Meeting Title: Topics + Exec fin dash (P0) Review Date: 2026-02-16 Meeting participants: Mustafa Raja, Mustafa’s Loom Notetaker, Greg Stoutenburg


WEBVTT

1 00:00:29.330 00:00:31.179 Greg Stoutenburg: Hey, good morning, Mustafa.

2 00:00:37.450 00:00:38.730 Greg Stoutenburg: Hey, can you hear me?

3 00:01:17.990 00:01:19.699 Greg Stoutenburg: Hey, Mustaf, are you with me?

4 00:02:12.530 00:02:14.009 Mustafa Raja: Hey, can you hear me?

5 00:02:14.390 00:02:15.839 Greg Stoutenburg: Hey, can you hear me?

6 00:02:15.840 00:02:19.510 Mustafa Raja: Yeah, I had the speakers turned off.

7 00:02:19.510 00:02:33.110 Greg Stoutenburg: Okay, no problem. Yeah, no problem at all. Yeah, cool. I’m able to see that you got some building done on Friday, and that’s fantastic. So, yeah, cool, take me through it.

8 00:02:34.090 00:02:38.169 Mustafa Raja: Yes, let me share my screen in a moment.

9 00:02:38.280 00:02:45.840 Mustafa Raja: Have I eaten… Okay…

10 00:02:49.680 00:02:53.119 Mustafa Raja: Okay, this is the wrong one. Let me share again.

11 00:02:55.560 00:02:56.360 Mustafa Raja: This one.

12 00:02:58.410 00:03:01.139 Mustafa Raja: Okay, you can see… see the… see the only, right?

13 00:03:01.570 00:03:02.700 Greg Stoutenburg: Yeah, I see the login.

14 00:03:02.700 00:03:10.600 Mustafa Raja: Yeah, so, I think the main here… main thing here to look into would be… Wait, huh?

15 00:03:11.930 00:03:13.570 Mustafa Raja: Would be the topics, right?

16 00:03:14.330 00:03:14.980 Greg Stoutenburg: Yep.

17 00:03:15.310 00:03:16.420 Mustafa Raja: So…

18 00:03:19.830 00:03:34.160 Mustafa Raja: So there weren’t good, good joins, among the different tables, right? So, what my idea was, all of this revenue and market performance could be just one topic, right? But, since…

19 00:03:37.320 00:03:40.889 Mustafa Raja: Yeah, since this table doesn’t join with these two tables.

20 00:03:41.610 00:03:48.099 Mustafa Raja: This had to be, you know, a different, these had to be different topics.

21 00:03:48.680 00:03:51.869 Greg Stoutenburg: Okay. But these are grouped by the same topic, you know?

22 00:03:51.870 00:04:01.019 Mustafa Raja: So, the AI should be able to look into, all these topics under this same group, you know?

23 00:04:01.710 00:04:07.729 Mustafa Raja: So if anyone wants to talk about revenue, these topics are going to come up, you know?

24 00:04:07.980 00:04:09.190 Mustafa Raja: Does that make sense?

25 00:04:09.600 00:04:16.980 Greg Stoutenburg: Yes, it does. So what you’re saying is, given that Omni defines a topic as a particular dataset.

26 00:04:17.700 00:04:29.680 Greg Stoutenburg: Everything that we have under revenue and marketing performance are three separate topics. However, when they use the AI feature, it can still be tuned to look at any of those three datasets, right?

27 00:04:29.680 00:04:30.360 Mustafa Raja: Yeah.

28 00:04:30.660 00:04:32.020 Greg Stoutenburg: Got it. Okay.

29 00:04:32.820 00:04:34.539 Greg Stoutenburg: Cool. That’s fine.

30 00:04:34.650 00:04:39.799 Mustafa Raja: And over… View of revenue. Let’s see what it does. Revenue.

31 00:04:39.800 00:04:40.370 Greg Stoutenburg: Yeah.

32 00:04:41.280 00:04:42.040 Mustafa Raja: revenue.

33 00:04:43.700 00:04:49.639 Greg Stoutenburg: Now, when we look at this, will we be able to see, okay, I’m gonna look at this topic, and this topic, and that topic?

34 00:04:51.240 00:05:08.089 Mustafa Raja: Yeah, so we, right now, what it does is it, you know, selects the revenue, or whatever the topic, automatically. I’m just trying to see what it does. I haven’t tried out the AI feature. I didn’t try it out, on Friday, so I’m just doing it for the first time, too.

