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[What's New in the Power BI Desktop February 2016 Update?] >> Hello, everyone. [What's New in the Power BI Desktop February 2016 Update?] We're here another master talk about Power BI Desktop update. [MIGUEL LLOPIS Sr. Program Manager, Microsoft] This is the February 2016 update [MIGUEL LLOPIS Sr. Program Manager, Microsoft] and we have lots and lots of new features [MIGUEL LLOPIS Sr. Program Manager, Microsoft] across new report offering capabilities, [MIGUEL LLOPIS Sr. Program Manager, Microsoft] new data modeling capabilities, lots of new data connectivity, [MIGUEL LLOPIS Sr. Program Manager, Microsoft] functionality as well. In fact, we have so many new features in this desktop release that it is so hot and my machine is soon going to go on fire as you can see. So now, let's actually go and dig deeper into the features. [What's New in the Power BI Desktop February 2016 Update? Report Authoring] The first group of features this month, [Report Authoring] it's about report offering capabilities. [Report Authoring] The first feature this month is something that has been [Report Authoring] long requested by many of you is the ability to see the data [Report Authoring] that's behind a visual [Report Authoring] and also being able to export that data to a CSV file. [Report Authoring] Let's go and take a look at this feature. I'm gonna switch to an existing report and we can select this bar chart visual. We can go into focus mode by clicking this little icon in the top right corner and now while you're in focus mode, you notice this new icon on the top right that says see data. When you click this button, you're gonna see the view is split between the bar chart and the actual table that has the data behind the visual. This is basically for each of the values in the axis that we've shown here, the actual value for the measure. And then we can also do a few more things in this view. We can switch this to a vertical layout just so that it looks better in some cases, depending on the data you have, you want to have this different aspect ratio. And the other thing that you can do from here is going to the dot-dot-dot and select the export data option. This will basically allow you to create a CSV file that will contain the data that we've just seen in this table, it would match this content. So pretty valuable, pretty long requested feature from many of you, we hope you enjoy it. We'll do more improvements along this direction with exporting data, not just for data behind the visual, but the actual data in the entire table in the data model. That will be coming in a few months, so stay tuned and please continue sending us feedback about this capability. [What's New in the Power BI Desktop February 2016 Update?] The second new feature this month [What's New in the Power BI Desktop February 2016 Update?] is a set of improvements to map visualizations. [What's New in the Power BI Desktop February 2016 Update?] So, basically what we're doing is simplifying the way that maps work and before it used to be that you had to provide a location field which was a text field with the actual location display text or name of the street or the city, and also the latitude and longitude for that specific data point. Now, we've actually simplified this so that it no longer requires you to provide the location field, so just with latitude and longitude, you will be fine to visualize your data in a map. The next feature in the list is KPI Consumption. We actually have this feature as preview feature for the last few months. Now this month, it becomes a GA supported feature, and along with that we have a couple of improvements, which include support for navigation hierarchies as well as support for displaying KPI trends as part of your AS multidimensional models. Let's go and take a look at how this feature works. So we have an existing report that's connected live against analysis side, this is multidimensional. As you can see as I dig down in the fields pane, you start seeing display folders as well. This is another new feature this month. And then when I dig into grow revenue, you see a KPI here. When I expand the KPI, you see that we can access the value and the goal, the status and the trend. So let's go and build a table visual that has these values. Let me show you what the KPI visualization looks like, so you can actually use the value. Let's also show the goal, the status and the trend, so you can see how we have not just the actual values for the value and the goal, but also an indicator for the status which could be red, yellow or green depending on the current status capturing in the model. And also the trend, in this case, it's been stable. So that's a pre- important feature, you know, something that we've had as a preview feature for a few months. And based on your feedback, we've actually made these improvements in the last, in this last update and then gradually they featured to GA, so we encourage all of you to go start using it more broadly in your production scenarios and reports and continue sending us feedback if you find anything that should be or could be improving the feature. Let's go back into the list of new features. The next feature we kind of already covered is the support for display folders in the fields pane when you work in analysis services exploration mode. So let's go into the next one. We've made a few improvements to the ribbon layout while you are working in the report view. We've actually split the single home tab in the ribbon within