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.
Automated creation of data for analytics in the cloud.
Modernization of your data repository to support Machine Learning and other initiatives.
Introducing the concepts and building blocks of Qlik Cloud Data Integration.
Create a data pipeline to automate, orchestrate, and monitor end-to-end transformation.
You can connect to a large number of data sources to onboard data to a cloud platform.
Transfer data continuously from a wide range of sources to your cloud data store.
You can register data that already exists on the data platform. This lets you use data that is onboarded with other tools.
Create reusable row-level transformations based on rules and custom SQL.
Create automated data marts to leverage your generated and transformed datasets.
Watch some of our short videos to get started integrating data.