10 Steps to Optimize Your Data Model in Power BI
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- เผยแพร่เมื่อ 21 ก.ค. 2024
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⏱️ TIMESTAMPS ⏱️
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00:00 Intro
00:13 Step 1
00:48 Step 2
01:54 Step 3
02:56 Step 4
04:34 Step 5
05:32 Step 6
07:12 Step 7
08:30 Step 8
09:20 Step 9
11:22 Step 10
13:06 End
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Honestly, I didn't even know about external tools like Bravo. Downloaded immediately. What a time saver. A whole video on your favorite external tools and how you utilize them in action would be great.
same here - especially it is from Marco Russo who allready published some solid DAX literature.
Yes external tools video would be huge
Requesting same …
I am also requesting to be video on external tools
Aggregation is good, but there is always someone who would want to drill down to more details! :D
I wanted to give a 'haha' react for this
This video is pure gold! Thank you so much for sharing master.
Definitely when someone ask me for optimizations, this is the only resource I'll need to recommend.
Thanks Bas, excellent tips. I love Tip 3 about switching off the hidden date/time tables being created in the background - this is a new one to me. Keeping in mind cardinality & where data types could be switched to numeric are also great reminders. I will be following the advice given here.
Great video, next time people ask me for best practices on Data Modelling I can just share this video 👍
Hey Bas,
Thanks again for the video, very informative.
I just wanted to point out :
Step 3: it would be much preferred to push all of the calculations, group by functions to the DataMart in case the user's have one.
Step 10: the incremental refresh kind of will help with the import mode since you only import your data once then in the workspace it will create partitions of that data that will be stored and not changed and depending on how you want the data to be refreshed and when you know for example that your data after 2 weeks will not change you can set it up and your data will be stored in the workspace.
Thanks again for the video !!
PS: when will you do a video about the power bi extension you use and how you use them, it will be great !!
Awesome, simply explained and on point. Big thanks 👍🏻
Do you have any experience with the Aggregated Tables feature and is it a good way to improve semantic model performance?
What are your thoughts on an having enterprise level 'Golden Model' - one with multiple dimension and fact tables for cross fact reporting - vs composite modelling?
Excelent work, very well condensed in 10 min. Many users do not pay attention to maintenance and optimization and I think that that is a mistake.
Hi Bas,
Excellent video again from you. I have a doubt, at 6:45 when you say, “use a filter measure instead” what do you mean? I didn’t understand this part alone.
Thank you for the awesome video again
I’ve learned sooo much with this video man!! Thanks!!!
Power BI Helper seems to have last updated in 2021. I assume that means it won't work with reports saved in PBIP format? Will the other tools you mentioned do so?
PBIP has been amazing for version control.
Always fashinated on a way you explain and share very helpful informations.
Thanks alot... BRAVO..!!!
Wow, what a great video. It helps a lot.
Looking forward to see similar video like this
Solid and very well-explained video, congrats!
Hi I have doubts about the drop down without single select slicer is this possible to
when we select any category in the slicer then the slicer pop up does not disappear automatically when we have to click any other place then the slicer pop up disappear. Any solution i want when we click on the category in slicer then the slicer pop up automatically disappears.
Very informative video. Thank you for creating this one.
10 Steps to Optimize Your Data Model are a pragmatic way,
before transferring your Data Model from Test to Production environment.
A couple of the 10 steps are also explained in the course material for Microsoft Power BI Data Analyst (PL-300) certification. 👨🎓👩🎓
very concise, nice
Great content.
One more reason to prefer calculated (DAX) columns vs custom (Power Query) column for strings concatenation: DAX allows to use emoji 😎😎 while Power Query seems to be limited
Hi Bas, first I'd like to thank you for your content as it has helped me inmensely on my Power BI journey. I was wondering if you had any resources/strategies on how to go from the flat table to a simple star schema as you describe on step 4. Thanks again.
here you go 😊 th-cam.com/video/w4NHK_jizUw/w-d-xo.html
@@HowtoPowerBI it is amazing the amount of things you can accomplish with Power BI (albeit inefficiently) without having a grasp of the basics, much appreciated.
Is the measure in the filter pane at 6:45 in case 6 being meant to be used as a better alternative compared to the bidirectional relationship?
also curious on this!
MSMGQM (Model, Script, Manage, Query, Generate, Monitor) Power BI External Tool HOW to install this external tool! can you please provide the link for this tool ?
99% of those who build reports with Power BI use the "Click, drag and drop until it works" approach, so all these very valuable hints are just ignored. Still Bas is so good to be able to condense in a few minutes plenty of essential hints.
2 more suggestions from my side:
Preference for Custom column in Power Query instead of Calculated columns in the model.
Also, disable Power Query query load for unwanted tables.
What are the best power bi books you would recommend. All around and also dax.
Thank you guys in advance
the top recommendations on amzn r all good
impressive
I have always struggled with step number 1 to remove unused columns and tables because we use golden datasets with many live connection reports created by our team and outside users for their own analysis. Any tips for this?
Start small, then add columns on demand. As of now, there is no tool to analyze what columns are used in LC by self service reports.
Use Measure Killer tool, using this you can analyse live connection reports and identify unused measures and columns. This tool will help us to delete these unused objects in dataset automatically. We don’t need to do it manually
My workplace will not allow an external tool😊
Not convinced on Snowflake being worse! Some metrics to back up your argument would be nice. Compression benefits can outweigh the impact of additional joins.
There are no compression benefits with snowflake. Only the distinct values matter in column store. No of rows doesn’t matter much. But joins do matters, and a lot.
‼️ urgent ‼️
Hi Bas,
I would like to know, what are the add on certification should i take in order to learn power bi eco system,
Certification such as
DP 900, AZ 900..
there is a certification drive going on in company at free of cost…
Let me know
Dp 600 pl 300
Sir Please make Dashboard as example using this concept. being new difficult to understand
this is a good starting point for beginners th-cam.com/video/w4NHK_jizUw/w-d-xo.html
not big fan of calculated column though
As always. Great video with some awesome tips. I have learnt so much from your videos.