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Hi
I'm trying to add a logo to a brand via the API using the SDK, but I'm getting errors:
qlik.brands.create(name=client_tenant["client_name"],logo="temp_files/logo.png")
It's bringing me back the error:
qlik_sdk/utils.py", line 7, in get_mime_type
first_bytes = buffer.peek()
AttributeError: 'str' object has no attribute 'peek'
When I create the Brand but omit the logo it works. 've tried adding the logo separately using:
files_dict = {"file":"temp_files/Logo.png"}
response = qlik_oauth_connection.client.rest(
path=f"/brands/{brand_id}/files/logo",
method="POST",
params={},
data=None,
files=files_dict
)
I get an error 400 Client Error: Bad Request for url:
Imagine it's something simple, although I'm stumped at the moment. Any help would be appreciated
Hello,
I need to display the name of the active dimension in a bar chart title while using a drill-down group (NOT a cyclic group).
I’ve tried using standard group functions, but they don't seem to behave the same way with hierarchical groups as they do with cyclic ones. Is there a specific expression or workaround in Qlik Cloud to identify which level of the hierarchy is currently active?
Thanks in advance!
Hi everyone,
I am currently preparing to take the Business Analyst Certification Exam this month, and would like to know if anyone has any tips or advice on what I should be focusing my studying on?
Any advice would be greatly appreciated!
Thank you!
I am successfully using the Capability API's exportImg function (and here) to get a PNG image file for certain charts/sheet objects.
But... exportImg is part of the Capability API, which has not been updated since 2018 (!)
Nebula.js is more recent, qlik-embed even more so.
But neither have that nice exportImg() function (or some equivalent) as far as I understand.
My question is simply:
What is the current best-practice if I want to get a PNG of an chart object?
Looking at the QSEoW and Qlik Sense Cloud clients, they do it in different ways:
I could do something similar to the above, but a pre-baked library that wrap this is of course nice..
Does that exist?
Hi team,
for automating scheduled full-load qlik replicate tasks via script, I have used qlik rest api endpoints(java implementation).
1 task can contain n tables. To reload a table, I need to call reload table api + run task api. my script allows to reload 1 table, as per user requirement. My doubt is if the task is already running to reload 1 table, how should I handle the new script command to reload other table. Should it wait for the task to stop first, before requesting reload new table.
Right now, i wrote my script like that, but for few replication tasks which have large number of tables, the other calls just keep waiting.
Thanks in advance!
Hello,
We have a growing number of customers who rely on Qlik NPrinting for their email reporting distribution via Office 365 (Exchange Online).
As many of you know, Microsoft has been proactively disabling Basic Authentication for SMTP AUTH, with a final deadline for full retirement currently set for April 2026.
Exchange Online to retire Basic auth for Client Submission (SMTP AUTH) | Microsoft Community Hub
Since NPrinting currently only supports Basic Authentication for its built-in SMTP connection, this presents a significant problem for many organizations.
The Problem
NPrinting currently does not support OAuth 2.0 (Modern Authentication) for connecting to smtp.office365.com.
As Microsoft retires Basic Auth, our current reporting setup for many customers will break entirely.
My Questions for the Community & Qlik
Is there any official roadmap information regarding the implementation of OAuth 2.0 / Modern Authentication for NPrinting's SMTP configuration?
What is the long-term, supported strategy for Qlik NPrinting to connect to Microsoft 365 mailboxes for report distribution?
Qlik NPrinting
continuing from my previous question where i tried to upgrade from Nov 22 to Nov 25 in Linux
https://community.qlik.com/t5/Qlik-Replicate/Upgrade-Qlik-replicate-from-November-2022-to-November-2025/m-p/2539984#M15714
but i encounter too much error so i decided to uninstall current qlik replicate using
verbose=true debug=true rpm -e areplicate
i also confirm it by using :
rpm -q areplicate
long short story, I tried to install Qlik replicate nov 25 in the same server after uninstall nov 22
tar xf QlikReplicate_2025_11_0_Linux_X64.tar.gz
sudo user=attunity group=attunity nocredentials=true verbose=true rpm -Uvh --prefix /opt/ areplicate-2025.11.0-164.x86_64.rpm --nodeps
install complete without error and service is running fine, but when i open UI URL : https://XXXXX:3552/attunityreplicate
it redirect to https://XXXXX:3552/attunityreplicate/2022.11.0.394/#!/tasks
and in the UI, the version is still 2022.11.0.394
i don't know how to check the version but when i checked in repsrv.log it shows :
00043841: 2025-12-31T16:20:59:193733 [AT_GLOBAL ]I: Qlik Replicate Server Log (V2025.11.0.164
Hi, I’m a student who recently decided to take the Microsoft MS-900 Exam, and I want to share my experience about where to get it, how it works, and what to expect. If you’re thinking about this exam, my journey might help you.
Before I tell you where I took the exam, let me explain a bit about it. The MS-900 is officially called Microsoft 365 Fundamentals. Microsoft MS-900 exam questions are designed for anyone who wants to learn the basics of Microsoft 365 services, cloud concepts, and security tools. You don’t need to be an IT expert to start, which is great for students like me.
At first, I was confused about where to get the MS-900 exam. After searching online, I discovered that Microsoft partners with official exam centers and online platforms to conduct exams. You can get the exam in two main ways:
I personally found online testing more convenient because I could schedule it around my study hours.
I prepared using free online resources, study guides, and practice questions. I also found CertBoosters helpful for understanding real exam scenarios, even though I only used it lightly. It gave me confidence about the exam structure and the type of questions I might face.
I studied for about two weeks, focusing on the main concepts like Microsoft 365 applications, cloud benefits, and basic security settings. Practicing sample questions repeatedly made a big difference.
Change Data Capture (CDC) is a critical technique for enterprises seeking real-time analytics without the overhead of full data reloads. Qlik Replicate provides robust tools to automate CDC and deliver near-instant insights from source systems. Here’s how it works:
1. Real-Time Change Tracking
Qlik Replicate monitors source databases for insert, update, and delete operations in real time. By capturing only the changed records, it eliminates unnecessary data movement and ensures analytics systems remain up-to-date.
2. Log-Based Capture
The platform leverages database transaction logs instead of full table scans. This reduces the performance impact on source systems while maintaining low-latency replication to the target environment.
3. Automated Configuration
Qlik Replicate simplifies CDC setup with a metadata-driven interface, allowing users to define tables, schemas, and replication rules quickly. Automated detection of new tables and schema changes further reduces manual maintenance.
4. Integration with Analytics Targets
Captured changes are automatically delivered to data warehouses, lakes, or analytics platforms like Snowflake, Redshift, BigQuery, or Qlik Sense. This ensures that dashboards and reports reflect near real-time data.
5. Data Transformation and Filtering
Qlik Replicate allows transformations, filtering, and masking during replication. This ensures that only relevant, analytics-ready data is delivered while maintaining security and compliance.
6. Monitoring and Error Handling
Built-in monitoring and alerts ensure replication jobs run smoothly. Any errors in CDC streams are logged and can be addressed without disrupting downstream analytics.
Key Takeaway: By combining log-based CDC, automated configuration, transformation, and robust monitoring, Qlik Replicate enables enterprises to implement low-latency analytics efficiently, keeping decision-makers equipped with real-time insights.
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