Data Warehouse Modernization

Achieve Data Warehouse Modernization by streamlining and automating processes from end to end.

Data Warehouse Modernization allows the current Data Warehouse environment to meet ever-changing business requirements, give support for new data sources, and quickly iterate new solutions; supporting your company’s data initiatives and strategies.    

Highlights    

• Faster data warehouse implementation by enabling data warehouses and data marts to be built much more quickly than traditional ETL tools. Design automation enable structures to be quickly defined and deployed.
• Rapid ETL processing makes it easy to iterate and update data warehouse solutions, aligning them more easily with the needs of IT and LOB teams. 
• Process optimization accelerates rollouts and updates, with easy-to-use tools for developing data warehouse designs and data warehouse implementations.
• Integrate data cleansing with the standardization, de-duplication and correction of business rules.

    
Benefits    

• Quickly design, create, load and update data warehouses.
• Reduce time, costs and risk by automatically generating ETL code.
• Leverage best practices and templates to develop more effective business intelligence projects.
• Minimize dependence on developers to create data warehouses and manage data warehouse modernization.
• Create end-to-end workflow automatically, from ingesting data to generating reports and preparation services to increase data quality and data standardization for long-term organizational success