Hello Qlik Admins,
The release of QlikView 12.100 IR has been moved to the fall of 2025.
Because of the release date's move, support for previous versions will be extended accordingly:
12.80 will be supported until the end of October 2025
12.90 will be supported until the end of October 2026
Further updates with the exact release date will be provided later in the year.
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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 insights from Qlik experts.
Next Thursday, March 13, 2025 Qlik will host another Techspert Talks session and this time we are looking at Embedding Qlik Analytics in SharePoint.
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:
Review of important Qlik Cloud settings
Building the authentication script
SharePoint site integration
Click on this link to 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!!
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Within Qlik Cloud Analytics, the Data Alerts feature offers users the ability to be notified of exceptions in the data. When scheduling a data alert, users can define the data conditions of interest within an app and have the option to configure a schedule setting when data is refreshed by a reload of the app.
There will be an improvement to this specific Schedule configuration setting in an upcoming release scheduled for the second half ofMarch 2025.
New to Data Alerts?
Read more in Monitoring data with alerts.
How Data Alerts currently work:
Currently, the schedule configuration When data is refreshed(fig 1) by a reload of the app is evaluated every time the app is reloaded regardless of whether the data set within the app has changed.
fig 1
This has led to users receiving repetitive alerts for the same data status and risks "alert fatigue". It is also not the intended behavior of the feature as no alert should be sent if the underlying data set has not actually changed.
What changes?
With the upcoming change to the Data Alerts feature, the underlying evaluation behavior for this schedule configuration (When data is refreshed by a reload of the app) will be optimized to evaluate only when there is new data available in the app and the app is reloaded. The same alert status may still be sent for a given condition, but the condition will always have been evaluated from a new data state in the app.
What impact will this have?
The impact of this change will reduce the number of alerts delivered to users in the scenario that the underlying data has not changed (on a reload), making the alert delivery more impactful. Of course, users can still use the configuration Compare with: Last evaluation(fig 2) to further optimize their alert delivery.
fig 2
Users who prefer a reload-triggered and repetitive (same data state) data alert might consider:
Change the data alert configuration to a Fixed Schedule
In the case of system app monitoring, configure a notification on the app to communicate when the app is reloaded (App > Notification settings)
Consider using Subscriptions on a scheduled basis to deliver the state of the data
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Starting March 11th, 2025, Slack will enforce changes in their APIsaffecting file uploads. To accommodate these breaking changes, we have introduced new blocks in the Slack connector for Qlik Application Automation.
What blocks are affected?
Upload File To Channel (new version)
Send Text Based file (new version)
Send Binary File (deprecated)
What exactly is changing for Qlik Application Automation?
The Send Binary File block will be deprecated. Instead, use the Upload File to Channel block to upload binary files. If you still want to send a base64 encoded string, use the Send Text Based File block and configure the encoding parameter to base64.
The Upload File To Channel block and Send Text Based File block need to be updated to a new version.To perform this update, replace existing blocks with new blocks by dragging the blocks from the block library.
What will I need to do to mitigate this?
Any automation using affected blocks needs to be updated.
SeeBreaking changes for file support in the Slack connector: new blocks introducedfor steps and details.
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The 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
Data sources in Qlik Cloud Analytics
Built-in Qlik Web Connectors
Qlik Web Connectors
If you have any questions, do not hesitate to contact us through the Qlik Customer Portal.
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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 its search capabilities on the 6th of February.
Your usual search experience may be impacted intermittently for a duration of approximately 45 minutes between 3AM and 8:30 AM Central Europeantime.
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.
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No scripting skills? No problem.
WithQlik 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 TourTake 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 OverviewThis 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 HelpSources
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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.
SEE THE RECORDING HERE!
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