Bring your analytical capabilities to the next level with a data warehouse or -lake

Heerema Marine Contractors operates the world’s largest crane vessels, equipped with many sensors that together generate millions of measurements every day. This sensor data is critical for safer operations, lower emissions, better engineering and well-founded investment decisions.

If you’ve decided to migrate your data warehouse to a European environment, taking a structured approach is key. This blog focuses on the steps needed for a smooth and successful transition.

This document is intended to provide guidance during the migration of legacy data warehouses or databases to modern Lakehouse solutions such as Databricks and Snowflake. It describes the different steps that are needed for a structured migration process. Migrations are often complex processes that require careful planning and execution to ensure a smooth transition.

Due to geopolitical developments and growing concerns about data sovereignty, more and more businesses are looking to reduce their dependence on US cloud providers.

Years ago, you couldn't develop an application or process without knowledge of complex programming languages like Javascript, PHP, and Python. You needed a programmer or Data Engineer. Today, there is a shortage of technical experts, while more and more low-code solutions are appearing on the market. These tools allow you to get started without in-depth technical knowledge. Whether this is the right solution for you depends on various factors. Make the right decision with the help of this article.

Based on our know-how, the purpose of this blog is to transmit our knowledge and experience to the community by describing guidelines for implementing a data platform in an organisation. We understand that the specific needs of every organisation are different, that they will have an impact on the technologies used and that a single architecture satisfying all of them makes no sense. So, in this blog we will keep it as general as we can.

The Kadaster manages complex (geo)data, including all real estate in the Netherlands. All data is stored and processed using an on-premise data warehouse in Postgres. They rely on an IT partner for maintaining this warehouse. The Kadaster aims to save costs and work more efficiently by migrating to a Databricks environment. They asked us to assist in implementing this data lakehouse in the Microsoft Azure Cloud.

There are many different forms of data storage. In practice, a (relational) database, a data warehouse, and a data lake are the most commonly used and often confused with each other. In this article, you will read about what they entail and how to use them.

Merlin is the largest digital music licensing partner for independent labels, distributors, and other rightsholders. Merlin’s members represent 15% of the global recorded music market. The company has deals in place with Apple, Facebook, Spotify, YouTube, and 40 other innovative digital platforms around the world for its’ member’s recordings. The Merlin team tracks payments and usage reports from digital partners while ensuring that their members are paid and reported to accurately, efficiently, and consistently.

In the past, all data from companies was stored locally in an on-premise environment. More and more companies are migrating their data infrastructure to the cloud. Cloud computing utilises servers managed and maintained by cloud service providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform. In this article, you will read the answers to the questions you may have when considering a migration to the cloud.

Agrico is a cooperative of potato growers. They cultivate potatoes for various purposes such as consumption and planting future crops. These potatoes are exported worldwide through various subsidiaries. All logistical and operational data is stored in their ERP system, Microsoft Dynamics 365. Due to the complexity of this system with its many features, the data is not suitable for direct use in reporting. Agrico asked us to help make their ERP data understandable and develop clear reports.

One of the largest online shops in the Netherlands wanted to develop a standardised way of data processing within one of its data teams. All data was stored in the scalable cloud data warehouse Google BigQuery. Large amounts of data were available within this platform regarding orders, products, marketing, returns, customer cases and partners.

Valk Exclusief is a chain of 4-star+ hotels with 43 hotels in the Netherlands. The hotel chain wants to offer guests a personal experience, both in the hotel and online.

TM Forum, an alliance of over 850 global companies, engaged our company as a data partner to identify and solve data-related challenges.

Dedimo is a collaboration of five mental healthcare initiatives. In order to continuously enhance the quality of their care, they organize internal processes more efficiently. Therefore, they use perceptions from the data that is internally available. Previously, they acquired the data themselves from different source systems with ad hoc scripts. They requested our help to make this process more robust, efficient and to further professionalise it. They asked us to facilitate the central storage of their data, located in a cloud data warehouse. The goal was to set up the data infrastructure within this environment, since they were already used to working with Google Cloud Platform (GCP).

The Neuron provides a programmatic bidding platform to plan, buy and manage digital Out-Of-Home ads in real-time. They asked us to predict the number of expected impressions for digital advertising on billboards in a scalable and efficient way.