Qlik Compose® For Data Warehouses
Embrace Agile Data Warehouse Automation to streamline and optimize your data warehousing processes. Accelerate and simplify data warehouse design, development, testing, deployment, and updates.
Accelerate Time to Analytics
Traditional multi-month ETL development for data warehouse setup, which typically consumes 60 – 80% of preparation time, often results in data models becoming outdated before BI projects even commence.
To expedite time to analytics, it’s crucial to streamline the data warehouse creation and management lifecycle, ensuring that your data remains relevant and up-to-date for BI initiatives.
2023 Gartner® Magic Quadrant™ for Data Integration Tools
See why Qlik® and Talend® are Leaders in the Gartner Magic Quadrant for Data Integration Tools.
Adopt a Modern Data Warehousing Approach
Qlik Compose offers a modern approach to data warehousing by automating the design of the warehouse, generating ETL code, and efficiently applying updates. It leverages best practices and proven design patterns to significantly reduce the time, cost, and risk associated with BI projects, whether deployed on-premises or in the cloud.
Achieve Significant Reductions in Data Warehousing Time, Costs, and Risks
Experience a dramatic decrease in the time, costs, and risks associated with data warehousing with the following benefits:
– Rapid Design and Deployment: Quickly design, create, load, and update data warehouses.
– ETL Automation: Automatically generate ETL processes to minimize time, costs, and risks.
– Best Practices Implementation: Implement best practices and templates for more effective BI projects.
– Reduced Technical Dependence: Decrease reliance on highly technical development resources.
– Automated Workflows: Automatically generate end-to-end workflows, covering data ingestion to report generation, for seamless operations.
Experience Intuitive and Guided Workflows
Streamline your data processes with ease using intuitive and guided workflows. Here’s what you can achieve:
– Real-Time Data Loading: Load and sync data effortlessly, with source feeds loaded in real-time using change data capture (CDC).
– Automated Data Model Design: Automate data model design and source mapping. Create or import data models and enhance them iteratively.
– ETL Code Generation: Streamline data warehouse and ETL generation by automatically generating ETL code to populate and load data warehouses.
– Manual Coding-Free Data Marts: Deploy data marts without the need for manual coding. Select data mart types from a wide array of options, including transactional, aggregated, or state-oriented, for enhanced flexibility and efficiency.
Optimize the Data Warehousing Process with These Features:
1. Workflow Designer and Scheduler: Run data warehouse and data mart ETL tasks seamlessly as a single, end-to-end process. Schedule workflows to align with both business and IT processes.
2. Lineage and Impact Analysis: Automatically generate metadata during design phases or implementation, and re-generate data lineage when changes are made.
3. Monitoring and Notification: Keep track of the status of all automatically generated tasks and workflows, and receive proactive status alerts.
4. Data Profiling: Ensure data quality by validating data before loading it. Identify and rectify format issues and discrepancies.
5. Data Quality: Configure and enforce pre-loading rules to automatically detect and resolve issues related to values, formats, data ranges, and duplication. Implement exception policies to handle data quality challenges effectively.
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