adesso Blog
15.11.2023 By Mark Hartmann
Try MS Fabric as a Pilot Project - No Reservations, no Risk
Microsoft Fabric has the potential to revolutionize the way you build, extend, and maintain enterprise data architectures. Years ago, the concept of "Platform as a Service” (PaaS) rather than "Infrastructure as a Service” (IaaS), brought a simplification to building architectures. With Fabric, Microsoft now offers the next, logical step: Turnkey "Software as a Service” (SaaS) modules can be assembled with a few clicks into a powerful, easily extensible, and scalable enterprise data architecture. Find out more in my blog post
Read more15.11.2023 By Stefan Klempnauer and Markus Klesel
First Adopter Approach in a Client Project with Microsoft Fabric: Insights from the Trenches of Data Warehouse Migration
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.
Read more14.11.2023 By Yelle Lieder
Sustainable digital design – guidelines for sustainable UX and UI
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.
Read more09.11.2023 By Sezen Ipek
Requirements engineering for AI projects: how to add requirements for text summarisation
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.
Read more06.11.2023 By Alexander Zielinski
Progress and pitfalls – a look at electronic legal transactions
Electronic legal transactions are a first, and very important, step in the digitalisation of the judicial system. In this blog post, I will present the main points based on almost three years of in-depth work on electronic legal transactions, explore the technical challenges at the moment and describe ways you can tackle them.
Read more19.10.2023 By Siver Rajab
CATWOE – a method for understanding complex problems and developing solutions to them
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.
Read more18.10.2023 By Christian Del Monte
Data lakes as a way to tap the potential of big data: architectures and the issue of data discovery
The age of digitalisation has led to unprecedented growth in data, and never before has the strategic importance of information been more apparent. Data lakes are vital for efficiently managing and making the best possible use of these immense stores of data. I will explain why in this blog post.
Read more17.10.2023 By Sven Sethmann
A passion for software testing – drawing lessons from competitive sport
You can learn a lot from competitive sports that you can apply in your professional life. However, my aim in this blog post is not to lay out a set of golden rules, because everyone is different. I will instead describe the personality traits that mark me out and have helped me learn and grow – both in sports and in my job.
Read more06.10.2023 By Stefan Mönk and Sezen Ipek
Making the right choice: agile approaches that can be used in data science projects
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.
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