two tabs now. We have a new tab for contextual report tools. They are contextual tools, the visualizations that you have selected in the report canvas. Let's go and take a look at how this feature works. We go back to our existing report here and you notice that if I don't have any visuals selected, I only see the home tab and the modeling tab. You might be missing some options in the home tab that used to be there like, for instance, alignment options, editing interactions between visuals, bringing visuals forward or sending them backwards in your C axis. We've actually moved those features to this new report tools tab which shows up as long as you select one or more visuals in the canvas. So now that I've selected one, you see these new visual tools format, and here you have all of the options that used to be in the home tab. The reason why we did this again was because we've been having so many features to the report, to the report canvas and to the home tab in the ribbon, that it actually became too many elements in the home tab that it was hard to visualize in some smaller monitors for some users. So we actually made this to optimize the layout a little bit and give you a more focused experience for actually formatting and interacting with your visualizations. Going back to the list, we also have a new visualization this month. It's a new visualization that's specialized for visualizing KPIs, so it's gonna allow you to basically, allow to visualize the current KPI value and also the trend over time. And also be able to compare that with target values which you can set either through a measure or based on a different field in your model. Let's go and take a look at how this new visualization for KPIs work. We switch into a report that's basically, it's empty right now, it only has a few tables in the model, it has a table for sales, and within sales, I have a couple of interesting fields, I have units, I have revenue and I also have targets. I have a desired target and the min target. But you can find the new KPI visualization on the visualizations tab. When you click it, it will get out into the canvas. So from here, I can now add the fields to the visualizations pane, so that for instance, let's get something like the units. And we're gonna use the units as the indicator. So we're basically gonna be tracking the total units sold as our KPI. And then we also need to specify a trend axis so that we can measure how the KPI has been doing over time. So this is generally going to be date field. We're gonna use the date field over here. Actually, I picked the wrong date field, so I'm gonna go into the date table and I'm gonna pick the date field from here, that looks better. So what you see right now is the current value for units sold, so it's units sold in the latest year in the series, which in this case is 2015. So that means, we sold 233k units last year. And you can also see the trend, so it's actually been going down, but you notice how the color on the visual is actually grey. So why is this? This is basically the color that we're using to represent that, right now this is the current value and the trend for the KPI, but it is neutral because we haven't really assigned the target, so we don't really know if 233k units sold last year was good or was bad or was just average because we haven't defined those targets. So for that we can use the min target and desired target that I've defined here. These are actually very simple measures that I defined just for the sake of the demo, so I defined the KPI, the desired target as being 1.2 times the actual value of the KPI and the min target it's just 0.8. So of course now, if we drag the min target to the target goals bucket, you're gonna see it turn green because it's basically telling us that we're selling about 25 percent above the min target that we were shooting for, so it's gonna turn into green. It also shows a tick over here to display the fact that we are above our target. Now, you could change this to be just the desired target. And so I remove the min target and I add the desired one. And in this case, it actually shows you in red because it's of course telling us that we are underperforming, we've sold 16.67 percent less than we were expecting or that we were targeting for. Now, you could also have a little bit more of an advanced case or more customized experience if you define multiple target goals. So if I drag the min target to the target goals and then I drag the desired target, this is gonna basically color code this with a third stage which is the yellow. Yellow means we are in between the lower target and the higher target, but we still didn't meet the higher target, so that we are kind of in that yellow area, it's a mild sentiment, if you will, for that KPI. Now, the other interesting thing that I can show you here, and it goes back to the feature that I just showed you with C data is that we can go and see the actual data behind. In this case, it actually makes more sense to use a vertical view. And you can see what the data is being displayed in this KPI visual. We're displaying data since 1999 till 2015 with the total units sold by year along with the minimum and desired targets for each year and that's basically what's mapping to the values being displayed in the KPI visual. [What's New in the Power BI Desktop February 2016 Update?] All right, so going back to the list of features. [What's New in the Power BI Desktop February 2016 Update?] The next improvement this month is kind of a usability [What's New in the Power BI