- #Bpa rules tabular editor how to
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Tabular Editor ( Open Source Version): īy creating custom actions from BPA recommendation enables automated data model refinement for any future projects.I plan to constantly add and improve upon the scripts there. You can find the latest version of all the scripts in the blogs GitHub repo: If(c.DataType = DataType.Decimal || c.DataType = DataType.Double || c.DataType = DataType.Int64) BPA lets you define rules on the metadata of your model, to encourage certain conventions and best practices while developing in SSAS Tabular. Tooltip: Change all numeric columns to do not summarize
#Bpa rules tabular editor download
You can also download the BPARules.json file from GitHub, as described here.//Name: Numeric column to Do not summarize You need to add it manually, by running the following script in the Advanced Editor window of the Tabular Editor: w = new ()
#Bpa rules tabular editor install
Using BPA in Tabular Editorīest Practice Analyzer is not something you get out-of-the-box when you install Tabular Editor. But, the implications may be significant if you haven’t partitioned large tables, if your model contains many bi-directional or M:M relationships, or if you have many calculated columns and calculated tables in the model. That being said, from the model performance perspective, it doesn’t matter if you capitalized the first letter of data model objects, or hide foreign keys. Obviously, not all rules have the same importance for the model performance. It uses the Extended Tabular Tree (XTT2) rule representation 12. This means you can live with these “issues” without sacrificing the model performance.īPA relies on rules – each rule belongs to a certain category, such as DAX expressions, Performance, Formatting, and so on. SWRL Editor 16, designed to enhance the interoperability of SWRL rules with. Some “issues” are just that – “issues” with double-quotes. In a nutshell, the Best Practice Analyzer (BPA) scans your tabular data model and warns you about all the “issues” within the model. You can find more details about the tool itself in this article. When dealing with problematic data models, Best Practice Analyzer will quickly become your best friend! This tool, or maybe it’s better to say extension, was developed by Michael Kovalsky from Microsoft. You have to use a Tabular Editor extension, called Best Practice Analyzer.
#Bpa rules tabular editor how to
Of course not! Knowing general best practices for the data model optimization, such as avoiding bi-directional relationships, reducing the column cardinality, avoiding DirectQuery whenever possible, or removing Auto Date/Time hidden tables, still remains the key requirement! But, Tabular Editor may help you quickly and easily identify potential violations of these practices – based on the insight gained, you can then decide if you want to apply the recommended practice(s) or keep your original data modeling logic in place.īefore I show you how to use Tabular Editor for this specific goal, I must admit that I wasn’t completely honest with you😉… Tabular Editor alone WILL NOT save your data model from disaster. BPA has a rule that sets the IsAvailableInMDX property to FALSE only for hidden columns or for columns whose table is hidden. In fact, I wrote a post on a collection of Best Practice Rules which can be downloaded from GitHub and immediately used to check your model. So, here is the simple script that you can execute from the Advanced Editor window of Tabular Editor, that will set the IsAvailableInMDX property to FALSE for all the columns in the data model: foreach.
Of course, you can apply all the same steps in Tabular Editor 3, which is a commercial version of the productīut, now you’re probably asking yourselves: optimizing the data model is such a broad topic, how can one single tool help me to apply all those recommendations that spread across multiple books, videos, whitepapers, and blog posts? Is Tabular Editor a kind of magic wand that can help you transform data model “monsters” into “beauties” with a few clicks?! Updated: Tabular Editor 's Best Practice Analyzer is a fantastic tool for ensuring your tabular models abide by a set of best practice rules. However, as the DP-500 exam focuses on optimizing the data model with Tabular Editor topic, let’s explain how the tool may help you in achieving this specific goal.ĭISCLAIMER: Since the DP-500 exam explicitly specifies Tabular Editor 2 (free version) for this topic, we’ll use this version in the remaining part of the article. Tabular Editor is a comprehensive tool, that may be helpful in various development scenarios. Now it’s time to switch our focus to another extremely popular external tool – Tabular Editor! I’ve already written about Tabular Editor and some of its features that can significantly boost your Power BI development.
#Bpa rules tabular editor free
In the previous article, we’ve explained how to leverage DAX Studio free external tool to troubleshoot poorly performing DAX queries.
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