Wir trauern um Leo Ramírez
This blog post shows the process of mining abbreviations and discovering first concepts a COBOL legacy mainframe codebase is made of with the help of Large Language Models. It uses Python, pandas and Claude 3.5 Sonnet to generate insights that can be gathered from such a simple thing like a list of files.
Have you heard of data mesh? Are you intrigued by its potential but uncertain how to get started building data mesh and data products? If so, this article outlines a potential approach and delves into the key concepts behind it!
Together with our customer CluePoints, we evaluated new technologies, tools and standards for data storage, data processing, data versioning, and data lineage. These might become useful for refactoring their self-serve data platform.
Defect Analysis is a classic analysis technique to get insights into how buggy your system might be. In this blog post, we explore how Defect Analysis works and how we can implement it with a standard data analysis tool from Python: pandas.
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