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.
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.
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.
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.
Training Services
Our trainers deliver intuitive, unrivalled instructional services to you, in person or on-line. From one of our venues in Amsterdam, Brussels or Stockholm, virtually, or at your site, our training experts teach you to maximize your data and analytics investments for amazing gains. After all, knowledge is currency in business.
Core Competencies.
Our services span the key, interconnected disciplines of modern data and analytics.
Data Architecture & Engineering | |
Data Management & Governance | |
Data Analytics & Process Mining |
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.
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.
Our Journey From Data Management to Process Analytics and Process Mining
With traditional process analytics, we began to encounter the limits of tools such as statistical process control, operations scorecards and business process improvement. While these tools provide valuable insights into intended processes and outcomes, they often fail to reveal what is actually happening in the organization. By ingesting, preparing, and analyzing event logs from processes and tasks - both inside and outside standard process flows - Process Mining takes analytics to the next level.
Our services were used and endorsed by companies like Deloitte, ASML, Nordea, ING, and 1.492 more.
Integrating AI and Analytics in the Data-Driven Enterprise
This course, taught by industry expert Mike Ferguson, focuses on how to architect and integrate AI agents, machine learning, and analytics to support real-time decision-making and enhance business performance. Learn how event-driven data, intelligent automation, and AI-powered decision-making can help organizations turn analytics into real-time business action and improve operational performance at scale.
