Qlik Compose
Automation of Data Warehouses, Data Marts, and Lakehouses.
Qlik Compose automates the design, creation, and maintenance of modern data platforms, reducing the amount of manual development and accelerating the delivery of data for analytics, reporting, and artificial intelligence.
Qlik Compose provides a user-friendly environment for building modern data platforms. The platform helps automate key stages in building data warehouses, data marts, and lakehouses, reducing the amount of manual development and simplifying solution maintenance.
▪️ Real-time data loading and synchronization using CDC
▪️ Automated data model design and data source mapping
▪️ Creation or import of data models with the ability for further development and refinement
▪️ Automatic generation of ELT processes for data loading and transformation
▪️ Building data marts for analytics and reporting
Qlik Compose works in conjunction with Qlik Replicate to automate data preparation after it is ingested from operational systems and business applications. The platform helps reduce the time, costs, and risks associated with building and maintaining modern data platforms for analytics and AI.
▪️ Reduced time required to build and maintain data platforms
▪️ Less manual development and maintenance of ELT processes
▪️ Use of proven architectural patterns and best practices
▪️ Reduced reliance on highly specialized technical resources
▪️ Rapid implementation of changes as business requirements evolve
▪️ Automation of end-to-end processes, from data integration to analytics and reporting
For the tenth consecutive year, Qlik has been recognized as a leader in Gartner’s “Magic Quadrant” in the “Data Integration Tools” category.
This confirms the platform’s effectiveness in addressing modern challenges related to data integration, management, and delivery for analytics and artificial intelligence.
Automatic Data Warehouse Creation
Generate data models, tables, and load processes without manual programming.
Automatic Data Mart Creation
Quickly create thematic data showcases for business units.
ELT Transformations Using SQL Push-Down
Utilizing the target platform's computing resources to ensure maximum performance.
No-Code Visual Transformations
Create data pipelines using a graphical interface without writing code.
SQL for Professionals
The ability to use custom SQL transformations for complex data processing scenarios.
Historical Tracking of SCD Type 2 Data
Automatic tracking of changes to reference data and business entities.
Integration with CDC
Continuous real-time data updates using Qlik Replicate.
Support for Modern Data Platforms
Snowflake, Databricks, Microsoft Fabric, Google BigQuery, Amazon Redshift, and other modern platforms.
Data Storage ModernizationThe transition from complex manual development processes to the automated creation of modern data warehouses.
Building a Data MartAutomation of the creation of business dashboards for finance, sales, logistics, procurement, and other areas.
Construction LakehouseCreating a modern data architecture for working with structured and unstructured data.
Data Preparation for AnalyticsCreating a single source of reliable data for business analytics, reporting, and self-service analytics.
Data Preparation for AIBuilding a high-quality foundation for machine learning, generative AI, and RAG solutions.
Reduced development timeAutomation of routine tasks in data engineering and rapid implementation of new data models.
Data Storage ModernizationThe transition from complex manual development processes to the automated creation of modern data warehouses.
Building a Data MartAutomation of the creation of business dashboards for finance, sales, logistics, procurement, and other areas.
Construction LakehouseCreating a modern data architecture for working with structured and unstructured data.
Data Preparation for AnalyticsCreating a single source of reliable data for business analytics, reporting, and self-service analytics.
Data Preparation for AIBuilding a high-quality foundation for machine learning, generative AI, and RAG solutions.
Reduced development timeAutomation of routine tasks in data engineering and rapid implementation of new data models.
Qlik Compose – Data Warehouse Automation and Lakehouse Development in Azerbaijan
Building a modern analytics platform requires more than moving data between systems. Organizations also need a reliable way to model, transform, and organize data for reporting, business intelligence, and AI.
Qlik Compose is a Data Warehouse Automation platform that simplifies the creation of Data Warehouse, Data Mart, and Lakehouse environments. By automating data modeling and ETL/ELT development, it enables organizations to deliver trusted analytical data faster while reducing manual effort.
Accelerate Data Warehouse Development
Traditional data warehouse projects often involve months of manual SQL coding, ETL development, schema maintenance, and continuous redesign as business requirements evolve.
Qlik Compose replaces much of this manual work with an automated, model-driven approach. The platform generates database structures, transformation logic, loading processes, and documentation while keeping the entire architecture synchronized as changes occur.
As a result, data engineering teams spend less time maintaining infrastructure and more time delivering value to the business.
A Unified Platform for Modern Data Architectures
Organizations rarely rely on a single analytical environment. Business users need centralized historical storage, department-specific datasets, and scalable cloud platforms for advanced analytics.
Qlik Compose supports all of these scenarios by automating the development of:
- Enterprise Data Warehouse
- Departmental Data Mart
- Modern Lakehouse architectures
The platform integrates with leading cloud technologies including Snowflake, Databricks, Microsoft Fabric, Google BigQuery, Amazon Redshift, and Apache Iceberg, helping organizations modernize their analytics ecosystem without rebuilding everything from scratch.
Working Together with Qlik Replicate
Qlik Compose is designed to complement Qlik Replicate.
While Qlik Replicate continuously captures and transfers data from ERP, CRM, databases, and business applications using Full Load and Change Data Capture (CDC), Qlik Compose transforms that information into business-ready analytical models.
Together they provide an automated pipeline from operational systems to analytics, dashboards, and AI applications.
Typical Business Scenarios
Organizations in Azerbaijan use Qlik Compose to accelerate digital transformation initiatives and reduce the complexity of enterprise data projects.
Typical use cases include modernizing legacy data warehouses, implementing cloud analytics platforms, automating ETL and ELT development, building Data Marts for business departments, supporting AI initiatives, and creating scalable Lakehouse environments capable of handling continuously growing data volumes.
Benefits of Qlik Compose
Instead of maintaining hundreds of manually developed ETL processes, organizations can standardize and automate data engineering across the enterprise.
Qlik Compose helps companies:
- reduce Data Warehouse development time;
- simplify ELT maintenance;
- improve consistency across analytical models;
- adapt faster to changing business requirements;
- lower long-term development costs;
- accelerate BI and AI initiatives.
Qlik Compose Implementation in Azerbaijan
RBC Group provides Qlik Compose implementation services in Azerbaijan, helping organizations build scalable, automated data platforms for analytics and artificial intelligence.
Our services include architecture assessment, Data Warehouse design, Qlik Compose implementation, integration with Qlik Replicate and enterprise systems, cloud migration, knowledge transfer, user training, and ongoing technical support.
Whether you are building a new analytics platform or modernizing an existing one, we help deliver a faster, more manageable, and future-ready data architecture.
Contact RBC Group to learn how Qlik Compose can automate your Data Warehouse, Data Mart, and Lakehouse projects in Azerbaijan.
