With its Antares iDL reference architecture and proven implementation methodology, customized to meet customer requirements, Starschema provides scalable data lake solutions to serve a wide variety of enterprise use cases.
Starschema Antares iDL™
Organizations that collect, process, and analyze large amounts of data often face two major constraints in meeting their business objectives. First, the data is often housed on-premises, and second, the data tends to be stored, processed, and analyzed in siloed databases. These challenges result in higher operational costs and poor performance. Forward-looking companies are harnessing the power of cloud-based data lakes to reduce costs, support digital transformation across the organization, democratize access to the data, make their teams more productive, and build competitive advantage from deeper and quicker insights.
Starschema Antares iDL™
Key Benefits
Increased scalability
Better performance
Reduced maintenance
Architecture

Multi-speed layers

Unlike data lake designs with a homogenous storage layer, the Antares iDL™ design supports a variety of use cases. Three data lake layers provide differentiated access speed/data velocity, for different purposes. This allows usage- and need-dependent resource utilization while delivering the required speed of access to all customers, creating a uniquely powerful tool for the democratization of data access within the enterprise.
The Starschema difference
Proven onboarding methodology
Experience in large environments
Platform agnostic
Tools-based approach
Complete data lifecycle management
Flexible service models
Ask the Expert

Lead Architect
Anjan Banerjee, a lead architect at Starschema, works with cloud technologies and data warehouses. He has extensive experience in building data orchestration pipelines, designing multiple cloud-native solutions, and solving business-critical problems for many multinational companies. He applies the concept of infrastructure as code as a means to increase the speed, consistency, and accuracy of cloud deployments. Anjan holds frequent training sessions on data munging and various self-service analytics/transformation tools like Talend and Alteryx.
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