I am not sure how I missed the ability to copy Power Queries and/or Folders between PBIX files in Power BI. Most users are aware of the template capabilities of Power BI – you can create a Power BI model, export the model as a template, and use the template for new solutions. In some … Read more
Power BI Training? My most common request, by far, is for training resources for Power BI. There have been some posts I have used to acquire more/better/different options for learning Power BI but I have accumulated, filtered out, and singled out the best resources below. I will add/modify periodically as new resources are added and … Read more
Power Pivot or SSAS Tabular data model optimization is important for Power View reporting usability and functionality. In this posting, we will discuss the following topics: X-Axis Guidelines Advanced Properties Image Handling Data Categories Table Behavior Field Behavior X-Axis Guidelines Data type and distribution Utilize a number or date that increases uniformly (primarily for … Read more
Before a Power View report can be built, you have to have a data model built as a data source. There are several configuration options to help optimize your data model specifically for Power View. These configurations and/or optimizations are made within your Power Pivot model or in SQL Server Data Tools on the SSAS … Read more
DAX Best Practices are vital when utilizing large data models and looking to improve performance. You can get away with poor practices on small models but you will see performance issues as your data grows. Data Analysis Expressions (DAX) is the native query and formula language for Microsoft Power Pivot data models and SQL Server Analysis … Read more
Data Analysis Expressions (DAX) is the native query and formula language for Microsoft Power Pivot data models and SQL Server Analysis Services Tabular models. DAX includes some of the familiar Excel functions that you have frequently utilized in Excel formulas, but also includes additional functions designed to manipulate relational data as needed. Much is still to be … Read more
Organization and user friendly data model development in Power Pivot & Tabular environments take precedence over almost all other concerns. We will discuss best practices of creating a data dictionary, naming rules, etc. of Power Pivot & Tabular data models in other, related postings. In this posting, we will discuss some options of organizing the data. As stated … Read more
Normalization vs. Denormalization best practices for Power Pivot / Tabular data modeling is typically not disputed. First, let’s quickly define in human terms what we are referencing when we speak of normalization vs. denormalization. Normalization is reducing data duplication by splitting dimensional data and attributes into their dimension tables. Typically, dimensions/attributes in a hierarchy … Read more
We will start off discussing the data model itself. The data model that is created in Power Pivot or a Tabular solution is the foundation of any Microsoft business intelligence solution. The data model consists of the data structure (including tables and their relationships, columns in the tables, and all measures created), the data … Read more
We have seen several dispersed articles on Power Pivot, SSAS Tabular, and Data Analysis Expressions (DAX) best practices. Over many articles, we will attempt to consolidate many of these into a single, consolidated location as well as adding new material to the list based on our experiences as well as any missing information we … Read more