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Integrating data

Qlik Cloud Data Integration provides the ability to create data pipelines to perform a variety of data integration tasks in support of your data architecture and analytics requirements. Onboarding data lets you automate incremental data movement, and use delayed merges to reduce costs. You can leverage real-time, log-based change data capture with secure connection to on-premises data sources behind firewalls, or use full load capabilities for SaaS data sources. Once you have onboarded data, you can apply transformations for fit-for-purpose output, or automate patterns like data mart facts and dimensions. External views and live views are generated for data consumption. Qlik Cloud Data Integration also generates a full type 2 historical data store (HDS).

The refined data output from Qlik Cloud Data Integration can be used for many purposes:

  • Loading and ingesting data to a centralized data warehouse.

  • Data mining.

  • Automated creation of data for analytics in the cloud.

  • Modernization of your data repository to support Machine Learning and other initiatives.

Introducing Qlik Cloud Data Integration

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

Creating a data pipeline in a data project

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

Onboarding data

Transfer data continuously from a wide range of sources to your cloud data store.

Transforming data

Create reusable row-level transformations based on rules and custom SQL.

Creating and managing data marts

Create automated data marts to leverage your generated and transformed data assets.

Qlik Cloud Data Integration videos

Watch some of our short videos to get started integrating data.

Qlik Sense Enterprise SaaS Government noteQlik Sense Enterprise SaaS - Government (US) users cannot use Qlik Cloud Data Integration.