July 16, 2024: What’s New in Qlik Cloud?

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.

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:

• Replication tasks (Replication project)

  Refreshing metadata

• Lake landing tasks (Replication project)

  Refreshing metadata

• Landing tasks (Pipeline project)

  Refreshing metadata

• Registered data tasks (Pipeline project)

  Refreshing metadata

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.

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 Integration and 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).

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.

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

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.

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 Cloud comes 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 Cloud include 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 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

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