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Welcome to Qlik Cloud help

Thank you for choosing Qlik Cloud.

Qlik Cloud closes the gaps between data, insights, and action with active intelligence delivered by the only end-to-end solution for data integration and analytics. It can transform your business through a shared fabric of trusted, real-time data, collaborative analysis, and actionable insights.

This documentation set introduces and explains how to take advantage of the Qlik Cloud solution. It is task-based and organized based on the needs of the different user roles. It also includes tutorials, examples, and technical information.

Getting started and learning options

Qlik technical documentation contains examples, tutorials, and troubleshooting for all skill levels for any stage of your journey.

Introducing Qlik Cloud

Qlik Cloud is a data integration and analytics cloud platform built for Active Intelligence. It offers data integration and analytics services that can be used together or independently

What's new

Review the What's new page to better understand how you can get even more out of your investment in Qlik Cloud.

Analyzing data

Using analytics to explore data

Qlik Cloud Analytics offers industry-leading modern analytics capabilities across a full range of users and use cases — from self-service analytics to interactive dashboards and applications, conversational analytics, custom and embedded analytics, mobile analytics, reporting and alerting.

Creating analytics and visualizing data

Qlik Cloud Analytics Services provides tools to create powerful analytics and data visualizations. The apps you build set the foundation on which app users can visualize data and make discoveries.

Loading and modeling analytics data

Data management depends on how data is sourced and what level of related maintenance is required. You connect to a data source before creating visualizations in an analytics app.

Delivering data and lineage for analytics

Qlik Cloud provides tools for loading on-premises data sources and lineage metadata to help users visualize, understand, and scale their cloud platforms.

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Integrating data

Introducing Data Integration

Introducing the concepts and building blocks of Qlik Cloud Data Integration.

Data spaces - what are they?

Data spaces are governed areas of your Qlik Cloud tenant that are used to create and store data projects.

Connecting to data sources

Data connections are used to let data assets access data sources, and external storage and cloud data warehouses used in a data project.

Creating a data pipeline

Create a data pipeline to automate, orchestrate, and monitor end-to-end transformation.

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Building automations

Qlik Application Automation provides a no-code visual interface that helps you easily build automated analytics and data workflows. An automation is a sequence of actions and triggers that runs like a program. It can be a simple workflow that collects information from one application and passes it to another, or it can be an end-to-end pipeline that takes you from raw data to active intelligence. Automations let you automate your analytics environment, create data-driven workflows, and embed data and analytics into your business processes.

For more information, see Qlik Application Automation.

Machine learning

Automated machine learning finds patterns in your data and uses them to make predictions on future data. Machine learning experiments in the Qlik Cloud hub let you collaborate with other users and integrate your predictive analytics in Qlik Sense apps. In addition to making predictions, you can do an in-depth analysis of the key features that influence the predicted outcome.

For more information, see Machine learning with Qlik AutoML.

Programmatically extending Qlik Cloud

Use Qlik Cloud APIs and tools to build, extend and deploy custom data-driven applications. You can also build mashups, create apps and visualizations on the fly, or embed rich and engaging analytics into your applications. To learn how to start using Qlik Cloud APIs or to consult API reference documentation, visit the Qlik Developer portal.

Deploying and administering Qlik Cloud

Qlik Cloud administrators are responsible for deploying, configuring, and managing the Analytics Services and Data Services subscriptions and environment. The Qlik Cloud environment offers centralized management and governance and helps to ensure user adoption, accuracy, and system reliability.

For more information, see Deploying and administering Qlik Cloud.

Other Qlik solutions

If you’re looking for assistance with Qlik client-managed analytics solutions (on-premises), here are some direct links to other Qlik solutions.

To see all Qlik client-managed solutions, visit the Qlik Help home page .

If you’re moving to Qlik Cloud from QlikView or Qlik Sense Enterprise on Windows (client-managed), review the information in Moving from QlikView to Qlik Sense SaaS or Moving from client-managed Qlik Sense to Qlik Sense SaaS. Both sections provide information for users and administrators to quickly get up to speed in the new Qlik Cloud environment.

About Qlik

Qlik helps enterprises around the world move faster, work smarter, and lead the way forward with an end-to-end solution for getting value out of data. Our platform is the only one on the market that allows for open-ended, curiosity-driven exploration, giving everyone – at any skill level – the ability to make real discoveries that lead to real outcomes and transformative changes. And you get the freedom to use our cloud or any cloud you choose.

For more information about Qlik, our people, and news, see About Qlik.