Data Warehouse Automation
description.
Building and modernizing data pipelines and analytical platforms is often a complex, resource-intensive, and continuously evolving challenge. Organizations must coordinate many interconnected activities, including requirements analysis, source system discovery, metadata management, source-to-target mapping, data ingestion, transformation logic, ETL/ELT pipeline development, orchestration, testing, scheduling, documentation, governance, and operational support. Even after successful deployment, evolving business demands, new data products, and cloud modernization initiatives can quickly expose the limitations of traditional development approaches.
This learning lab explores how metadata-driven Data Warehouse Automation tools help organizations accelerate the design, development, extension, and modernization of data warehouses, data marts, and data pipelines - both on-premises and in the cloud. Learn how automated approaches streamline large parts of the end-to-end lifecycle, from source discovery and schema generation to testing, deployment, governance, and operational management.
To demonstrate these concepts in practice, the learning lab includes two live demonstrations of leading automation technologies:
- dbt - showcasing analytics engineering, transformation automation, testing, lineage, documentation, and CI/CD-driven warehouse development
- WhereScape - demonstrating metadata-driven automation for rapid warehouse and Data Vault generation, orchestration, and operational management
Through practical demonstrations, this session showcases Data Warehouse Automation in action and highlights how automation can significantly reduce development effort, accelerate delivery cycles, simplify change management, and improve agility across modern data and analytics platforms.
Why attend
Attendees will learn:
- Core concepts, principles, and best practices of Data Warehouse Automation (DWA)
- The current state and evolution of DWA technologies and platforms
- How metadata-driven automation accelerates the design, development, and evolution of data warehouses, data marts and data pipelines
- Methods for rapidly generating schemas, ETL/ELT processes, and data engineering pipelines
- How automation supports modern data modelling techniques and data mesh implementations
- Approaches for simplifying cloud migration and modernization initiatives using DWA
- How tools like dbt and WhereScape enable rapid development and operational efficiency
- Common implementation pitfalls, lessons learned, and best practices for successful adoption
Who should attend
This learning lab is exclusively intended for data and analytics professionals working at end-user organizations. It is designed for:
- BI and analytics program and project managers
- Data warehouse and data platform architects
- Data integration architects, designers, and developers
- Data engineers and ETL/ELT developers
- Data warehouse operations, maintenance, and support personnel
- Cloud data platform teams and modernization leaders
- Enterprise and technology architects involved in data strategy and governance
Prerequisites
A basic understanding of data management, metadata, data warehousing, data cleansing, and data integration concepts is recommended.
instructor.
Frank Martens
dates & price.
Course
Delivery Method
Dates
Location
Price
Gravinninen van Nassauboulevard 81
4811 BN Breda, Netherlands
pricing.
This learning lab is offered free of charge and is exclusively available to professionals working at end-user organizations in the previously listed roles. As the number of seats is limited, registration is restricted to a maximum of two attendees per company. All registrations will be reviewed and verified before confirmation is provided.
If attendance is no longer possible, cancellation is requested at least 48 hours in advance. A no-show fee of EUR 50 (excluding VAT) will apply to confirmed participants who do not attend and do not cancel in time. The proceeds will be donated to a charitable organization. This policy helps ensure that available seats can be offered to other interested participants.