Hey everyone! As I mentioned, this is the LAST video in the series, I hope you all enjoyed!! Let me know what you thought in the comments below, and give it a like if you're feeling generous! I'll be back soon with a LOT MORE exciting news and Fabric training 🙏
You explain things very well. Currently, I work as a Data Analyst, primarily focusing on building reports and cleaning data most of the time. I'm struggling with the poor quality of data my company collects and stores. And YES, I am determined to acquire new skills to transition into a role as an Analytic Engineer.
As always very helpful. Thank you very much for providing this series as helped me a lot to progress in my road map to shift from BI Developer to Data Science field.
Glad you enjoyed and found it helpful Farzad! That's an exciting journey to go on. I'll definitely be covering the Data Science experience in Fabric in detail on the channel, after covering a lot of the foundational concepts 😊
You're a wonderful teacher and thank you for the enlightening and easy-to-follow content on Fabric so far. With your videos and the skool community I'm not as scared to take the DP-600 certification exam and become an Analytics Engineer 😅(I'm a DA). Great work and I look forward to more content on Fabric!
I think Ive always been a Data Anlaytics eng, I enjoy the process of data cleaning ,valdiatiations and modeling way more than creating visuals. Im already on microsoft learn for the DP 600, but the real challenge is we should master the syntax of py spark and T-SQL for the test.
Transitioning from BI to DS was hard for me hard, from DS to DE another level of complexity but more manageable, now you are talking about data strategy roles, could you please elaborate more on that? Thanks
Yeh BI to DS is hard, hopefully I tried to be honest about that in the video 😂 Sure, data strategy (for me at least) was mainly building strategies for how to solve business problems with data (and then implementing those strategies as well). In that role it was mostly solution architecture: designing and building ETL pipelines, database tables/ views, and also had a bit of a say in the Power BI side as well (as a PBI report normally formed part of the solutions). It was fun!
Our company has implemented Power BI as frontend BI Tool. We now implement Databricks on Azure as Dataplatform instead of choosing Fabric. What are your thoughts about Databricks? Is Fabric mature enouth for large companies?
Hey there, it depends what features you need really, some are still in public preview. Best thing to do is use the trial to test it out for the type of workloads you’re going to be running on it 👍
great video! What kind of skills should one work on to transition into analytical engineering and do you think that getting a Masters in DS would be helpful (as you mentioned your path was for becoming a data scientist)?
I think the DP-600 exam will give you a general appreciation for the types of skills you might need as an analytics engineer. Masters in DS helpful for some skills, but if you're goal is Analytics Engineer, it's not necessary
Hey everyone! As I mentioned, this is the LAST video in the series, I hope you all enjoyed!! Let me know what you thought in the comments below, and give it a like if you're feeling generous! I'll be back soon with a LOT MORE exciting news and Fabric training 🙏
You explain things very well. Currently, I work as a Data Analyst, primarily focusing on building reports and cleaning data most of the time. I'm struggling with the poor quality of data my company collects and stores. And YES, I am determined to acquire new skills to transition into a role as an Analytic Engineer.
Thanks, I’m glad it’s clear for you 🙌 and good luck in becoming an Analytics Engineer! A fun path ahead of you! 😊
As always very helpful. Thank you very much for providing this series as helped me a lot to progress in my road map to shift from BI Developer to Data Science field.
Glad you enjoyed and found it helpful Farzad! That's an exciting journey to go on. I'll definitely be covering the Data Science experience in Fabric in detail on the channel, after covering a lot of the foundational concepts 😊
You're a wonderful teacher and thank you for the enlightening and easy-to-follow content on Fabric so far. With your videos and the skool community I'm not as scared to take the DP-600 certification exam and become an Analytics Engineer 😅(I'm a DA). Great work and I look forward to more content on Fabric!
Thanks for watching and for joining our community!! I'm glad you are finding them helpful in your journey. Next step, let's get you certified 💪
Thank you so much Will for everything you did in this series, it was a real eye opener. Many thanks.
No problem, thanks for watching! Glad you found it useful/ eye-opening 😊
I think Ive always been a Data Anlaytics eng, I enjoy the process of data cleaning ,valdiatiations and modeling way more than creating visuals.
Im already on microsoft learn for the DP 600, but the real challenge is we should master the syntax of py spark and T-SQL for the test.
good luck! are you a member of our learning community? lots of people going on a similar journey there: Skool.com/Microsoft-fabric
Love your content Will, thanks for making it! ⭐⭐
Superb vídeo, congrats and subscribed. I would like to understand further the relationship between python and fabric or fabric and data science.
Yup, will do doing lots of python/ data science videos in the future 👍👍
Transitioning from BI to DS was hard for me hard, from DS to DE another level of complexity but more manageable, now you are talking about data strategy roles, could you please elaborate more on that? Thanks
Yeh BI to DS is hard, hopefully I tried to be honest about that in the video 😂 Sure, data strategy (for me at least) was mainly building strategies for how to solve business problems with data (and then implementing those strategies as well). In that role it was mostly solution architecture: designing and building ETL pipelines, database tables/ views, and also had a bit of a say in the Power BI side as well (as a PBI report normally formed part of the solutions). It was fun!
Thanks for sharing the valuable info👍
Will, thank you for share your knowledgement!
Thanks a lot for your comments 👍 and thanks for watching!
Super useful content ...
Thanks a lot for watching, I hope you enjoyed this video, and the series in general!
Absolutely spot on. Looking forward for the dp600 content anxiously.
Thanks a lot for watching!! Are you going to take the exam?
@@LearnMicrosoftFabric absolutely that’s the plan.
Useful video as always..
Thanks a lot for watching 🙌🏽🙌🏽🙌🏽
I am using Azure Synapse Analytics, do I need to transfer to using Fabric?
Thanks for watching! Don't need to no, but all the new features & development effort from Microsoft is going towards Fabric
Our company has implemented Power BI as frontend BI Tool. We now implement Databricks on Azure as Dataplatform instead of choosing Fabric.
What are your thoughts about Databricks? Is Fabric mature enouth for large companies?
Hey there, it depends what features you need really, some are still in public preview. Best thing to do is use the trial to test it out for the type of workloads you’re going to be running on it 👍
great video! What kind of skills should one work on to transition into analytical engineering and do you think that getting a Masters in DS would be helpful (as you mentioned your path was for becoming a data scientist)?
I think the DP-600 exam will give you a general appreciation for the types of skills you might need as an analytics engineer.
Masters in DS helpful for some skills, but if you're goal is Analytics Engineer, it's not necessary
I want to start my career in data. Could you please guide me here. From wherw shall i begin?