Desktop February 2016 Update?] or kind of a shortcut improvement for people reopening their reports. We're basically making it such that if you clear a report or you view a report and you look at a specific page that's not the first page. Like let's say you go to page number 3 in your report and then you close your report while you're in page number 3. The next time that you come back and you open that report again, it will go straight to page 3. This kind of a little usability improvement we have from some people that they would like to customize that comeback experience, so now you have it and we hope you enjoy it. The next item on the list is the ability to jump straight into the edit query option from within the fields pane, so basically you're gonna be able to select the specific table in the fields pane and say edit query and that will bring you back to the Query Editor dialog and select that query for you. Let's take a look at how this feature works. We're going back to our report, so let's say that we would like to modify the order details table. I can click the dot-dot-dot or right click to get into the context menu. And from here, I have this new edit query option. When I click it, it will bring up the Query Editor and it's gonna show me this order details table. I actually had to renew by creds so bear with me on that. I'm gonna use my current and connect. So this actually lets me... Now, get straight into the order details table, which is exactly the one that I wanted to modify since I was like coming from the report view. So no more need to go into the edit queries view and then find your table in the queries pane on the left. You can just jump straight to the one that matters to you at that time. [What's New in the Power BI Desktop February 2016 Update?] The last new feature on the report offering this month [What's New in the Power BI Desktop February 2016 Update?] is the ability to duplicate pages directly from the ribbon. [What's New in the Power BI Desktop February 2016 Update?] Let's go and take a look at how this feature works. We used to have the option to duplicate page from the right click menu on the page tab at the bottom of the screen. Now, we've also added this under the new page option in the ribbon. It used to be new page as blank page. Now, we've actually turned that into a split button that gives you either new page, blank page if you click on the top of the split button on the bottom. And then if you go into the dropdown, you have this second option to duplicate the current page. And that will give you a duplicate just as you would do through the right click menu, but we heard the feedback that it was much more efficient for people to do it from the new page menu and it was kind of a nice addition and, you know, low hanging fruit for us to go do, so, here it is. More goodness coming to the ribbon this month. Going back to the list. [Data Modeling] We can now switch to the next category [Data Modeling] of improvements this month, [Data Modeling] which is improvements within the data modeling category. [Data Modeling] The first one has been also very commonly and frequently requested [Data Modeling] from many of you for the last several months [Data Modeling] is the ability to define hierarchies using Power BI Desktop. How cool is that? Yes, it's really cool and it actually opens up lots of new capabilities with Power BI Desktop so that you can create your custom hierarchies within the fields pane in the report view and you're gonna be able to also use these hierarchies in your visuals. So, for instance, you could combine the power of hierarchies, custom hierarchies with the ability to configure drill down and drill up behaviors in your visuals and that's gonna open up lots of new capabilities for you in your report browsing experiences. Let's go and take a look at how this feature works. I have a report here and I'm gonna go and make this visual a little bit smaller, move it to the side. So we're gonna go and look at total sales by country and then we're also actually gonna expand that into hierarchy so that we can look at sales by state and sales by city as well. We're gonna dig into the orders table. This is the one in which I have my ship country, ship city and also the ship address, so we can actually define here the hierarchy by right clicking into a field and we have this new hierarchy option. Once I click that, with ship country, we're gonna define the hierarchy. And it's empty for now, so I can, it only have ship country which is the one I right click on, so I can start adding new fields in here. I can go into ship, ship city, right click and say out to the ship country hierarchy. And then we can also right click on ship address and add that to the same hierarchy. We can also rename the hierarchy 'cause the default name it's kind of ugly, it's just the original field dot hierarchy, so we can actually rename that to say "location." And now, we can create a new visual, let's say we're gonna create a new column chart. And we can use total sales as the value which I have out here in my order details table. And we can drag the location into the axis. So that now we are looking at the hierarchy in our custom... Sorry, we're looking at the custom hierarchy within our column chart. And you notice how it defaults to the top level of hierarchy, ship country. We can actually remove fields from here if you're wanting to skip one of the levels of the hierarchy for the navigation. In this case, I'm just going to keep them all but you can see how now I could either drill