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11.09.2013
Use Reverse White Pages and reverse lookup landline, business and cellular phone numbers to find owner's name and address of phone number. Just enter any phone number in the search box to access our powerful reverse phone detective. There are a couple of subtleties to querying SharePoint list items with Power Query, and I will briefly walk through the process below.
With Excel open, click the Power Query tab, select “From Other Sources” and the select “From SharePoint List”.
Next, enter the URL for the SharePoint site (or subsite) that contains the list you wish to query. Once entered, you will be presented with a list of SharePoint lists in the Power Query Navigator window. If you scroll to a column of this particular type, you will see the value expressed as a hyperlink with the value “Record”.
Here, we are interested in retrieving the user’s name and mobile phone, so we deselect all of the other fields. Selecting expand will create a new source record for each related item, and the only columns that will differ will be the items selected from the related table (Name in our case). Once ready, click “Close and Load” from the Query Editor ribbon, and the list data will load to either your model, or your workbook, depending on what your preferences are. This entry was posted in Business Intelligence, Office 365, Power BI, SharePoint, Technology and tagged Data Management Gateway, Office 365, Power Query, SharePoint on September 24, 2014 by John White.
I’ve been using the gateway since its initial availability in preview form, and in my opinion, this is the most significant functionality change yet.
With past versions, I would write up a quick post on how it is configured, but that has been done, along with the complete list of supported data sources and a helpful video on this blog post by the Power BI team.
The big change here is that this multitude of data sources is supported for data retrieved by Power Query, and NOT by Power Pivot natively. As I first mentioned in a post almost a year ago on Using the Data Management Gateway, and in a number of posts since, data connection strings needed to line up with Power Pivot connections. As of this release of the Data Management Gateway, there is almost no reason to use native Power Pivot connections any longer.
With that said, there are a couple of good reasons for using Power Pivot connections directly. What this means is that for Power Pivot connections to these sources, a refresh allows the Power BI service in the cloud to directly access these data sources in the cloud. Apart from this one small caveat, this version of the Data Management Gateway spells the way forward. This entry was posted in Power BI, Technology and tagged Data Management Gateway, Power BI, Power Query on August 26, 2014 by John White.
If you do decide that you want to load data to the worksheet, or you’re simply unaware of the issues, you will be prompted to consider loading to the data model once your data hits 10 MB, which is the maximum non-model workbook size in Power BI. Prior to this update, it wasn’t possible to modify the query without losing all changes to the data model, or formatting in worksheet tables. Power BI is being built in a surprisingly collaborative way, with a large amount of input from the community. This entry was posted in Office 365, Power BI, Technology and tagged Power BI, Power Query on May 6, 2014 by John White.
When using Power Query to load data from a data source, the user has three choices as to where that data can be stored. The reason for the load to worksheet default is understandable, as casual users will expect to see the data immediately after it is imported – they won’t want to open the PowerPivot model editor (which is itself turned off by default in Excel 2013). Now, in addition to joining the Customer Experience Program, you can set your data load settings. I can’t be completely sure, but in my limited testing, it appears that this option setting does not sync between instances of Excel on different machines the way that other (non add in) settings do.
Kudos to the Power Query team for implementing this – it’s a welcome addition to the product.
This entry was posted in Office 365, Power BI, Technology and tagged Excel, Power BI, Power Query on May 6, 2014 by John White.


Power Query can be a very powerful data acquisition and transformation tool, and Power Pivot is great for modifying imported models. This severs the connection with the data model, and deletes the data model (or that portion that came from the query), allowing you to create it from scratch, which is great, unless you’ve put any work into changing the model. Hopefully this saves a few poor souls from losing a fair bit of work, but I imagine that you’ll only be reading this if you’ve experienced one of the errors above.
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The SharePoint data storage mechanisms simply aren’t designed for querying of any scale, hence the lookup limitations that have been imposed upon it.
With SSRS, every query goes back to the data source for retrieval.  Power Query is different – it’s analogous to SQL Server Integration Services, which is an ETL management product.
You will see all of the list item fields expressed as columns, and for the most part, using the correct data type. Internally, the SharePoint item stores this as an ID and display value, but Power Query gives you access to all of the properties of the related item as a one-to-one relationship. A new column will be created for every expanded field in the format sourcefieldname.attributename .
