Data Lakehouse Development and Operations
Data lakehouses combine the cost-effective storage and flexibility of data lakes with structured query capabilities of traditional data warehouses. However, implementing this architecture typically requires managing multiple tools, complex configurations, and custom integrations.
Simplified and scalable implementation
Agile Data Engine simplifies data lakehouse implementation with an integrated DataOps platform that handles the entire lifecycle of a lakehouse. From data modeling and transformation design to automated deployment and continuous monitoring and improvement. Teams can focus on delivering business value rather than wrestling with complex infrastructure setup and operations.
Agile Data Engine enables you to build and operate a successful and scalable data lakehouse. It does this by ensuring consistent and repeatable processes that reduce manual errors and accelerate time-to-value.
Enterprise-ready data operations
Unlike traditional approaches requiring separate tools for orchestration, monitoring and governance, Agile Data Engine provides lakehouse implementation and management through metadata-driven automation.
DataOps platform includes continuous delivery, automated data lineage tracking, built-in data quality testing, and performance monitoring—all essential for enterprise-grade lakehouse implementations.
The result is a data lakehouse that delivers on its promise: supporting diverse workloads from business intelligence to machine learning while maintaining the governance and reliability standards that enterprises require.
How Agile Data Engine simplifies lakehouse operations
Unified development quality
Agile Data Engine enables data engineers to develop with standardized and consistent practices. No more custom scripts, manual deployments, or wondering whether your changes will break production.
Automated infrastructure management
The platform removes the operational complexity of lakehouse architecture. Data team can focus on designing valuable data products instead of integrating disparate tools and maintaining infrastructure.
Optimized for modern cloud platforms
Agile Data Engine works seamlessly with leading cloud data platforms, including deep integration with Databricks SQL for high-performance analytics workloads. Multi-cloud deployment capabilities allow also hybrid environments.
Key capabilities
- Integrated data modeling with automated schema evolution
- Low-code transformation design with SQL generation
- Built-in CI/CD for continuous deployments and automated schema changes
- Intelligent workflow generation based on metadata
- Automatic data lineage across data products
- Reliable data pipelines with built-in error handling
- Continuous data quality testing with configurable rules
Data Vault Automation
Accelerate resilient data warehouse development with automated Data Vault modeling and standardized transformations—delivering the agility, traceability, and scalability Data Vault methodology was designed for. Agile Data Engine was developed with input from experienced Data Vault professionals and is fully aligned with Data Vault 2.0 principles.