial Controllers
Data and advanced analytics
Financial controllers are able to tell how well their own country is performing in comparison to others and can adjust their strategy accordingly.
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Qlik Community Search Experience Upgrade on the 6th of February 2025
Edited 5th of February: Start date moved forward be one hour from 4 AM to 3 AM. The upgrade was completed successfully. Qlik Community is upgrading it... Show MoreEdited 5th of February: Start date moved forward be one hour from 4 AM to 3 AM.
The upgrade was completed successfully.
Qlik Community is upgrading its search capabilities on the 6th of February.
Your usual search experience may be impacted intermittently for a duration of approximately 45 minutes between 3 AM and 8:30 AM Central European time.
You will still be able to use the community’s classic search during this window. To access it, click Search, then switch to Use Classic Community Search.
As always, if you need further support, please contact us on Qlik’s Customer Portal.
This blog post will be updated once the maintenance has been completed.
Thank you for choosing Qlik,
Qlik Support -
Watch Q&A with Qlik: App Development!
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. Our ... Show MoreDon'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.
Our Qlik experts offer creative solutions to your analytics demands and answer your visualization questions.
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Meet the Qlik Academic Program Educator Ambassadors for 2025
The Qlik Academic Program is proud to announce our 2025 class of Educator Ambassadors. Academic Program Ambassadors are educators who champion the Qli... Show MoreThe Qlik Academic Program is proud to announce our 2025 class of Educator Ambassadors. Academic Program Ambassadors are educators who champion the Qlik Academic Program at their universities and beyond, with a passion for preparing students for the data driven workplace.These individuals are some of our most active participants of the Qlik Academic Program who fully utilize the free software, training resources and qualifications that we provide to university students and educators. The members of our 2025 class are:Marcin StawarzBlerim EmruliJavier LeonAngelika KlidasDr K KalaiselviAngel R MonjarásDaniel E. O'LearyAlexander FlaigChee-wai HoDr. Manikandan SundaramKatherine Taylor PearsonTerrence PereraDarshan SagarJuana Ines ZuntiniMarisa SánchezWe are thrilled to be recognizing the efforts of these individuals to help the Qlik Academic Program to achieve its mission - to create a data literate world, one student at a time. Each ambassador has been selected through a self-nominated application process, where they were required to answer various questions covering their motivations for becoming an ambassador, and to evidence their passion for upskilling their students in analytics over the past 12 months. This year, we are excited to select 15 ambassadors, 7 new ones and 8 returning ambassadors whose efforts continued to impress us. To thank them for their efforts, our ambassadors will receive exclusive benefits such as webinars and discussion groups with Qlik leaders, opportunities to showcase their experience with the Qlik Academic Program and the chance to grow their network with other educators across various fields and geographies.Throughout 2025 our ambassadors will continue their advocacy for the Qlik Academic Program and help us to reach even more students and educators with our free resources. Stay tuned over the coming months for more in-depth profiles on each of our ambassadors, and get to know who they are, what they teach and why they are so passionate about bridging the data literacy skills gap! Learn more about the Ambassador Program and how to apply for future classes. -
Introducing no-code data preparation in Qlik Cloud Analytics
Meet Data Flow, Qlik Cloud Analytics’ new no-code data flow designer. Whether you are a data pro or new to analytics, Data Flow makes data prep easy f... Show MoreMeet Data Flow, Qlik Cloud Analytics’ new no-code data flow designer. Whether you are a data pro or new to analytics, Data Flow makes data prep easy for you—and everyone you work with. With an intuitive, drag-and-drop interface, it's built to create smoother workflows and help your team turn data chaos into gold. No coding required.
No skill gaps, no delays. Designed to find insights faster.
But don't just take our word for it....check out this awesome video from @igoralcantara to see for yourself!
Ditch the data drama. Data prep for all.
For Getting Started with Qlik
Getting started with Qlik Script can feel daunting. We have eliminated the steep learning curve, making it easy for anyone to jump in. Now you can visually combine and shape your data to automatically generate Qlik script and build your first analytics app.
For Traditional Analytics
Handle diverse and even complex use cases. Create rapid iterations before moving to reusable and governed data models. Built natively into Qlik Cloud Analytics, offering an end-to-end experience from data prep to advanced analytics and visualizations.
