Skip to content

February 2025

The 2025 Speaker Lineup is Here! 🎤

The lineup for the 2025 Data Platform Next Step Conference is officially announced! With an overwhelming 225 submissions, selecting just 18 presentations was no easy task—but we’ve crafted an exciting agenda featuring some of the best speakers in the data community. You can now explore the full list of speakers on the conference website. We’re thrilled with the lineup, showcasing top talent from Europe, the… Read More »The 2025 Speaker Lineup is Here! 🎤

Stay directly at the LEGOLAND Hotels

We’ve secured a fantastic deal for those who want to stay right in the heart of the action at LEGOLAND Castle Hotel or Hotel LEGOLAND in Billund! Both are 4-star hotels, offering themed rooms (Pirate, Friends, Ninjago, Adventure, Wizard, Princess, Kingdom, and more) for a special conference rate: This offer includes breakfast and parking and is valid for stays between Saturday, May 31st, and Wednesday,… Read More »Stay directly at the LEGOLAND Hotels

Session Selection: A Tough but Thoughtful Process

Selecting sessions is never easy—especially when we receive 225 submissions. Our initial review filtered out 50 sessions that, while often great, didn’t align with our specific focus. Many were excellent Power BI sessions, and we hope to see them submitted for Power BI Next Step, happening September 22-23 in Copenhagen. Others didn’t quite meet the “Next Step” level or weren’t focused on Microsoft Data Engineering.… Read More »Session Selection: A Tough but Thoughtful Process

Advanced Spark for Data Engineers

We are thrilled to announce the Advanced Spark for Data Engineers training day, scheduled for Monday, June 2nd, 2025, at the Data Platform Next Step conference. This intensive, hands-on workshop is tailored for data engineers eager to elevate their Spark expertise, focusing on building scalable, high-performance solutions within platforms like Databricks and Microsoft Fabric. Meet the Experts: Leading this session are two distinguished professionals from… Read More »Advanced Spark for Data Engineers