Data Warehouse Automation

Expedite and simplify the data warehouse lifecycle for quicker time to insights.

The Qlik Data Integration platform streamlines the entire data warehouse lifecycle, accelerating the availability of data that’s ready for analytics. This empowers data engineers to swiftly construct data models, incorporate new sources, and set up fresh data marts. Data warehouse automation (DWA) guarantees a successful journey across all stages, from data modeling and real-time data ingestion to the establishment of data marts and governance.


Delivering Agile Data Warehouse

Rapid design, deployment, and management without coding.

Real-time data ingestion and update

Change data capture serves as a real-time foundation for expediting the transfer of data to your warehouse from a diverse range of heterogeneous databases, data lakes, and enterprise sources such as mainframe and SAP. Benefit from:

  • Real-time change data capture streams
  • Compatibility with universal sources, targets, and platforms
  • Comprehensive enterprise-level monitoring and control
  • Log-based change data capture
  • A lightweight architecture with no footprint
  • Optimization for cloud environments
 

Automated and continuous refinement

Qlik offers a contemporary method for enhancing the creation and management of data warehouses. Our approach involves automating the design of the warehouse, generating ETL code, and implementing updates, all while adhering to industry best practices. This significantly reduces the time, expenses, and potential risks associated with achieving the objectives of an agile data warehouse:

  • An intelligent, model-driven workflow
  • Automated ETL, field set, and data mart script generation
  • Efficient change management and deployment processes

Trusted, enterprise-ready data

Provide a secure, enterprise-level data catalog that encompasses all data within your organization, regardless of its location. This gives business users access to a unified data marketplace where they can easily discover, comprehend, and utilize various enterprise data sources for valuable insights:

  • A smart, integrated data catalog
  • Robust security and governance features
  • Promotes collaboration between IT and business teams

Paccar – Sourcing All Data Into One Data Lake with Snowflake and Qlik