PinnedAxel SchwankeSemantic Layer — One Layer to Serve Them AllBridging the Gap between Technology and BusinessMay 253May 253
PinnedAxel SchwankeHow to Become a Data Engineer — I… using Databricks Learning MaterialsFeb 142Feb 142
Axel SchwankeCompliance under the EU AI Act: Summary and Key IssuesChallenges for Data Engineering and Data ScienceJun 22Jun 22
Axel SchwankeMy Journey towards “Databricks Certified Generative AI Engineer Associate”My experiences from preparing for and successfully passing the (beta) examJun 11Jun 11
Axel SchwankeData Mesh in Practice — Recommendations from Zeenea’s “Practical Guide to Data Mesh”The recommendations given are intended to help the reader better navigate the complexity of data mesh and provide some orientation.May 9May 9
Axel SchwankeCentralized versus Domain-Specific Data GovernanceChoosing the Right Path for Effective Data ManagementApr 3Apr 3
Axel SchwankeUnleashing Creativity: A Guide for Data Engineers — but not just for them“Having ideas is not the same thing as being creative. Creation is execution, not inspiration. Many people have ideas; few take the steps…Mar 21Mar 21
Axel SchwankeUnleashing Innovation: Brainwriting for Data Engineers — but not just for themIn data engineering, it’s important to stay innovative. Brainwriting, a collaborative ideation method, is growing in popularity as it…Mar 17Mar 17
Axel SchwankeHow to Become a Data Engineer — III… using Databricks & Additional ResourcesMar 13Mar 13