Engage Agile Data Warehouse Automation

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Accelerate and simplify data warehouse design, development, testing, deployment, and updates.


2023 Gartner® Magic Quadrant™ for Data Integration Tools

See why Qlik® and Talend® are Leaders in the Gartner Magic Quadrant for Data Integration Tools.

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Gartner® Magic Quadrant™ for Data Integration Tools grid with Qlik and Talend placed in the Leader quadrant

Speed time to analytics

The traditional multi-month, error prone ETL development to set up a data warehouse — typically 60 – 80% of prep time — often means your data model is out of date before the BI project even starts.

To speed time to analytics, you need to streamline data warehouse creation and management lifecycle.

Diagram illustrating data integration and analytics flow. Components include data integration, data warehouse automation, managed data lake creation, data warehouse, governed data catalog, and analytics applications. Click to watch video.

Take a modern approach to data warehousing

Qlik Compose automates designing the warehouse, generating ETL code, and quickly applying updates, and leverages best practices and proven design patterns. You can dramatically reduce the time, cost, and risk of BI projects, on-premises or in the cloud.

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We were looking for a data warehouse automation tool with a visual and mode based approach, as well as one that would reduce the need for our IT team to do large amounts of coding themselves. Qlik Compose is that solution. It has saved and will continue to save us many hours of labor.

René Valencourt

Software and Data Architect, Poly-Wood
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Dramatically reduce time, costs, and risks of data warehousing

  • Quickly design, create, load and update data warehouses

  • Automatically generate ETL to reduce time, costs and risks

  • Implement best practices and templates for more effective BI projects

  • Reduce dependence on highly technical development resources

  • Automatically generate end-to-end workflows from data ingest to report generation

Screenshot of the Qlik Compose interface showing four panels labeled DATABASES, MODEL, DATA WAREHOUSE, and DATA MART, each with progress indicators and management options.

Enjoy intuitive and guided workflows

  • Load and sync data with ease. Source feeds are loaded in real time with change data capture (CDC).

  • Automate data model design and source mapping. Data models can be created or imported, then modified and enhanced iteratively.

  • Streamline data warehouse and ETL generation. ETL code is auto generated to populate and load data warehouses.

  • Deploy data marts without manual coding. Data mart types are selected from a broad array of options including transactional, aggregated, or state oriented.

A screenshot of a data management software displaying the "Manage Data Marts" interface. The screen shows a central node labeled "order_details" connected to other nodes like "customers" and "products". Click to watch video.

Optimize the data warehousing process

  • Workflow Designer and Scheduler: Run data warehouse and data mart ETL tasks as a single, end-to-end process. Schedule the execution of workflows to align with business and IT processes.

  • Lineage and Impact Analysis: Automatically create metadata during design phases or implementation. Re-generate data lineage when changes are implemented.

  • Monitoring and Notification: Monitor the status of all automatically generated tasks and workflows. Send proactive status alerts.

  • Data Profiling: Validate data before it is loaded by identifying and repairing format issues and discrepancies.

  • Data Quality: Configure and enforce pre-loading rules to automatically discover and remediate issues with values, formats, data ranges, and duplication while also implementing exception policies.

Diagram showing Agile Data Warehouse Automation with Qlik Compose, detailing stages: Modeling, Auto Design, Auto Extraction, Complex Transformations, and Change Propagation, from Landing to Marts.

Learn more about Qlik Compose for Data Warehouses today