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insights

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.
solutions

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.
courses

Data Catalogs

This course provides a comprehensive deep dive into data catalogs and their role in modern data governance, data engineering, and AI. It shows how catalogs support reusable data products, data marketplaces, and enterprise knowledge graphs for AI-driven use cases.
solutions

Process Mining

Totally Different From Business Intelligence And Yet So Identical. At first glance, BI and Process Mining could be twins – both thrive on data, both uncover performance insights, and both promise efficiency. And yet, despite their similarities, they approach the challenge from very different angles.
services

Advisory and Implementation Services

Our experts guide you through a company-wide data and analytics solution—including strategy, design, integration and deployment—that you can leverage for fast returns.
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We are looking for data engineers and product owners to join our growing team in The Netherlands.

careers

Senior Data Engineer

Do you believe traditional data warehouses should evolve into automated, scalable, and metadata-driven platforms? Are you passionate about modern data architectures - from cloud data ingestion and lakehouse platforms to data fabric and enterprise data catalogs? Join us in shaping the next generation of automated data platforms, leveraging cloud technologies, modern data architectures, and data automation frameworks.
insights

Is Process Min­ing the Same as Busi­ness In­tel­li­gence?

At first glance, Business Intelligence (BI) and Process Mining may look similar. Both are used to analyze data within business management. Both rely on visualizations to simplify data analysis. And yet, despite their similarities, they approach the challenge from very different angles.
courses

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.

Core Competencies.

Our services span the key, interconnected disciplines of modern data and analytics.

Data Architecture & Engineering
 
Data Management & Governance
 
Data Analytics & Process Mining
 
courses

Free Learning Lab - Data Warehouse Automation

This learning lab explores how Data Warehouse Automation (DWA) and metadata-driven automation tools help simplify and accelerate the development, modernization, and management of data warehouses, data marts, and data pipelines.
solutions

Data Automation

Traditional data management and warehouse initiatives have long been time-consuming and resource-intensive, burdened by manual processes, fragmented systems, and complex workflows. However, an automation-first approach transforms this landscape by applying advanced automation technologies, AI-driven orchestration, and intelligent process design to every stage of the data lifecycle.
solutions

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.
insights

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.

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