This article covers:Īs well as these core table functions, it also helps to understand the DEFINE, EVALUATE and MEASURE functions as well as the use of variables in DAX queries when returning data to paginated reports. It follows that, to extract data in ways that allow effective report creation, it is essential to learn to use a whole range of DAX table functions. Alternatively, if you wish to use SUMMARIZECOLUMNS() to output data at its most granular level, you will need to include a unique field (or a combination of fields that guarantee uniqueness) – even if these are not used in the report output. This means, for instance, that you will never find duplicate records in the tabular output from SUMMARIZECOLUMNS() as, by default, it is grouping data. Moreover, it has limitations when you wish to deliver complete lists of results as it is an aggregation function. Specifically, the only DAX table function you looked at was SUMMARIZECOLUMNS().ĭespite its undeniable usefulness, this function is far from the only DAX function that you can use to query Power BI Datasets when creating Paginated Reports. However, as befitted an introduction, the focus was essentially on getting up and running. In the previous articles, you learned – or revised – the basics of using DAX as the query language to populate paginated reports with data from Power BI datasets.
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