The data can be refreshed at any point either manually, or automatically if using the Data Management Gateway. If you’re unfamiliar with it, it is the Power BI component that allows for workbooks stored in the cloud to be refreshed on  a regular basis with data that exists on-premises, or outside of the hosting center. Until this release there were a grand total of three possible data source types that could be refreshed. In addition, an very comprehensive (although amazingly already in need of update) white paper on hybrid data scenarios has just been published by Microsoft here.
At the time, the only supported sources were SQL Server and Oracle (for the gateway) and Power Query wasn’t supported at all.
My recommendation is therefore that unless there is a good reason for not doing so, you should try to use Power Query for all data acquisition tasks. One of these reasons is if your data source is online, whether it is SQL Azure, SharePoint Online, or Project Server online. However, because ALL Power Query connections require the Data Management Gateway for refresh operations, a Power Query refresh operation will require all of the data to be first downloaded to the on-premises gateway, and then sent back up to the Power BI service in the cloud.
Additional data source support should come fast a furious, and the Power Query focus means that we can start to rely its powerful transformational capabilities without having to sacrifice refreshability (if that’s even a word….).
To put it simply, the default data load behaviour is to load data into a worksheet in most cases. Prior to this update, the user wouldn’t know that there was a problem until after they tried to use the workbook in Office 365. However, loading to the worksheet introduces quite a few limitations, as I’ve described (OK, whined about) mostly here, but also here and here.
The upshot of it is that Power Query can’t update an existing model once structural changes have been made to it. The thing to remember here is that editing a model created by Power Query a one way street. Neither the service provider nor the domain owner maintain any relationship with the advertisers. The good news is, even if you don't have the full details, our telephone number lookup can help you find any phone number in the USA.
The best approach to querying SharePoint list data is to first load it into a data warehouse or data mart of some sort. It loads source data into a repository, in this case, an embedded xVelocity, or Power Pivot model which can be considered a “personal data warehouse”. At this point you can remove any columns that are unnecessary, or filter any undesired rows.
Essentially, what you can do is to flatten that relationship by incorporating the related item’s attributes.


For numeric fields, they can be totalled or averaged, and for text fields they can be counted.
With this release, the total increases to 18 by my count (you could argue 22, but that’s plenty). There is absolutely nothing wrong with this, but it does require us to change our approach a bit to using the data management gateway. Version 1.1 of the Gateway brought Power Query support, but only for those 2 supported data sources. With these data sources, a Data Management Gateway is not required for refresh to work from an embedded Power Pivot connection. There are quite a few new features packed into this release, which you can read about at your leisure but I’m particularly interested in the ones pertaining to data loading, as I’ve discussed several of the limitation in this area in the past. This leads to larger than necessary workbooks, to the point where they may not work properly with Power BI. I know that all of these features have been asked for and discussed by the community in the last few months, and here they are.
The default behaviour (and therefore the one that will be used most commonly) is to load into a worksheet when one table is being imported, or into the data model when multiple tables are selected. These limitations mostly revolve around the million row limit in Excel, the fact that data is stored in the model much more efficiently, and the file size limits when working with Power BI. You can overcome this error by turning off “Load to Data Model”, applying your changes, re-editing the query and then turning “Load to Data Model” back on. In case of trademark issues please contact the domain owner directly (contact information can be found in whois).
Even if you don't have the complete information, the telephone number lookup database can help you find phone numbers. As long as you have some of the information to enter into the search fields, we will return a list of names, addresses and phone numbers that will help you find the details of the person you're looking for.
However, both Reporting Services (SSRS) and Power Query support direct access to SharePoint lists.
Queries against this mini data warehouse are fast, and don’t rely on SharePoint  retrieval mechanisms, and can be used quite effectively in reports. Clicking on the column header expand for this column looks similar, but with an important difference. With this release, the Power Query support includes not only all of the new data sources, but also the three original Power Pivot data sources (note: Power Pivot data connections can be found in the Power Pivot add-in UI, while Power Query connections are available on the data tab in Excel).
My suspicion is that Power Pivot connections will be retained for backward compatibility reasons only. Now you can change this default behaviour, which will be welcome for anyone doing serious data modeling. In the past, if you were searching for a telephone number, the printed telephone directory was the only phone directory service available in the country.
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While I try to strongly dissuade people from doing this with Reporting Services, properly used, Power Query is a totally viable means of querying SharePoint list data. Most of these directory enquiries services allow you to search numbers by street name and surname.
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