all to the next level, so I'm gonna see total sales by city across all countries or if I go back up, I could enable drill down mode and I could drill down to a specific country like, for instance, let's go into the USA. And then we can see the next level of details for sales by city in the USA. And we can even dig deeper and pick something like Portland and we can see down to the street level, in this case, the final average for those customers within Portland. We're also planning to make additional enhancements to these hierarchies support over the next couple of months, so stay tuned for that. The first one that we're actually planning to do is concatenate the names within the hierarchy level, so for instance, in this level I should be able to see USA/Seattle/USA/Portland. And likewise when I drill into the next level, I should see USA, Portland and then the actual address, so that you keep notion of the context that you're within your hierarchy levels and the selections you made in previous levels. So more to come on that over the next couple of months. We hope you enjoyed the current set of capabilities for hierarchies. We know, it's a huge milestone for us. It brings a lot of new capabilities to Power BI Desktop and we're looking forward to your feedback and to continue making improvements over the next few months. [What's New in the Power BI Desktop February 2016 Update?] Going back to the list. [What's New in the Power BI Desktop February 2016 Update?] The next improvement this month is performance improvement, [What's New in the Power BI Desktop February 2016 Update?] so you'll actually notice that as you rename tables and columns [What's New in the Power BI Desktop February 2016 Update?] within the data view or the report view, those are actually gonna be much faster. It used to take before a few seconds and it used to do some reload and refresh operations for the data, for the metadata. Now, it actually will happen straight and you will not notice any lag in those renames. So again, another one of those things that we're working a lot incrementally with lots of performance improvements coming here and there across the product every month. [Data Connectivity] The last group of improvements this month is around data connectivity [Data Connectivity] and we have long list here, [Data Connectivity] so we're gonna go and talk about it for a little while. [Data Connectivity] The first item is a new DirectQuery support [Data Connectivity] for Oracle and Teradata. [Data Connectivity] As you know, we provided or enabled DirectQuery support, [Data Connectivity] so that people could work directly against their [Data Connectivity] remote data sources while interacting with their reports. [Data Connectivity] We added this a few months ago for a few different data sources [Data Connectivity] including SQL Server, SQL Azure, SQL Azure data warehouse [Data Connectivity] and also SAP HANA, [Data Connectivity] we GAed all of those capabilities about a month or two ago. [Data Connectivity] Now, this month we're also expanding to a few more data sources, [Data Connectivity] which include Oracle and Teradata databases. [Data Connectivity] The only thing to keep in mind though is that [Data Connectivity] this is a preview feature for now, so you'll actually have to go and turn on this preview feature. Let's go and see where you can actually turn this on. You can go into the file menu. Go into the options dialog through options and settings and within here under global you have this preview features tab. You can come here to actually enable DirectQuery for Oracle and Teradata. You also have learn more as a place to go so that can you find more information about what this feature does. Basically, once you enable this, you will be able to go, connect to Oracle, for instance, and you will be able to then specify the connection mode as you select data and then finally click load. They're pretty much just like it works for the other data sources like SQL Server and Azure and HANA that we used to support, but it's just I think this support for this two new data sources as well. [What's New in the Power BI Desktop February 2016 Update?] The other enhancement that we're making this month [What's New in the Power BI Desktop February 2016 Update?] for DirectQuery is the ability to create calculated columns. [What's New in the Power BI Desktop February 2016 Update?] Last month we added the ability to create measures. [What's New in the Power BI Desktop February 2016 Update?] This month we're expanding that set of capabilities for DirectQuery [What's New in the Power BI Desktop February 2016 Update?] so that it also supports calculated columns. Again, another pretty important capability within DirectQuery mode that we're enabling and will continue making more and more improvements to DirectQuery over the next few months. It's one of our bigger areas of investments right now within the desktop. So stay tuned for more improvements coming on DirectQuery soon. Then next item on the list is the ability to, when you publish analysis services live report, be able to select which gateway, which enterprise gateway you would like to use for this report to be able to hit the underlying or the on-prem analysis service model from So basically the situation before this update was that, once you connected, or once you published a report that connected to analysis services live, if you had only one enterprise gateway configured, it will just work, but if you have multiple enterprise gateways available to you, it will actually fail because