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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.
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.
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.

 

  Mike Ferguson

  28 May, Stockholm
insights

Big Data LDN - Our Key Takeaways

For the third year in a row, members of our consulting team attended Big Data LDN — and once again, it didn’t disappoint. Conference Chairman and our long-time course instructor Mike Ferguson opened the event with an insightful overview of the state of data, analytics, and AI in 2025 — highlighting key progress, persistent challenges, and emerging trends driving data-driven transformation. Here are our top takeaways from Big Data LDN 2025..
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 solution 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.
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.
insights

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.

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

Modern Data Architecture

This course focuses on how modern data architectures enable integrated analytics, data engineering, and AI at scale. It covers architectures such as Lakehouse, Data Mesh and Data Fabric, and shows how to design, implement, and evolve a future-ready data platform. 

 

  Mike Ferguson

  4-5 June, Amsterdam

Our services were used and endorsed by companies like Deloitte, ASML, Nordea, ING, and 1.492 more.

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