I passed DP-600 today... A huge thanks to this community and to you @Will Needham ! Your support and guidance have been invaluable... Thank you all for being such a fantastic source of knowledge and encouragement !

I’ve been encountering data skew issues in my Spark notebook. I’ve tried implementing salting and repartitioning with different columns, but regardless of the combinations or the number of partitions (up to 200), the result is still skewed data. I’m running out of ideas on how to resolve this. Has anyone else faced similar issues or have any suggestions?

Hey All, looking into in this release plan, it sparked a question in me if you see the highlighted features related to lakehouse and warehouse in the attached screenshot. Warehouse: To get Spark support. Lakehouse: To get schema support and additional security features like OLS. I mean, till now all the discussions I have seen, Lakehouse was chosen for Spark and Warehouse for Security. Now if both gets both, would be an interesting discussion to start on how the future of lakehouse vs warehouse do you see? When would you pick what, or will they even get merged (too far I know😂) ?

Can anybody tell me how many casestudies will be there in exam? And approximately how many questions on case study?

Did you see the news today that Databricks announced they are open-sourcing Unity Catalog - pretty interesting! Will be interesting to see if Microsoft do anything about that... What are you your thoughts? There is a quote from Jessica Hawk (CVP, Data, AI, Digital Applications, Microsoft) in the article: "Microsoft is committed to the open-source community and empowering customers with choice. Databricks has been a strategic partner for years and it's great to see them open-sourcing Unity Catalog. We believe truly open standards with broad industry participation are in customers' best interests. Our collaboration with Databricks continues to elevate Microsoft Azure as the best choice for data and AI workloads,"