International Journal of Science, Engineering and TechnologyAuthors: Fatima Zoya
Abstract: The increasing volume and complexity of enterprise data necessitate efficient ETL (Extract, Transform, Load) processes to convert raw information into actionable insights. QlikView and Qlik Sense provide robust ETL capabilities that address diverse organizational needs, from controlled, IT-driven workflows to agile, self-service data preparation. QlikView excels in script-based transformations, in-memory processing, and integration across multiple data sources, making it ideal for guided analytics and legacy environments. Qlik Sense enhances ETL through cloud-native architecture, AI-assisted data transformations, real-time streaming integration, and intuitive self-service tools, enabling business users to participate in data workflows while maintaining governance and security. Both platforms integrate with data lakes, warehouses, and cloud services, supporting scalable, reliable, and high-performance analytics pipelines. This review examines Qlik’s ETL architecture, advanced features, industry applications, best practices, and challenges, providing insights into leveraging these tools to establish efficient, data-driven enterprise environments.
DOI: https://doi.org/10.5281/zenodo.17278043