For Machine Learning
Preparing data for predictive analytics through AutoML just got easier. Now our no-code data flow and script capabilities simplify this process, making it easier for everyone, especially non-data scientists, to get started with machine learning. Confidently prepare data and dive into AutoML with ease, no advanced technical expertise required.
Shortcut to Insights
No more long hours spent on data prep. Clean, transform, and organize your data in record time. Quit getting bogged down by complicated steps. Get quick results that let you focus on what really matters.
Trust Your Data, Trust Your Decisions
No more second-guessing. Easily and safely connect to Qlik® and other data sources for comprehensive data access. Self-serve data prep with built-in guardrails. Maintain strict governance with the enterprise-grade platform that meets strict standards to keep your data secure.
Solve Data Complexity
Removes IT bottlenecks with user-friendly interface, letting non-technical users easily prepare data. Handle growing data complexity and quality issues with ease with an intuitive platform that adapts to your needs—keeping everything simple, flexible, and in control.
Your analysis is only as good as the data that power it. So let it flow. Only on Qlik Cloud Analytics.
Key Highlights:
- User-friendly, visual interface with drag-and-drop functionality
- Natively built into #QlikCloudAnalytics
- Supports a wide range of use cases, from simple analytics to complex AI applications.
- Reduces time spent on data preparation
- Adaptable platform that evolves with changing analytics needs
Learn More:
- Creating a Data Flow | Step-by-step video guide
- Loading and Preparing Data with Data Flow | Qlik Help
- New Data Prep Webpage on Qlik.com
- Press Release for Data Flow
- What’s New in Qlik Cloud | Qlik Help
Reach out to @OlivierDubois or myself @JulianneDeVincenzo anytime ☺️
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Analytic Forums Navigation Updates and Improvements
Hello Qlik Community! We’ve made some updates to the Analytics and AI/ML forums to help improve navigation and make it easier for you to find what you... Show MoreHello Qlik Community!
We’ve made some updates to the Analytics and AI/ML forums to help improve navigation and make it easier for you to find what you’re looking for.
Here’s a summary of the changes:
Renamed:
- ‘Move to SaaS’ is now ‘Move to Qlik Cloud Analytics’
- ‘New to Qlik Analytics’ is now ‘Visualizations and Usability’
Combined:
- ‘Qlik Reporting Service’ + ‘Alerting’ are now combined as ‘Reporting Service & Alerting’
Moved:
- ‘Qlik NPrinting’ is now listed only under ‘Forums by Product’
- ‘QlikView’ is now listed only under ‘Forums by Product’
- ‘Integration, Extension & APIs’ is now listed only under ‘Analytics’
Before:
After:
We hope these changes will make your forum experience even better. If you have any questions or feedback, feel free to reach out using the comments below!
Next up we will be tackling the Data Integration forums so stay tuned!
You Qlik Community Admins,
Melissa, Sue, Jamie, Nicole Caleb, and Tammy
@Melissa_Potvin @Sue_Macaluso @Jamie_Gregory @nicole_ulloa @calebjlee @Tammy_Milsom -
Introducing a powerful no-code data flow designer: Qlik Data Flow
No scripting skills? No problem. With Qlik Data Flow, our no-code data prep tools, we’re flipping the script on how analysts spend their time. Instea... Show MoreNo scripting skills? No problem.
With Qlik Data Flow, our no-code data prep tools, we’re flipping the script on how analysts spend their time. Instead of drowning in data preparation—often taking up to 80% of your time—you can now focus on what really matters: uncovering insights. This shift means quicker, more impactful decision-making for your business.
Read the full announcement on our Qlik Innovation Blog.
Key Highlights:
- User-friendly, visual interface with drag-and-drop functionality
- Natively built into Qlik Cloud Analytics
- Supports a wide range of use cases, from simple analytics to complex AI applications
- Reduces time spent on data preparation
- Adaptable platform that evolves with changing analytics needs
Want to learn more?
- Data Preparation Tour
Take an extensive tour of Qlik Data Flow - What’s New in Qlik Cloud
Learn about new features and improvements - Data Flow - Prepare Training Data for Predictive Models Overview
This episode of Do More with Qlik Tips and Tricks will present a brief scenario on how to use Data Flow to prepare your data for predictive modeling. - Loading and preparing data with data flow
Our Qlik Help Sources
Thank you for choosing Qlik,
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