WhereScape.
Quest for Knowledge has been at the forefront of innovative data practices for more than two decades, working with thought leaders such as Ralph Kimball to bring proven methodologies to the Benelux and Sweden. Today, our partnership with WhereScape further strengthens our ability to deliver fast, reliable, and scalable data automation solutions.
solutions and offerings.
Designing Data Architectures That Adapt as You Evolve - Our Key Takeaways
Frank Martens, our Lead Data Automation Consultant, recently participated as a panelist in a WhereScape webinar on designing data architectures that can evolve with changing business needs. The panel discussed topics including architectural adaptability, data modeling methodologies, automation, metadata management, and future-proof data platform design. Here are our key takeaways from the discussion.
Advanced Data Warehouse Automation with WhereScape - Free Learning Lab
This 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.
Using Data Automation to Migrate Your Data Warehouse to the Cloud
Cloud-native data architectures are rapidly becoming the standard, but for many organizations, legacy data warehouses remain the bottleneck. Traditional migration approaches are often slow, brittle, and manually intensive - particularly when porting complex ETL jobs and schema logic. This is where Data Warehouse Automation (DWA) becomes a game-changer. If you're a data engineer tasked with modernizing infrastructure, here’s what you need to know about automating your DW migration.
Automate Your Snowflake Data Warehouse
Snowflake provides the platform. Data Warehouse Automation accelerates and automates data warehouse development. Together they create a metadata-driven data platform that dramatically reduces manual development while improving governance and consistency.
Beyond ETL and ELT: The Broader Power of Data Warehouse Automation
Although ELT is a more advanced approach compared to ETL, both data movement solutions only address a limited portion of the data warehousing lifecycle. As a result, organizations must depend on various disparate tools to support the numerous other aspects of designing, developing, deploying, documenting, and operating their data warehouses and other data infrastructure.
Modern Data Architecture
This course, taught by industry expert Mike Ferguson, explores how modern data architectures enable integrated analytics, data engineering, and AI at scale. It covers architectural approaches such as Lakehouse, Data Mesh, and Data Fabric, and provides practical guidance on designing, implementing, and evolving a future-ready data platform.
Data Platform Automation - Free Learning Lab
This complimentary half-day learning lab explores how Data Platform Automation and metadata-driven automation approaches help simplify and accelerate the design, development, modernization, and management of modern data platforms, including data warehouses, lakehouses, data pipelines, and other data platform components.
What is Data Warehouse Automation and What Does It Mean for Your Analytics Team?
In simple terms, data warehouse automation is the process of automating data warehouse design, development, deployment, and maintenance. This process replaces traditional manual methods with automated ones, speeding up the entire data warehousing process and eliminating manual coding.
Data Catalogs
This course, taught by industry expert Mike Ferguson, provides a comprehensive deep dive into data catalogs and their role in modern data governance, data engineering, and AI. Learn how catalogs support reusable data products, data marketplaces, and enterprise knowledge graphs for AI-driven use cases.
For more than 25 years, WhereScape has been a pioneer in data automation, helping organizations accelerate the delivery of modern data platforms. Read on to understand how the WhereScape RED, WhereScape3D, and WhereScape Data Vault Express (DVE) products simplify the design, development, and governance of modern data platforms - and how these products work together to deliver faster, more reliable data solutions.
WhereScape explained.
WhereScape automates the design, development, and deployment of data warehouses, data marts, data lakes, and Data Vault solutions—helping organizations deliver faster and adapt to change with confidence.
In this short video, you'll see how metadata-driven automation enables you to evolve your data platform without rebuilding it from scratch.
In less than two minutes, you'll learn how WhereScape helps you:
Accelerate development through automated code generation, orchestration, and documentation
Deliver AI-ready data for analytics, machine learning, and AI initiatives
Adapt quickly to changing business requirements through regeneration rather than redevelopment
Simplify migration to new cloud and data platforms
Embed governance, lineage, and auditability by design
Integrate with existing DevOps and CI/CD processes while optimizing performance and cost
from discovery to deployment.
One integrated platform, built around three complementary products. Use WhereScape 3D for discovery and design, WhereScape RED for ELT generation and orchestration, and optionally extend your platform with DVE for Data Vault implementations - all connected through shared metadata, templates, and automation.
discover: inventory & profile.
Connect to source systems, scan schemas, and profile data. Capture metadata and lineage to create a trusted foundation for faster onboarding and informed design decisions.
design: model & standardize.
Use WhereScape 3D to design physical data models and apply templates, naming conventions, and transformation standards that generate deployable patterns for WhereScape RED and target platforms.
develop: generate & orchestrate.
Use WhereScape RED to automate ELT generation, orchestration, and documentation. Manage environments, dependencies, and version changes through integrated automation and version control.
deploy: promote with control.
Automate deployments across development, test, and production environments using repeatable release workflows. Maintain governance, lineage, and alignment with CI/CD practices.
operate: monitor & govern.
Monitor schedules, recover from failures, and maintain SLA performance. Leverage metadata, lineage, and automated documentation to support governance, troubleshooting, and collaboration.
enhance: evolve with confidence.
Adapt quickly to changing business requirements through standardized patterns, impact analysis, and controlled refactoring — enabling rapid scaling without disrupting production environments.
choose the right product.
Choose the right tool for your data platform needs. WhereScape 3D supports discovery and design, WhereScape RED automates ELT, orchestration, and documentation, while WhereScape Data Vault Express (DVE) extends the platform with Data Vault 2.0 automation. Together, they provide an integrated approach to fast, scalable, and maintainable data delivery.
WhereScape 3D
Accelerate data discovery and design by profiling source systems, importing metadata, and generating deployable patterns for WhereScape RED.
WhereScape RED
Automate ELT development, orchestration, and documentation to build and manage data warehouses and pipelines faster - with minimal hand-coding.
WhereScape DVE
Automate Data Vault development with template-driven generation of hubs, links, satellites, and loading processes - delivering consistency, speed, and auditability.
supported platforms.
WhereScape works across leading cloud and on-premises platforms, enabling you to automate development while retaining the flexibility to evolve your technology stack over time.
Azure SQL
Databricks
Snowflake
additional supported platforms.
Exasol
IBM DB2
Netezza
Oracle
PostgreSQL
Azure Synapse
Microsoft Fabric
SQL Server
BigQuery
Redshift
