adesso Blog
18.10.2023 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.
Read more02.10.2023 By Yelle Lieder
Guidelines for ecologically sustainable software architectures
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.
Read more29.09.2023 By Stefan Mönk and Sezen Ipek
Agility meets data science: strategies with great potential in DS projects
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.
Read more26.09.2023 By Mike Deecke
Four simple steps to make your business a success
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.
Read more04.09.2023 By Mike Deecke
The ingenious data lake
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.
Read more01.09.2023 By Marc Mezger and Moritz Momper
Python development best practices part 1 – Tools & Zen
Python is one of the most widely used programming languages in the world and offers a wide range of possibilities to implement solutions professionally and efficiently. However, to realise the full potential of Python, it is essential to understand the best practices and apply them. In this blog post, we would like to present you with our guidelines for successful Python development.
Read more28.08.2023 By Domenic See and Tobias Dieter
Cyber kill chain
The cyber kill chain framework was developed for use in analysing and defending against cyber attacks. The framework consists of a series of seven steps that describe the typical phases of a cyber attack. I will explain the steps involved and the advantages of this strategy to defend against cyber attacks in more detail in my blog post.
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