adesso Blog

In this blog post, I present a solution that utilizes Athena's new Iceberg functionality for achieving such minimal ETL pipelines.

This guide will walk you through the process of reading Athena views in Glue ETL using PySpark.

Maintaining clear and concise architecture documentation is essential for successful teams. In the past, waterfall-based approaches often struggled to keep pace with the rapid changes in software development; by finishing the main architecture plan, the decisions made might already be obsolete.

eBPF has become a hot topic in the recent years, with lots of promise, but is it too good to be true or is it really going to change everything? In this post we are going to explore all of the areas where eBPF is certainly going to have a big impact and also the limiting factors of this revolutionary technology.

Modern IT has been full of buzzwords and groundbreaking approaches in the past few years. Infrastructure as Code (IaC) is the latter. IaC is the practice of defining your infrastructure through code templates rather than using a GUI or manual effort. Using IaC has several benefits, such as better reusability, CI/CD integration, etc.; but most notably: it helps you achieve greater speed by treating infrastructure like 'cattle' – not' pets.' While IaC tools have made a long way since they first emerged, and a few purpose-built languages have also popped up, the need to approach such things from traditional programming languages has never disappeared. Pulumi and CDK from AWS are such tools, and, in this blog post, we will be exploring the latter.

Az S/4 HANA alapú SAP rendszerek felhős virtualizációja elterjedőben van az egyre olcsóbb és szélesebb szolgáltatásokat nyújtó platformok miatt, mint például a Microsoft Azure, Google Cloud Platform vagy Amazon Web Services. Ebben a blogbejegyzésben röviden szeretnénk bemutatni egy átlagos SAP rendszerigényét, valamint az ehhez kapcsolódó virtualizációs költségeket.

Napjaink üzleti és informatikai életében az egyik legdivatosabb kifejezése a „cloud”, „cloud computing”. De mit is takar valójában a kissé futurisztikusnak ható felhő alapú számítástechnika? Blogbejegyzésünkben erre a kérdésre adunk választ!

Without a doubt, most companies with different pieces of information scattered around their organization would benefit from having a data lake. No wonder data lakes have been popping up at companies looking to improve their analytics further. In this blog post, we will explore what data lakes are, what’s the difference compared to data warehouses, and then take a detailed look at Lake formation. It is aimed at technical audiences who are new to Lake formation and want to understand its story conceptually.

Data driven operation and innovation is gaining space in every aspects of economy and private life of people. Big Data, Data Mining, Machine Learning or Artificial are terms, that are getting increasingly impossible to ignore in any businesses. Data-drivenness naturally involves technologies that build on a significant amount of data. The more powerful and/or more complicated statistical models we want to use, the more data we need to enable them to model reality in an acceptably precise, and the same time, sufficiently generalized manner.