adesso BLOG

In the ever-evolving landscape of data management and analytics, staying ahead of the curve is critical to meeting the needs of modern digital businesses. With Microsoft Fabric entering its public preview phase in mid-May of 2023, this ecosystem is experiencing significant disruption. We partnered with our client to test these waters, embarking on a Proof of Concept (PoC) project to migrate their existing on-premises data warehouse to the cloud, using Microsoft Fabric.

The life cycle assessment of digital solutions reveals that client devices are responsible for a significant portion of the environmental impact of these solutions. In our guidelines for concept developers and designers, we at adesso have laid out ways in which the digital design process can help reduce their environmental impact. I will show you how sustainable digital design works in this blog post.

Requirements engineering has become a key factor in machine learning projects in the age of artificial intelligence and machine learning. This blog post explains the importance, the theoretical underpinnings and the approach taken in this critical step in the process of developing AI systems.

There are a variety of tools and methods used in system analysis to understand complex problems and find solutions to them. One such method is CATWOE. In my blog post, I will be explaining how this analytical method can be a useful tool to understand complex problems and develop solutions that take into account the many different aspects of a system.

In this blog post, we will explore the requirements specific to data science projects, explain how to choose the right agile approach and take a closer look at the current state of research.

Green coding on its own is not enough to really make software sustainable, since the impact of decisions made at the source code level is limited. That is why we at adesso have developed sustainable software architecture guidelines as a way to anchor sustainability at the structural and conceptual level.

Agility and data science have both taken on a larger role in recent years. The use of agile methods and frameworks can be a key factor in the success of a company. In this and future blog posts, I will be focusing primarily on the question of whether and how agile approaches can be integrated into the field of data science. We will begin by taking a look at basic things you need to know about data science and agility.

Today’s business world is dynamic and full of challenges. But with the right approach, companies of all sizes from across all economic sectors can lay the foundation for long-term success. Four steps are critical here. In this blog post, I will explore each of these steps in greater detail and provide examples from real-life situations to illustrate ways you can take these steps in order to bring about radical change.

A data lake, also known as a data platform, is an ingenious and highly effective solution for addressing the complex challenges that come with storing, managing and analysing vast quantities of data. It provides an advanced infrastructure that enables organisations to store data in its native form and be flexible with how they process it later. In my blog post, I will go through the advantages it brings to the table.