![]() So if you want to blend one to two data sources with a simple join key like date, you can stick with Looker Studio. In fairness, Looker Studio does a splendid job with simple and light blending. So should you just save yourself from all the trouble and avoid data blending? ![]() You’ll easily cross the limit if you want to create a very detailed table with many columns. Occasionally, in many advanced and in-depth reports, you need to blend data from more than five sources. While this number sounds like a lot, it isn’t. A limited number of blended sourcesĪnother frustrating limitation is that you can blend a maximum of five data sources. The more blended data sources you add, the slower your dashboard will be. And that process requires quite a bit of computational power. Whenever you create a blended data source, Google has to go through different APIs to retrieve data. Things get worse when you bring data blending into the picture. You’ve probably noticed that Looker Studio can take its sweet time loading your reports. If an error occurs, you can always go back to the raw data and trace the problem.īut, with Looker Studio, the join happens under the hood, so if the blended data has errors, you wouldn’t know what caused the problem. This lets you see what’s happening with your data in each step. Traditionally, when you join data in a spreadsheet, you can use different formulas to tell the computer precisely what data you want to retrieve. ![]() No control over what’s happening under the hood No control over what’s happening under the hood.Limitations of data blending in Looker Studio include: While data blending is a great feature, it also comes with many limitations that could slow down your reports or affect your results. The limitations of data blending in Looker Studio Each row from table A is joined with every row from table B, resulting in a table with the number of rows A*B. Cross join is a special operation that results in a table with all possible row combinations from both tables.Right join means taking all the data from the right table and the matching data from the left table where the join keys are the same.Left join means taking all the data from the left table and the matching data from the right table where the join keys are the same.And finally, padding the non-matching columns with empty values in the joined table. Outer join means taking all the data from both sources - matching it where the join keys are the same.Inner join means combining data from both sources - matching it where the join keys are the same and dropping the data that doesn’t match.Currently, Looker Studio supports five join operators: Your blended table shows different results depending on the join operator you pick. To blend data in Looker Studio, pick a join operator and join key. Data blending works when your joined data sources share at least one common dimension or a ‘join key’. What is data blending?ĭata blending is the process of merging different data sources into one single dataset. Let’s look at what data blending is and the logic of data blending in Looker Studio. The basics of data blending in Looker Studio Video: how data blending works in Supermetrics.How to overcome data blending limitations using Supermetrics.How to overcome data blending limitations using Google Sheets.The limitations of data blending in Looker Studio.The basics of data blending in Looker Studio.In this post, we’ll look at two workarounds using Google Sheets and Supermetrics. However, this feature also comes with some limitations that could slow your report down at best and affect your data accuracy at worst. Data blending is a great way to explore and make the most of your data in Looker Studio (formerly Data Studio).
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