ULTIMATE Data Engineering Certification Guide 2025

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Thomas Hass

Thomas Hass

Күн бұрын

Пікірлер: 11
@DataMyselfAI
@DataMyselfAI 23 күн бұрын
Fun fact: Just a few hours after this video was dropped, Microsoft announced the retirement of their DP-203 Data Engineer Associate certification and recommended switching to the Fabric certification-just as I suggest in this video! 😁
@DistrictGentleman
@DistrictGentleman 9 күн бұрын
You were spot on!
@vaibhavsinghchandel7378
@vaibhavsinghchandel7378 Күн бұрын
as a starter in the field i still want to persure the dp 203 as its retiring by march 31st, i want to take the exam before that because I feel that there is just too much to learn on fabric and too less resourses and many compamies are still working with the resources that are included in the exam and have not made the jump to fabric. Would love to head your opinion about that!
@choiceugwuede
@choiceugwuede Күн бұрын
Just what I was looking for
@AdelinaM111
@AdelinaM111 27 күн бұрын
Thanks a lot! Great video, explained very good ! 👍🏼👍🏼👍🏼
@tatyanam.8550
@tatyanam.8550 27 күн бұрын
Super !!!👍
@rolandstuffle2439
@rolandstuffle2439 22 күн бұрын
❤ thanks for the content and the great overview
@MMARavid
@MMARavid Күн бұрын
So you wouldn't recommend the snowflake data engineer advanced cert? The foundational one will be sufficient, in your opinion?
@zulfiqar7967
@zulfiqar7967 26 күн бұрын
Hey. Can u clear a thing,. im currently working as windows application developer using VB NET and MS SQL for long years with this old tech. I need a career transition in a demanding fields, so i have planned to move towards to Data engineering with Cloud. And recently i got my interest towards AI, some says without ML can pursue Gen AI, Agentic AI jobs.. someone like me which is better career transition??
@DataMyselfAI
@DataMyselfAI 25 күн бұрын
The easiest transition in your case, and something I’ve seen work well for others, would be to first move into modern cloud-based data warehousing. Start by learning the concepts there and how it’s different from the old-school approach. From there, the jump to related areas like Data Engineering or AI is much smaller since they all kind of go hand-in-hand in modern data platforms with Lakehouse Architectures.
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