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Qlik Compose® for Data Warehouses
Dynamic data warehouse automation.
Speed up and streamline the process of designing, developing, testing, deploying, and updating data warehouses.
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Accelerate the time to obtain analytics
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Contemporary methodology for data warehousing
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.
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User-friendly and guided workflow
Qlik Compose for Data Warehouses supports IT teams in the following ways:
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Facilitating the effortless loading and synchronization of data from various sources. Real-time loading of source feeds is accomplished through change data capture (CDC).
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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.
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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.
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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
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