it wouldn't know which one of those two or multiple gateways to use. So we're actually now adding a new dialog as part of the publish workflow, so that you can select which gateway you would like to use for actually refreshing and connecting that report to the underlying analysis services model. The next feature this month is a new connector for JSON files. Let's go and take a look at this connector. So we used to have the ability to connect to JSON data through either the web connector or any of the front file options. And if you ended up picking a JSON file, we would be able to understand that file just fine. So what we're adding this month is not the capability to import JSON data which was already there, it's been there for years actually, but actually the discoverability of that entry point. So now when you go to get data, we have within file, we have a new entry point for JSON. So when you select that option, it will filter down to JSON, the jsonextension.jsonextension. And then it will give you the ability to select that file and click open. So now what we're gonna do is actually parse that employees file, it returns a list of records. So if we look at the original JSON file, it looked like this. It's a list of employees, a list of records with employee information. What we need to do now is actually convert this list into a table. And from here you can actually expand this field and it gives me the first name and last name and when I expand them, they just look like you would expect, so you have a table with two columns, that maps to the data that was available in the JSON file. Again, this is available not just through the front file menu but actually if you use a URL that connects to a JSON to an end point that returns a JSON file or a JSON data, it would actually parse it the same way. So you can use this to connect to any rest APIs that return JSON data out there or if you have a local file you could also go through with JSON file. [Data connectivity] The next feature this month is a new connector for SQL Sentry. [Data connectivity] We are very glad to be bringing this new connector. [Data connectivity] SQL Sentry allows you to actually monitor [Data connectivity] and share performance and operational data [Data connectivity] collected from your SQL Server [Data connectivity] and it actually includes things like server health information, [Data connectivity] server availability, disk, memory, CPU utilization. We shipped a few ago the same connector for, well, the content pack for SQL Sentry in the as a content pack. And we also wanting to complement that with out of the box connector, so you could actually create your SQL Sentry reports from scratch, combine them with any other data coming from any other data source that you connect to with Power BI Desktop and bring lots and lots of new value to your users that can now monitor SQL Sentry data within Power BI Desktop reports and in So we're looking forward to your feedback about this connector and, of course, we'll continue bringing lots and lots of new connectors every month, so keep your feedback coming on that as well. The next feature this month, it's an enhancement to the CSV connector in Power BI Desktop, so that it now supports jagged CSV files. Let's take a look at what we mean by that. I have the following CSV file here in Excel where you notice that I have data, for the first column I have... For the first row I have four columns. Now for the second column, for the second row, I only have three. The last column is empty. So it used to be before that if you try to import this data into Power BI Desktop, it will actually not know how to properly detect that these actually had four columns and then the first row had only three so it would leave the last one blank. Now, we've actually improved our detection logic in this case, it's supported, so if we go back into Power BI Desktop and we add the new data. We add new data form CSV. We can pick the jagged CSV file. And now we're gonna preview and you see how it actually properly detects these tables, so now we can say load and it will just work for us. So small improvement, you know, optimization of CSV is one of the most popular connectors in Power BI Desktop and we continue making improvements over time on it, so please keep your feedback coming. The next improvement this month is new OAuth or organizational account support for connecting to exchange. Now you can use OAuth when you actually connect to exchange so you will see these when you connect through the exchange connector and you will be prompted for credentials that you have a second tab within the credentials dialog that will let you use OAuth connectivity, OAuth credentials type. The next improvement this month is also kind of a usability improvement for one of our existing connectors, which is the SharePoint List Connector. We notice that many people when they try to connect to their SharePoint, to a SharePoint List, they actually provide the wrong URL, so there's basically two right choices. You could connect to the specific SharePoint List by using the old data connector if you have the actual URL straight to the list or if you're wanting to use the SharePoint List connector, you need to provide the URL to the root of your SharePoint site. And that will basically detect all of the SharePoint Lists within your site and let you pick the one you want to use. So now if you go into the SharePoint List dialog and you provide a URL that doesn't look the root URL, we'll actually give you an error message and tell you that