Qlik Compose® for Data Warehouses

Dynamic data warehouse automation.

Speed up and streamline the process of designing, developing, testing, deploying, and updating data warehouses.

Accelerate the time to obtain analytics

Conventional approaches to constructing and overseeing data warehouses struggle to meet the evolving demands of businesses. The lengthy and error-prone Extract, Transform, Load (ETL) development process, consuming a significant portion (usually 60-80%) of preparation time, frequently results in an outdated data model before the commencement of a Business Intelligence (BI) project. Modifying these fragile data warehouses leads to further delays, ties up valuable resources, and postpones the return on investment (ROI) for the project.

To expedite the journey to analytics, it is imperative to enhance and streamline the entire lifecycle of data warehouse creation and management wherever feasible.

Contemporary methodology for data warehousing

Qlik Compose for Data Warehouses introduces a contemporary strategy by automating and enhancing the creation and operation of data warehouses. It automates the design of the warehouse, generates ETL code, and efficiently implements updates, all while incorporating best practices and established design patterns. Qlik Compose for Data Warehouses significantly diminishes the time, cost, and risk associated with Business Intelligence (BI) projects, whether they are conducted on-premises or in the cloud.

Dynamic data warehouse automation

Significantly decrease the duration, expenses, and uncertainties associated with data warehousing projects.

  • Swiftly devise, construct, load, and update data warehouses.
  • Automatically produce ETL processes to minimize time, costs, and risks.
  • Incorporate best practices and templates for enhanced Business Intelligence (BI) projects.
  • Lessen reliance on highly technical development resources.
  • Automatically generate comprehensive workflows from data ingestion to report generation.

User-friendly and guided workflow

Qlik Compose for Data Warehouses supports IT teams in the following ways:

  • Facilitating the effortless loading and synchronization of data from various sources. Real-time loading of source feeds is accomplished through change data capture (CDC).

  • Automating the design of data models and the mapping of sources. Data models can be either created from scratch or imported, with the flexibility to be modified and enhanced iteratively.

  • Streamlining the generation of data warehouses and Extract, Transform, Load (ETL) processes. The auto-generation of ETL code facilitates the population and loading of data warehouses.

  • Enabling the deployment of data marts without manual coding. Users can choose from a diverse range of data mart types, including transactional, aggregated, or state-oriented options.

Enhance the efficiency of the data warehousing procedure

Key operational capabilities encompass:

  • Workflow Design and Scheduling: Execute all ETL tasks for data warehouses and data marts seamlessly in a unified end-to-end process. Schedule workflow execution to align with both business and IT processes.
  • Lineage and Impact Analysis: Automatically generate metadata during design phases or implementation. Update data lineage when changes are implemented.
  • Monitoring and Notification: Keep track of the status of all tasks and workflows generated automatically. Receive proactive status alerts.
  • Data Profiling: Validate data before loading by identifying and rectifying format issues and discrepancies.
  • Data Quality: Establish and enforce pre-loading rules to automatically detect and address issues related to values, formats, data ranges, and duplication, while also implementing exception policies.