Johannes Vink

The technology of the data landscape is changing fast. Concepts stay the same. Or are concepts changing too? How does a classic data warehouse team with BI, ETL & SQL adapt to Python and modern data engineering? And how does your team adapt and how do you stay relevant to the business? This session will explore the journey that the internal data warehouse team at Boskalis, a Dutch and “leading global dredging and offshore contractor and maritime services provider” underwent, turning towards data warehousing AND data engineering. We will focus in this session on the team aspects like upskilling and leadership, organization dynamics and the complexity of handling changing technology stacks, while still delivering business value. This session does cover parts of the technology stack used (Azure Data Platform & Azure Databricks), but the focus is on organizational aspects and business value. When you walk away after this session you will know: * How Boskalis went from a classic data warehouse team to a team that includes data engineering * What challenges there were, and which solutions were applied * Practical learnings that will give you handholds to grow to data engineering for you and your team * How the changing technology stack was handled