you need to provide the better URL and we will not let you click next or connect until you provide that right URL, so we're trying to avoid you extra steps in the flow to get down to something that's a narrower path. So we're trying to simplify that experience. The next new item this month, going back to the list, is set of improvements to the database connectors. This actually allows you to disable navigational columns when you're, when you're connecting to databases, so basically navigation columns are extremely useful when you try to either expand or aggregate fields from a related table in a database. For instance, if you're looking at a customers table that has relationships to an order table, you could actually see these navigational columns in the customer's table to orders, so that you could expand fields from the orders table, so for instance, you could get all the orders for every single customer and expand them into new rows in the customers table or you could even do aggregate operations. So for instance, you could go into these navigation columns for orders and you do the sum of the total order price and things that will let you promote aggregated values from the order tables right from within the customers table. Now, that's a very useful capability but it also comes at a price which is there's a performance hit and it actually will take longer to load your customers table if Power BI Desktop needs to analyze and detect and load these navigational columns for orders and maybe other tables like suppliers or employees or something like that. So what we actually did in this release is allow you to specify from the data source builder, from the data source dialog an option to say, "I would not like or I would like to import this relationships or not." So, let's go and take a look at how that works. Let's go and take a look at how this feature works in Power BI Desktop, so we are back into our existing report. I'm gonna go into get data and I'm going to go into the databases category and I'll select Oracle. We've actually made this capability available for all of the databases within this list except for SQL Server database and Azure. That will be coming in a subsequent update, so stay tuned for that. So let's select, for instance, Oracle. Now, we've seen the data source dialog here, you can specify the server and you also get this extra option to import relationships between tables. The default is checked which matches preview's capability or the preview's functionality before this update. Now if you uncheck this and you connect, you will notice that there is a much slower or it's much faster to actually load your list of tables as well as the previews for each specific table. [What's New in the Power BI Desktop February 2016 Update?] Going back to the list. [What's New in the Power BI Desktop February 2016 Update?] The next improvement this month [What's New in the Power BI Desktop February 2016 Update?] is improvement to the credentials prompt. [What's New in the Power BI Desktop February 2016 Update?] When you connect to web data source [What's New in the Power BI Desktop February 2016 Update?] that will allow you to specify the level at which [What's New in the Power BI Desktop February 2016 Update?] you would like to apply the credentials [What's New in the Power BI Desktop February 2016 Update?] or the privacy levels that you're being prompt for. [What's New in the Power BI Desktop February 2016 Update?] So basically now you're gonna be able to pick any level from within the hierarchy. [What's New in the Power BI Desktop February 2016 Update?] It used to be the case before that you would only be able to pick [What's New in the Power BI Desktop February 2016 Update?] either the domain level or the specific URL that you are connecting to. [What's New in the Power BI Desktop February 2016 Update?] Now you get a dropdown where you can pick any level from the hierarchy. [What's New in the Power BI Desktop February 2016 Update?] So that will help you better organize and manage the scopes [What's New in the Power BI Desktop February 2016 Update?] for your credentials and privacy levels in Power BI Desktop. [What's New in the Power BI Desktop February 2016 Update?] The next improvement this month is a set of enhancements to the enter data dialog. We ship this feature back in December, the enter data dialog, and it was really popular. It allows users to either create a table manually or paste in some content from the clipboard. So this month we're improving that dialog so that it does things like, for instance, automatically detecting headers when you're pasting data. Let's go and take a look. I'm going back to my existing report and I'm gonna click enter data which is available from the home tab in the ribbon. And I get to the create table dialog here. Let's make it a little bit smaller so it fits my screen. Now I'm gonna go into excel where I have a table. One of my favorite tables ever, this is fruits. So I'm gonna copy this two-column table with fruit and quantity, you would expect that the first column should be detected as column headers because it clearly because of the quantity column where all the row values are numbers except for the first one. This clearly demonstrates or indicates that the first row here would actually be the column headers. So when we come back to create table, I can just do a ctrl+v. Maybe if I did a ctrl+c before that would work better. And now when you paste, it actually paste it that way. In fact, I'm gonna repeat it again because you would... I was already