![]() ![]() My SharePoint site root url is, but all of my files are actually in another site that starts with sites/externalsales/ URL. Good question! What the tool is expecting here is the root URL to the SharePoint site itself. ![]() Where can I find this so called url? Which one of the urls found in SharePoint should I use? This option will only require a text string which would be the URL for a SharePoint site. In the end, we want the result of the combination to look similar to this: Getting Data from SharePointįirst things first, we need to get the data and the Power BI Desktop makes it easier for us to get our data from either SharePoint or any O365 Group storage.įrom the Get Data experience, let’s find the option for “SharePoint Folder”. Clean and transform the data – ultimately, we want to unpivot some columns and also make the table more manageable to use with the Power BI Desktop and the DAX language.Combine all of the data from the files into one big table – once we connect to this data source, we need to be able to combine/consolidate/append all of the data from each of those excel files into one big table.Access all of the files from our site – we need to connect to our O365 group or SharePoint site and get the files first.The Tor browser can be used for normal Web browsing, yes. Now, what we want to do is something that can be summarized in a series of steps like the following: These are all Excel files living a happy life in SharePoint – we get these files via email from the provider and then store them on our Office 365 group every month.Īll of the files have the same structure, but different sheet names – all of the files only have 1 sheet and all of them have the same headers, but in a real case scenario the Power BI desktop and the process described here will work if you don’t have the same headers on all of the files. Here’s a few remarks about our case:Įach of these files has only 1 month of data – we’ll have a file for January with just 1 sheet in it that will have all of the data for January. These files are provided by a 3 rd party in order to give us a better understanding of the whole market and how well some products are doing on each market. ![]() In this specific case, we have an Office 365 group that we’ve created where we store some external sales data that do not come from our system. In this blog post, we’ll show you how, with the newest version of the Power BI Desktop and Power Query for Excel, you can combine multiple data from Excel files into one big tall table. Have you ever wanted to consolidate, combine or append data from multiple excel spreadsheets or workbooks? I bet you have, and it has been a painful process either done manually or via 3 rd party add-ins. The Merge and Append operations are performed on any Power Query with a tabular shape that is independent of the data source that the data comes from. Power Query provides an intuitive user interface for combining multiple queries within your Excel workbook by merging or appending them. However, if you have one Excel file, with multiple sheets with the same structure but different data, you cannot use that option. This post was contributed by Ken Puls and Miguel Escobar, Power BI experts and authors of the new ebook, ’(M)agic Tricks for Data Wizards’.Ĭombining multiple files from one folder is already supported built-in through the graphical interface of Power Query when use you Get Data from Folder. I will choose File1.xlsx, so if you chose differently some steps may differ in view. The Base Query So we start in a blank Excel file and launch the Power Query (Data/New Query in Excel 2016)/ From File / From Excel (From Workbook in Excel 2016) Then find the folder and choose any of the Excel files. This is the post where we’re going to see the difference between simple flat files and more complex files (like an Excel workbook) when it comes to using the Combine Files experience inside of Power BI / Power Query.
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