1 00:00:00,390 --> 00:00:05,460 In the introductory section, I showed you how to build this pivot table with power, pivot quickly 2 00:00:05,460 --> 00:00:09,960 and without a single formula written, but I still haven't told you what power pivot is. 3 00:00:10,470 --> 00:00:14,640 Power Pivot is part of what Microsoft calls cell service business intelligence. 4 00:00:15,070 --> 00:00:21,060 It's an analytics cube that gets built and handled entirely with an excel by you bringing a limited 5 00:00:21,060 --> 00:00:26,490 version of SQL Server Analytics components directly to your fingertips with no SQL knowledge required. 6 00:00:27,210 --> 00:00:33,360 Power Pivot was originally released as a separate add on that with the release of Office 365 was only 7 00:00:33,360 --> 00:00:35,880 included with select business subscription tiers. 8 00:00:36,270 --> 00:00:41,760 In 2019, Microsoft bowed to pressure and made power pivot available to all business subscriptions. 9 00:00:41,760 --> 00:00:47,790 And so, as of roughly June 2019, all Business Excel installations have access to the full suite of 10 00:00:47,790 --> 00:00:48,090 power. 11 00:00:48,090 --> 00:00:54,180 Pivot features, power pivots, analytics Cube is called the Excel data model and pivot tables that 12 00:00:54,180 --> 00:00:55,620 reference this data model. 13 00:00:55,620 --> 00:01:00,420 As shown here are the primary method of extracting the information that is held within. 14 00:01:00,810 --> 00:01:06,210 Looking at the data connection for our pivot table, we can see the this workbook data model where in 15 00:01:06,210 --> 00:01:07,530 the data model resides. 16 00:01:08,310 --> 00:01:13,410 Working with the power pivot is primarily about defining and structuring the data model in such a way 17 00:01:13,650 --> 00:01:16,850 as to make pivot tables and pivot charts flow effortlessly. 18 00:01:17,880 --> 00:01:20,130 So what are some of the tools at our disposal? 19 00:01:20,730 --> 00:01:23,400 The tool we used in the introduction was the relationships. 20 00:01:23,400 --> 00:01:28,620 Ed will see many different ways to define these relationships through this course, but this one can 21 00:01:28,620 --> 00:01:33,510 be found on the pivot table, analyze dynamic reben as well as on the data Rebin. 22 00:01:34,610 --> 00:01:41,390 Up next is the power of its specific ribbon here you have access to the data model measures, KPIs and 23 00:01:41,390 --> 00:01:46,550 settings, along with commands for adding tables directly to the data model and detecting relationships 24 00:01:46,550 --> 00:01:47,780 in the existing workbook. 25 00:01:49,130 --> 00:01:54,530 If your cell does not have this ribbon, do not fret, simply go to the data tab and click on the data 26 00:01:54,530 --> 00:01:55,510 model button here. 27 00:01:56,180 --> 00:02:01,460 If this is the first time you've done this, Excel ask you if you want to install the analytics adn 28 00:02:01,910 --> 00:02:02,660 simply press. 29 00:02:02,660 --> 00:02:03,080 Yes. 30 00:02:03,290 --> 00:02:06,020 And you'll have your power pivot ribbon show up there after. 31 00:02:07,020 --> 00:02:11,700 When you do press this button, the power pivot, for example, window will launch with its own ribbons 32 00:02:11,700 --> 00:02:12,440 and interface. 33 00:02:12,930 --> 00:02:14,760 There are two primary views within power. 34 00:02:14,760 --> 00:02:17,520 Pivot, the data view and the diagram for you. 35 00:02:17,910 --> 00:02:22,740 Initially, we're looking at the data view, which has our tables listed along the bottom that we can 36 00:02:22,740 --> 00:02:24,480 flip through like Excel worksheets. 37 00:02:25,110 --> 00:02:30,390 And if we look at our home tab of the ribbon and choose diagram for you, we get a high level picture 38 00:02:30,390 --> 00:02:32,520 for how our data is mapped together. 39 00:02:33,720 --> 00:02:39,600 The power private home tab is primarily for importing data, but it also includes some filter, sort 40 00:02:39,780 --> 00:02:41,260 and view commands as well. 41 00:02:42,270 --> 00:02:47,970 The design tab allows for some customization of our model, including relationships, function definitions 42 00:02:47,970 --> 00:02:48,920 and data management. 43 00:02:49,380 --> 00:02:51,810 We'll go through these in more detail later as well. 44 00:02:52,230 --> 00:02:57,030 The advanced Drebin gets into a series of more complex features that go beyond the scope of this course 45 00:02:57,030 --> 00:02:58,260 so we won't get into them. 46 00:02:58,770 --> 00:03:04,670 In a nutshell, Power Pivot is a localized data analytics cube that's encapsulated it with an excel. 47 00:03:05,280 --> 00:03:11,160 In our next lesson, we'll dive in and learn about data relationships conceptually, how to define them 48 00:03:11,160 --> 00:03:13,470 and then use them with an Excel data model.