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Qlik Cloud July 2024: what’s new

DATA ANALYTICS

1. Refine your in-app subscriptions with dynamic expressions

In-app subscriptions are now more powerful with the use of bookmark capabilities, allowing for dynamic expressions to be used in report creation! When creating and sharing subscriptions, use expression search to filter the data at report generation time based on date expressions, calculated values, and more… allowing for more accurate reports!

Expression search

Scheduling reports with subscriptions

2. Qlik Answers

With Qlik Answers, users can unlock the potential of unstructured data through a plug-and-play assistant using Large Language Models (LLMs).

Key Features

Qlik Answers creates an end-to-end RAG solution with two major components.

  • Create a repository of knowledge using 8 types of connectors. Use filters and regular expression to define how you want to add data to a knowledge base.
    • Connectors: Qlik Catalog, Amazon S3 and S3 V2, Dropbox, Sharepoint, Azure Storage, Google Cloud Storage, SFTP
    • Accepted files: PDF, DOCX, PPTX, TXT, MD, HTML, ODT, RFT
  • Index data sources, in which unstructured data is stored in a vector databases that will be used in the assistants. Users can also set a daily indexing schedule, discover changes in a data source, and view a history of indexed documents.
  • Knowledge base access control simplifies the management of which users can ask and view data from different sources.

Assistants

  • Ask questions about information in connected knowledge bases and give feedback on answer quality.
  • Customize your assistant with a welcome message and conversation starters which are one-click questions that guide end users towards their first questions.
  • Review all threads as an Audit Admin and view which threads are marked with positive or negative feedback. If the source content is inaccurate, fix it so that future answers are accurate.

Qlik Answers

3. Tabular reporting – Formatting of dates and numbers against locale settings for PDF output

PDF files produced from tabular reporting can now respect locale formatting of dates and numbers. The following capabilities have been introduced:

  • For report tasks, the report developer can define the locale to be used for dates and numbers during task execution when the PDF format is selected.
  • For on-demand tabular reports to be produced in PDF format, the user’s Qlik Cloudlocale will determine the formatting of any dates and numbers in the report.
  • When generating a preview in PDF format from the Qlik add-in for Microsoft Excel, the user’s Microsoft Excel locale will determine the formatting of any dates and numbers in the report.

Working with report tasks

Creating on-demand reports

4. New Direct Access gateway version 1.6.7

Direct Access gateway 1.6.7 introduces new capabilities and resolves several issues, including security vulnerabilities.

  • Previously, it was not possible to set the [ODBC|SAPBW|SAPSQL|SAPPACKAGE]_MAX_PROCESS_COUNT value higher than 10 when using the default port number and range settings. From this version, ports will be allocated automatically, allowing the number of concurrent reload processes to be greater than 10.

  • With this enhancement, when 10,000 tables or more are retrieved, the tables will be retrieved in batches of 10,000 to prevent timeouts.

To benefit from the enhancements and resolved issues, customers are encouraged to upgrade at the earliest opportunity. For upgrade instructions and a list of resolved issues, see Upgrading the Direct Access gateway installation

5. New enhancements for Qlik AutoML

Enhanced user interface for ML experiments

A tabbed interface allows you to navigate between various processes in your model training experience. The various tabs, as well as the experiment configuration panel, allow you to perform numerous tasks to help you train and optimize your model.

Navigating the experiment interface

Intelligent model optimization

Intelligent model optimization provides automatic refinement of the models you train in an experiment. With intelligent model optimization, features that can negatively affect model performance are automatically excluded from model training. With a well-prepared training dataset that includes all relevant features, you can expect intelligent model optimization to train ready-to-deploy models within a single version.

Intelligent model optimization

Embedded analytics

Enhanced capabilities for model analysis have been added to Qlik AutoML:

  • In the Compare tab of the experiment, you can view all model scores and hyperparameters for the models you train.Comparing models
  • In the Analyze tab of the experiment, you can focus on a single model for in-depth analysis of its predictive performance.