selecting the first table, sorry, the first row or the header row. So it actually thought that I was just knowing that but if I come in without even selecting the column headers and I paste in, I'm gonna get this warning on top that tells me that we've automatically promoted the first row to become the column headers. You could undo from here but in this case, I'm good with that so I can just click load at this point and get my new table loaded. So a little usability improvement on top of this feature will make things simpler for you to work with when you create your tables through the enter data dialog. [What's New in the Power BI Desktop February 2016 Update?] The next two features are actually enhancements through SAP HANA. [What's New in the Power BI Desktop February 2016 Update?] We've enhanced the SAP HANA connecter which, [What's New in the Power BI Desktop February 2016 Update?] as you know, became a GA supported connecter last month. This month we're actually improving it in two different ways. The first one is that we're supporting single sign on with windows authentication. Notice that this feature is actually only available within power BI desktop right now. So if you use this single sign on, it's only within desktop. When you go configure your enterprise gateway for SAP HANA, you will not have this option available but you can start using it now with Power BI Desktop. The second improvement this month for SAP HANA is supporting field labels. So if you have field labels, they will start showing up in your navigator, if you go through import mode or if you use direct query as well. And you will be available to access them and see the actual field label values within this navigation experience. The next improvement this month, and we're getting now into the query transformation capabilities. It's the... It's an enhancement to the existing choose column dialog. It's a very common piece of feedback from many of you that you would like to customize the order of the columns that show up in these dialog. By default we would show the natural order which basically means the order in which those columns show up in your table. But many of you have expressed that it will be much more easy for you to use if this set of columns were sorted alphabetically. So we've added now an option so you can, you could pick the sort mode. And let's go and take a look at how this looks like in the latest update. We're going back to Power BI Desktop. We'll go into edit queries. And we select the table such like customers and from here we can go into the choose columns dialog from within the ribbon. This dialog would let me pick which columns I would like to keep and it would delete or remove all of the other columns from my table. By default it sorts by natural order which is the order in which it actually shows up in the table as you can see. Now I have this sort by option at the bottom where I can sort by name and it changes the order of my columns here and sorts them alphabetically by column name. So now they are easier for you to find and identify which ones you would like to choose or discard. The next improvement this month is improved performance for renaming, removing and reordering columns. We've dramatically improved the performance of these operations. It used to be such that when you apply the rename or the remove of a column or reordering columns, you would actually see those queries refresh back to the data source to bring the latest data. But now we've improved that so that this three operations happen locally so that there's no latency in getting ready for applying the next transformation for you, you don't have to wait after you rename columns or reorder them or remove columns. So that makes up for a much more interactive and user friendly experience for you. And it will really and greatly improve the experience that you get when working with tables in the query editor. So we hope you enjoy that and you will see these capability for lower latency operations that are performed locally. More and more for other operations over the next few months as well. So stay tuned for that. [What's New in the Power BI Desktop February 2016 Update?] The next item on the list is virtualized preview. [What's New in the Power BI Desktop February 2016 Update?] So this is kind of the technical name for it. [What's New in the Power BI Desktop February 2016 Update?] What it really means [What's New in the Power BI Desktop February 2016 Update?] is that actually we've improved our query editor preview capabilities [What's New in the Power BI Desktop February 2016 Update?] so that you no longer have any limitations in the amount of data that can be displayed. [What's New in the Power BI Desktop February 2016 Update?] It used to be that the query editor preview supported up to something around 3,000 cells. So it would either cut the number of columns or it would cut the number of rows that we display. Now we've completely changed that implementation so that we will load a certain amount of rows and columns and as you scroll either down or towards the right of your table, we will bring in more columns and more rows so that you will never get to see this warning telling you that we couldn't display all of the data. So it will make much more easier for you to work with wide tables. Generally, the scenarios that you have too many columns, it happens a lot when you connect to certain data stores where you have lots and lots of columns and the first thing you do is narrow down the number of columns but for that you actually