Advanced Data Warehouse Automation with WhereScape

This free learning lab explores advanced Data Warehouse Automation techniques using WhereScape, with a focus on template management and cloud migration strategies. Through practical examples and live exercises, the session demonstrates how to optimize reusable templates and accelerate the migration and modernization of legacy data warehouses to cloud platforms.

Advanced Data Warehouse Automation with WhereScape

description.

This learning lab explores how Data Warehouse Automation (DWA) using WhereScape can accelerate the modernization, extension, and migration of enterprise data platforms. Rather than focusing basic tool usage or product demonstrations, the session concentrates on advanced automation concepts such as template management and cloud migration strategies.

A key focus of the learning lab is template management within WhereScape. Templates provide the foundation for the standardized and automated generation of data models, ETL/ELT processes, documentation, and operational components. As business requirements and data architectures evolve, template customization and maintenance can become increasingly complex. Through practical examples and real-world scenarios, this session provides best practices, tips, and proven techniques for effectively managing, extending, and optimizing WhereScape templates while maintaining flexibility, consistency, scalability, and operational efficiency.

The learning lab also examines how WhereScape automation capabilities can help organizations migrate legacy on-premises data warehouses to modern cloud platforms. Many enterprise data warehouses have evolved over decades and include large numbers of source systems, dependent data marts, complex integrations, and extensive BI usage. Through practical examples, the session demonstrates how metadata-driven automation can simplify, accelerate, and de-risk migration initiatives while supporting the modernization of existing data architectures.

 

Why attend

Attendees will learn:

  • Advanced template management and customization within WhereScape
  • Best practices for building and maintaining reusable automation templates
  • How to manage increasing template complexity while maintaining flexibility, consistency, and scalability
  • Practical approaches for extending and optimizing templates for Data Vault environments
  • Strategies for modernizing and migrating legacy data warehouses to cloud platforms
  • Approaches for simplifying, accelerating, and de-risking cloud migration initiatives using metadata-driven automation
  • How WhereScape automation capabilities support modernization and migration of legacy data warehouses to the cloud

 

Who should attend

This learning lab is exclusively intended for data and analytics professionals working at end-user organizations using WhereScape. 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 warehousing, data modeling, ETL/ELT processes, and cloud data platform architectures is recommended. Basic experience with WhereScape and familiarity with data warehouse automation or migration initiatives will be beneficial for getting the most value from this learning lab.

instructor.

Frank Martens

Frank Martens is a Senior Consultant Data & Analytics at Quest for Knowledge, specializing in Data Management, Business Intelligence (BI), and Process Mining. With over 15 years of experience, he designs and implements BI and analytics solutions with a strong sense of enthusiasm, combining traditional BI frameworks with modern data technologies.
 
Frank leads the data automation initiative within Quest for Knowledge, driving innovation and efficiency in data and analytical processes for clients. He has extensive technical expertise in ETL/ELT, Data Warehousing, Data Quality and Profiling and Data Governance. His skillset also includes data visualization, dashboarding, reporting, self-service BI, and defining and tracking Key Performance Indicators (KPIs).
 
Beyond the technical domain, Frank has significant experience in information analysis, designing data architectures, and deploying end-user applications. He has worked in agile/scrum teams in various roles, including product owner and developer. Additionally, he is a certified and seasoned trainer in SAP Data management & Analytical tools.

dates & price.

Course

Delivery Method

Dates

Location

Price

Advanced Data Warehouse Automation with WhereScape
Learning Lab
4 hours
10 Dec - 10 Dec '26
Show Class Times
12:30 - 16:30 (CET)
Breda
Show Address
quest for knowledge
Gravinninen van Nassauboulevard 81
4811 BN Breda, Netherlands
EUR
0

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. 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.