    Performing detailed model analysis

6. Qlik add-in for Microsoft Excel – optimized experience for changing source app

The Qlik add-in for Microsoft Excel has an optimized connection update flow to guide users through moments where there is a need to reconnect a template to a copy of an app or to an app in a different space or tenant. This is particularly handy for the managed space reconnection situations where you can now easily select the desired space and application from a selection list.

Getting started with the Qlik add-in for Microsoft Excel

7. Modifiers and expression based text styling in the new straight table

The new straight table in the Visualization bundle gets two enhancements. First is text styling by expression: set the dimension or measure to any combination of bold, italic, underline, and strikethrough using a second expression with tags <b>,<i>,<u> and<s>. Second is modifiers: turn your measure into an accumulation, a moving average, a difference, or a relative number with a single drop down.

Straight table

Read Qlik Cloud June 2024: what’s new

DATA INTEGRATION

1. Shared Data Space

With the launch of Qlik Talend Cloud we introduced the Starter edition to simplify the experience of creating connections and projects for straightforward replication tasks. As part of this improved experience a data space, called “Data-Space”, is automatically created in every tenant.

This feature is extended to all editions of Qlik Talend Cloud: Starter, Standard, Premium and Enterprise.

The owner of ‘Data-Space’ will be the first admin to enter the tenant, and all users of the tenant will be automatically granted with the following permissions:

  • Can view

  • Can consume data

  • Can edit

  • Can manage

  • Can operate

Working in spaces in Qlik Talend Data Integration

2. Transformation flows – Microsoft SQL Server supported

Transformation flows are now supported in data pipeline projects using Microsoft SQL Server as target. Users can now develop graphical transformations alongside the custom SQL based transformations to support complex requirements for reshaping data.

Adding transformation flows

3. SQL Expression processor

SQL Expression processor is now available as part of Transformation flows in Qlik Cloud Data Integration. The SQL Expression processor lets you write simple or complex SQL expressions to process data in a new column of your source dataset.

SQL Expression processor

4. Simplified metadata change experience

Qlik Talend Cloud now supports automated ALTER of tables when making changes to the data type of columns in your data pipelines, avoiding the need to drop and recreate tables. This enables a simpler metadata change experience and offers the ability to retain historical data when adjusting data types.

Automated ALTER of tables is supported when the data type change is supported by the target platform.

Understanding the impact of changing a data type

5. New Starter edition with simplified UX

The new Starter edition introduces a streamlined user experience with an intuitive user interface that eliminates the need to learn about more advanced options. As its name suggests, the Starter edition is aimed at getting you started with your data projects as quickly as possible, effortlessly building simple, linear data replication pipelines with proven value, at speed. Note: Not supported in Qlik Cloud Government.

6. Refreshing metadata

Refreshing metadata provides the ability to manually trigger a refresh the metadata of a dataset when the dataset is based on a source object. This will detect new and removed columns, changes to existing columns such as data type changes, and renamed columns.

For example, in a Landing task you can refresh the metadata for TABLEA from its data source to add, alter, or understand which columns that have been removed.

You can trigger a metadata refresh for individual datasets or complete tasks in:

In pipeline projects with transformations, columns will not be automatically deleted. This is to ensure that downstream transformations will continue to work if columns are removed in the source. Note: Not supported in Qlik Cloud Government.

7. New gateway-less data loader capability

We are pleased to introduce a new data loader capability that doesn’t require you to install a gateway or any drivers. This new gateway-less data loader is designed for SaaS based cloud sources and some database sources. It is available as an option in Qlik Talend Data Integrationand included in all editions: Starter (required), Standard, Premium and Enterprise.

Standard, Premium and Enterprise editions also offer a Data Movement gateway to cater for data sources or targets that are behind a firewall or located in a private cloud. Data Movement gateway also facilitates near real time-CDC (Change data capture) from supported database sources and much shorter CDC intervals from SaaS applications (with the Premium and Enterprise editions). Note: Not supported in Qlik Cloud Government.