like to see them. So having this feature in combination with choose columns that I just showed and the alphabetical sorting in that dialog makes up for a much better experience for you to subset the columns that you're seeing in your data set. [What's New in the Power BI Desktop February 2016 Update?] The next feature this month is visual indicator for unloaded queries in the query editor. [What's New in the Power BI Desktop February 2016 Update?] So as you may already know, [What's New in the Power BI Desktop February 2016 Update?] with Power BI Desktop you can decide which queries you would like to use [What's New in the Power BI Desktop February 2016 Update?] in the report and data views [What's New in the Power BI Desktop February 2016 Update?] and which queries you would like to not load [What's New in the Power BI Desktop February 2016 Update?] because they are just intermediate queries [What's New in the Power BI Desktop February 2016 Update?] and intermediate data that you actually do not need to use [What's New in the Power BI Desktop February 2016 Update?] in the report and data views. [What's New in the Power BI Desktop February 2016 Update?] You are just using those queries as a way to feed into other queries [What's New in the Power BI Desktop February 2016 Update?] that are the final ones that you load. [What's New in the Power BI Desktop February 2016 Update?] So you've always been able to disable load for these queries [What's New in the Power BI Desktop February 2016 Update?] but it was not very clearly indicated when a table was already disabled or not. [What's New in the Power BI Desktop February 2016 Update?] So now we've improved that with a visual indicator in the queries pane. [What's New in the Power BI Desktop February 2016 Update?] Let's go and take a look. We're going back to the query editor. So within here, I could unload the table by right clicking and unchecking the enable load option. It warns me about data loss warning because I actually already have this table on the report. In fact if I do this, I'm gonna break, but for the sake of showing the feature, I'll just do it. So now you can see how tables that are not loaded actually show up in italics here in the queries pane. That's a better indication for you so that you can see at a glance which tables are loaded and which ones are not. I'll bring that back into the original state so that I don't break my report. And you can see how it's clearly different, looks clearly different when you are looking at a table that's unloaded versus loaded. And that's exactly what we wanted to achieve, so we hope you like that approach. [What's New in the Power BI Desktop February 2016 Update?] The last feature this month is one of those 1-click transforms, [What's New in the Power BI Desktop February 2016 Update?] the new one that we've added. So as you know, we've been incrementally adding new 1-click transformations, which basically we have one goal with it, which is allows you to perform common transformations and common tasks much more easily. Many of these transforms have been possible to do through either multiple steps or through actually authoring some formulas, custom formulas within the query editor. Now based on your feedback, we continue adding more of these 1-click transformations every month. So the one this month is a percentage transform which would basically allow you to select a column within the query editor preview and specify a percentage to apply. So, for instance, if you had something like unit price and you would like to calculate 10 percent of that, you're gonna be able to do that just with a UI, you will not have to go into the custom column dialog and create a custom formula to calculate that percentage. Let's go and take a look at how this feature looks. We're going back into the query editor, we're gonna go into the order details table. Or actually, let's go into... Yeah, let's go into order details. So here we have the unit price. And you see it inserted percentage because I already did it, then I forgot to remove it before the demo but if I remove that column and I select unit price again, I can go into add column, go under standard and select the last option, which is percentage. At that point it will ask me the value that I should apply as the percentage. So if I say 10, it's gonna calculate the 10 percent of the unit price column. I click okay, you see now how it applied so 14, 1.4, 9.8, 0.98 and so on and so forth. Again, one of those little transforms that would make things and it will make your life easier as you work with the query editor. We hope that you continue sending us feedback about transformations that you would like to see made easier and use their usual channels, our user voice, send a smile, send a frown, the forums and we'll continue adding these not just for new transformations but for any other feature that you would like to see in Power BI Desktop. So this is actually the end of the video. We hope that you enjoyed all of these features. As I pointed out earlier, this is a really, really hot release with lots of new capabilities. We hope you enjoyed, we hope you continue sending us feedback, you continue using Power BI Desktop every day and together we'll make Power BI Desktop better going forward. So please stay tuned for future updates and stay in touch. Thank you.

Video Details

Duration: 41 minutes and 45 seconds
Language: English
License: Dotsub - Standard License
Genre: None
Views: 8
Posted by: mihart on Mar 4, 2016


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