Date: February 20, 2025
Language: German/ English
With the rise of the concepts data fabric, data products and data lakehouses, data management is evolving rapidly. This goes hand in hand with a growing volume of increasingly complex data sources. Many data teams are faced with agility and flexibility requirements that are almost impossible to fulfill. Technology that aids in automating the data pipeline development process to boost effectiveness is crucial.