 

8. New Qlik Talend Data Integration landing page

The new landing page combines the Getting Started and Home pages into a single starting point. The getting started section at the top highlights key actions to get value from Qlik Talend Data Integration. Once familiar, you can hide the Getting Started section, keeping the page as your launchpad for data integration.

Shortcuts on the new home page surface the actions you need to take based on your role. They guide you through data integration tasks effortlessly, making your experience more intuitive and efficient. We have also added components for recently modified items and notifications. They provide quick access to what you are working on, and ensure you don’t miss any significant updates in your account.

9. Data products catalog

With Qlik Talend Cloud, users can unlock data value through data products, a unique product-centric approach to streamlining end-to-end data management.

Product-centric approach in data management

Data products are valuable because data product teams can quickly produce high-quality, curated, domain-centric data assets, that can be easily accessed by data consumers and leveraged in several business use cases across the organization. This closes the gap between what data producers are putting together and what data consumers need. Just like real products, data products are built iteratively and have a lifecycle – from creating a data product to managing the quality of the data product, activating it into the data marketplace, and deactivating it when they are no longer needed.

Key Features

Qlik Talend Cloud brings together an integrated data management experience – from data integration to transformation, data quality, and governance. The data product catalog in Qlik Talend Cloud offers several key capabilities to manage the data product lifecycle end-to-end.

  • A data marketplace, where data products are readily available for data consumers to shop and leverage according to their use cases. Within the data marketplace, data consumers can get a sample preview of the data products, including quality information, descriptions, and relevant tags.
  • Data product quality and profiling where data product teams can get a quick data sample, profile the data based on the different data types, and ensure the integrity of the data within the data product. In the case of Snowflake tables, data quality assessments are pushed down into Snowflake to optimize compute operations.
  • Data product lineage and impact analysis allow users to trace the origins and transformations of data products. Understanding where the data came from and how it changed along the data pipeline enhances data trust and brings more transparency for data consumers.
  • Integrated data catalog experience means that data products can be composed of datasets that are registered in the Qlik Talend Cloud catalog, streamlining the workflow for data product teams without requiring any additional tools.
  • Data product access control through managed spaces simplifies access control for data products, emphasizing easy data sharing with data consumers within the Qlik Talend Cloud environment.
  • Data product lifecycle management enables data product teams to treat data products just like real products, composing them from relevant datasets, evaluating data quality, assigning ownership, managing data product attributes (such as description, tags, and more), and launching them for consumption. If a data product no longer meets business needs, it can be deactivated.
  • Data product consumption using Qlik Sense apps allows data consumers to easily load data products into Qlik Sense applications, enabling a seamless transition from data discovery to actionable insights with just a few clicks.

Working with data products

10. Many new SaaS application connectors for Qlik Talend Cloud

In conjunction with the release of new data loading capabilities, we’ve greatly expanded the number of SaaS applications that Qlik Talend Cloud can connect with. From Accelo (Professional Services Automation) to Zift (channel marketing & management), you can now use Qlik Talend Cloud to access data in 100 more applications that are focused on CRM & Sales, Communication & Messaging, E-Commerce, Finance & Accounting, Marketing & Advertising, Project Management & Collaboration, Social Media and more.

11. Capacity-based pricing model extended to new Qlik Talend Cloud release

Qlik’s Capacity-based pricing model, which was initially launched in 2023 for Qlik Cloud, has now been extended to cover the Qlik Talend Cloud set of offerings as well. Qlik Talend Cloudcomes in four editions: Starter, Standard, Premium and Enterprise.

For more information on these editions, please visit our new pricing page at Data Integration and Quality Pricing.

Customers can choose an edition based on the capabilities they need and commit to the required capacity for that edition. The primary value metrics relevant to Qlik Talend Cloudinclude Data Moved, Job Executions and Job Duration. Customers subscribing to one of these editions will have the option to monitor their entitlements and corresponding usage through the Data Capacity Reporting App.

Qlik Cloud June 2024: what’s new – read here.

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