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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:02,000 Instructor: So let's talk about external tools 2 00:00:02,000 --> 00:00:03,000 in Power BI. 3 00:00:03,000 --> 00:00:05,000 Now, these tools allow quick access 4 00:00:05,000 --> 00:00:08,000 to third-party tools that are locally installed 5 00:00:08,000 --> 00:00:11,000 on your computer and registered with Power BI. 6 00:00:11,000 --> 00:00:14,000 It's really important to note that the External tools menu 7 00:00:14,000 --> 00:00:17,000 on Power BI desktop will not appear 8 00:00:17,000 --> 00:00:19,000 unless those two conditions are met 9 00:00:19,000 --> 00:00:21,000 for third-party tools that you're trying to add. 10 00:00:21,000 --> 00:00:24,000 Once they're installed on your local machine, 11 00:00:24,000 --> 00:00:26,000 you'll be able to access them directly 12 00:00:26,000 --> 00:00:28,000 from this External tool menu. 13 00:00:28,000 --> 00:00:31,000 And here you can see that I've added three tools, 14 00:00:31,000 --> 00:00:34,000 Bravo, DAX Studio, and Tabular Editor. 15 00:00:34,000 --> 00:00:36,000 Now there are many, many more tools 16 00:00:36,000 --> 00:00:40,000 across different categories, and generally these tools 17 00:00:40,000 --> 00:00:42,000 fall into one of the following categories, 18 00:00:42,000 --> 00:00:47,000 semantic modeling, data analysis, and then miscellaneous. 19 00:00:47,000 --> 00:00:49,000 Now, the semantic modeling tools are great 20 00:00:49,000 --> 00:00:52,000 for extending Power BI's functionality, 21 00:00:52,000 --> 00:00:54,000 like digging deeper into your DAX optimizations, 22 00:00:54,000 --> 00:00:57,000 application lifecycle management, 23 00:00:57,000 --> 00:00:58,000 advanced data modeling scenarios, 24 00:00:58,000 --> 00:01:02,000 metadata translation, and much, much more. 25 00:01:02,000 --> 00:01:05,000 So some common examples of tools in this category 26 00:01:05,000 --> 00:01:07,000 are DAX Studio, ALM Toolkit, 27 00:01:07,000 --> 00:01:10,000 Tabular Editor, and Bravo. 28 00:01:10,000 --> 00:01:13,000 Up next we've got our data analysis tools 29 00:01:13,000 --> 00:01:14,000 and these are really all 30 00:01:14,000 --> 00:01:16,000 about connecting Power BI data models 31 00:01:16,000 --> 00:01:20,000 to client applications in a read-only mode 32 00:01:20,000 --> 00:01:24,000 to query and perform different data analysis tasks. 33 00:01:24,000 --> 00:01:26,000 So some common tools or integrations here 34 00:01:26,000 --> 00:01:30,000 are with Python, Excel, and Power BI Report Builder. 35 00:01:30,000 --> 00:01:32,000 And finally, we have the miscellaneous category, 36 00:01:32,000 --> 00:01:36,000 which contains tools like PBI.tips tutorials, 37 00:01:36,000 --> 00:01:41,000 DAX Guide, PowerBI.tips, and much more. 38 00:01:41,000 --> 00:01:42,000 And these tools are all 39 00:01:42,000 --> 00:01:45,000 about making Power BI more accessible and useful 40 00:01:45,000 --> 00:01:47,000 but they don't actually connect 41 00:01:47,000 --> 00:01:49,000 to raw data or the data model. 42 00:01:49,000 --> 00:01:51,000 They're really just for informative sources. 43 00:01:51,000 --> 00:01:53,000 Now, you can also check out the URL 44 00:01:53,000 --> 00:01:56,000 at the bottom of the slide here for more details 45 00:01:56,000 --> 00:01:58,000 about the types of third-party tools that are supported 46 00:01:58,000 --> 00:02:00,000 and what they do exactly. 47 00:02:00,000 --> 00:02:02,000 If you're looking for a starting point, 48 00:02:02,000 --> 00:02:04,000 I'd recommend downloading the most recent version 49 00:02:04,000 --> 00:02:06,000 of DAX Studio and really digging 50 00:02:06,000 --> 00:02:08,000 into the capabilities of the tool. 51 00:02:08,000 --> 00:02:09,000 It's seriously cool 52 00:02:09,000 --> 00:02:13,000 and can help you dive deeper into your DAX optimizations. 53 00:02:13,000 --> 00:02:15,000 All right, so that's gonna wrap things up 54 00:02:15,000 --> 00:02:17,000 for this lecture and for the course. 55 00:02:17,000 --> 00:02:20,000 If this is your first interaction with Power BI, 56 00:02:20,000 --> 00:02:22,000 your journey is really just starting with the tool. 57 00:02:22,000 --> 00:02:24,000 On behalf of both Chris and myself, 58 00:02:24,000 --> 00:02:27,000 it's been our pleasure teaching you Power BI 59 00:02:27,000 --> 00:02:28,000 and we can't wait to see what you create 60 00:02:28,000 --> 00:02:30,000 with what you've learned so far. 61 00:02:30,000 --> 00:02:32,000 Enjoy the bonus project. 62 00:02:32,000 --> 00:02:35,000 We'll see you in the next course, and learn on. 4885

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