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:
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Loading and ingesting data to a centralized data warehouse.
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Data mining.
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Automated creation of data for analytics in the cloud.
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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.
Connecting to data sources
You can connect to a large number of data sources to onboard data to a cloud platform.
Onboarding data
Transfer data continuously from a wide range of sources to your cloud data store.
Registering data that is already on the data platform
You can register data that already exists on the data platform. This lets you use data that is onboarded with other tools.
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 datasets.
Qlik Cloud Data Integration videos
Watch some of our short videos to get started integrating data.