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.
Key features
Flexible, scalable architecture
The Antares iDL™ data lake reference architecture provides the flexibility to process both structured
data coming from traditional SQL databases and semi-structured/unstructured data ingested from
IoT devices, logs, and documents without a fixed format.
Security and compliance by design
The Starschema Antares iDL™ architecture, designed ‘compliance first’, can perform
anonymization on the fly for the entire data set and uses strict identity and access management
(IAM) that enables administrators to govern who has access to what data. A web-based interface
allows data consumers to easily configure their anonymization requirements.
Tools-based optimization
Starschema leverages multiple, proprietary tools to better integrate and optimize data lake
components ensuring faster processing of massive data sets.
Data Management
The Antares iDL™ design incorporates data catalog tools like Amazon Glue Catalog that
dramatically reduces data discovery times through automating much of the effort in building,
maintaining, and running ETL jobs.
Automation, DevOps and Application Lifecycle Management
Built for the enterprise, Starschema Antares iDL™ leverages DevOps best practices. With agile
processes built-in, integrated CI/CD tools and a distributed Source Code Management (SCM)
system storing configurations for all application building blocks, Starschema Antares iDL™
ensures consistency through efficient distributed metadata management and built-in developer
tools that seamlessly integrate with existing ITSM/IDM systems.
