{"id":1680,"date":"2026-09-25T14:42:16","date_gmt":"2026-09-25T12:42:16","guid":{"rendered":"https:\/\/www.flip-design.de\/?p=1680"},"modified":"2026-09-25T14:42:16","modified_gmt":"2026-09-25T12:42:16","slug":"power-bi-desktop-efficient-development-with-large-data-volumes","status":"publish","type":"post","link":"https:\/\/www.flip-design.de\/?p=1680","title":{"rendered":"Power BI Desktop: Efficient Development with Large Data Volumes"},"content":{"rendered":"\n<p>I increasingly encounter developers who want to create reports in Power BI Desktop but face a common challenge: their fact tables contain a large number of rows, and their development machines lack the resources to process that volume of data. In many cases, they also work directly with production or production-like data instead of using a separate dataset for development. It therefore makes sense to limit the amount of data imported during development.<\/p>\n\n\n\n<p>What we need is a solution that imports only a manageable subset of the data during development in Power BI Desktop, while allowing the full dataset to be imported into the Power BI Service for testing.<\/p>\n\n\n\n<p>In Power Query, we can limit the number of rows to import. But how do we tell the semantic model in the Power BI Service to load all the data? The solution is relatively simple: we use a parameter that is enabled during development in Power BI Desktop and limits the number of imported rows. When this parameter is disabled, all data is imported. The parameter can be changed in the Power BI Service so that the full dataset is loaded during the next data refresh.<\/p>\n\n\n\n<p>To implement this, I created a simple Boolean parameter. It controls whether the data volume is restricted for development or the entire dataset is imported.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image.png\"><img decoding=\"async\" loading=\"lazy\" width=\"940\" height=\"300\" src=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image.png\" alt=\"\" class=\"wp-image-1681\" srcset=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image.png 940w, https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-300x96.png 300w, https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-768x245.png 768w\" sizes=\"(max-width: 940px) 100vw, 940px\" \/><\/a><\/figure>\n\n\n\n<p>In the query for my fact table, I have now added a conditional statement that evaluates the value of this parameter:<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>let\r\n    Source = Sql.Database(\"G9PRM84\", \"Demo\"),\r\n    dbo_RandomValues = Source{&#91;Schema=\"dbo\", Item=\"RandomValues\"]}&#91;Data],\r\n    Ergebnis =\r\n        if LoadAllRows then\r\n            dbo_RandomValues\r\n        else\r\n            Table.FirstN(dbo_RandomValues, 100)\r\nin\r\n    Ergebnis\r\n<\/code><\/pre>\n\n\n\n<p>As a result, only 100 rows are imported into my development environment:<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-1.png\"><img decoding=\"async\" loading=\"lazy\" width=\"517\" height=\"598\" src=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-1.png\" alt=\"\" class=\"wp-image-1682\" srcset=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-1.png 517w, https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-1-259x300.png 259w\" sizes=\"(max-width: 517px) 100vw, 517px\" \/><\/a><\/figure>\n\n\n\n<p>When I change the parameter in the Power BI Service and then refresh the semantic model, the full dataset is imported.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-2.png\"><img decoding=\"async\" loading=\"lazy\" width=\"940\" height=\"599\" src=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-2.png\" alt=\"\" class=\"wp-image-1683\" srcset=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-2.png 940w, https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-2-300x191.png 300w, https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-2-768x489.png 768w\" sizes=\"(max-width: 940px) 100vw, 940px\" \/><\/a><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-3.png\"><img decoding=\"async\" loading=\"lazy\" width=\"703\" height=\"576\" src=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-3.png\" alt=\"\" class=\"wp-image-1684\" srcset=\"https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-3.png 703w, https:\/\/www.flip-design.de\/wp-content\/uploads\/2026\/09\/image-3-300x246.png 300w\" sizes=\"(max-width: 703px) 100vw, 703px\" \/><\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>I increasingly encounter developers who want to create reports in Power BI Desktop but face a common challenge: their fact tables contain a large number of rows, and their development machines lack the resources to process that volume of data. &hellip; <a href=\"https:\/\/www.flip-design.de\/?p=1680\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.flip-design.de\/index.php?rest_route=\/wp\/v2\/posts\/1680"}],"collection":[{"href":"https:\/\/www.flip-design.de\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.flip-design.de\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.flip-design.de\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.flip-design.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1680"}],"version-history":[{"count":1,"href":"https:\/\/www.flip-design.de\/index.php?rest_route=\/wp\/v2\/posts\/1680\/revisions"}],"predecessor-version":[{"id":1685,"href":"https:\/\/www.flip-design.de\/index.php?rest_route=\/wp\/v2\/posts\/1680\/revisions\/1685"}],"wp:attachment":[{"href":"https:\/\/www.flip-design.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1680"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.flip-design.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1680"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.flip-design.de\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1680"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}