35 00:05:08.440 00:05:09.419 Greg Stoutenburg: Yep, that’s fine.

36 00:05:16.000 00:05:16.940 Mustafa Raja: Hmm.

37 00:05:17.350 00:05:21.889 Mustafa Raja: Would be nice to see if I would know exact topic it used.

38 00:05:22.660 00:05:23.930 Greg Stoutenburg: Yeah, that would be nice.

39 00:05:24.130 00:05:26.310 Mustafa Raja: Dimiti. Pretty…

40 00:05:27.170 00:05:29.220 Greg Stoutenburg: Yep, cool, it’s gonna give you the table.

41 00:05:29.560 00:05:31.230 Mustafa Raja: Topic revenue summary.

42 00:05:31.560 00:05:32.300 Greg Stoutenburg: Yep.

43 00:05:33.400 00:05:34.090 Mustafa Raja: Okay.

44 00:05:34.820 00:05:47.840 Mustafa Raja: Yeah, this one, yeah. So, so, so it went to that with the revenue, group, and then selected one, right? So, I feel pretty good about this. Now, this mapping, this mapping is,

45 00:05:47.840 00:05:59.119 Mustafa Raja: So, a topic really is how, how they have joined, multiple tables in, what’s it called? In Tableau itself.

46 00:05:59.120 00:06:08.170 Mustafa Raja: So if Tableau… so if Tableau is going to have a model that’s joining multiple tables, we’ll have exact same representation of it in topics, you know?

47 00:06:08.190 00:06:09.450 Mustafa Raja: Does that make sense?

48 00:06:09.860 00:06:10.820 Greg Stoutenburg: Yes, it does.

49 00:06:11.040 00:06:16.529 Mustafa Raja: Okay, yeah, and then further, we are just going to categorize, categorize it in, you know.

50 00:06:17.110 00:06:32.669 Mustafa Raja: these groups. Now, I haven’t added any AI context right now, you know? So, what that means is, the AI assistant or blobby right now, does not know, you know, what field is doing what.

51 00:06:32.670 00:06:42.670 Mustafa Raja: You know? It’s just going off of topic names, and then groups. I believe once we add more context about tables, and then topics themselves.

52 00:06:42.870 00:06:48.040 Mustafa Raja: it’s going to get better, you know? So, this is more context for Blobby, you know?

53 00:06:48.220 00:06:50.199 Greg Stoutenburg: Yep. Okay.

54 00:06:50.510 00:07:03.489 Greg Stoutenburg: this… I like this structure. So now, with Blobby, we can… we can point Blobby at the revenue tables, right? Even if the topics are separate.

55 00:07:03.660 00:07:08.019 Mustafa Raja: Yes, we could explicitly select the topic also, you know?

56 00:07:08.210 00:07:12.109 Mustafa Raja: So I can… I can… so right now, it’s just auto-select, right?

57 00:07:12.370 00:07:16.089 Greg Stoutenburg: Yeah. I just asked it… previously, I just…

58 00:07:16.100 00:07:16.860 Mustafa Raja: Or let’s.

59 00:07:16.860 00:07:19.270 Greg Stoutenburg: Yeah, you said, give me a revenue overview, yeah.

60 00:07:19.640 00:07:20.640 Mustafa Raja: Yeah.

61 00:07:20.640 00:07:21.320 Greg Stoutenburg: Yep.

62 00:07:21.320 00:07:26.059 Mustafa Raja: Yeah, I asked it to give me a revenue overview, it did. It did so.

63 00:07:26.060 00:07:27.349 Greg Stoutenburg: Oh, there’s your query.

64 00:07:27.570 00:07:35.770 Greg Stoutenburg: Yeah, your query’s right there at the top, right? So that’s gonna… that’s what got, up one bar. Yeah, okay, so it does show the table right there, and it tells

65 00:07:36.240 00:07:37.330 Greg Stoutenburg: revenue summary. Cool.

66 00:07:37.330 00:07:37.890 Mustafa Raja: Yeah.

67 00:07:38.310 00:07:38.910 Greg Stoutenburg: Yeah.

68 00:07:39.110 00:07:44.569 Mustafa Raja: Yeah, so this is the revenue summary, is the topic, and then the column, and then stuff.

69 00:07:44.570 00:07:45.300 Greg Stoutenburg: Got it.

70 00:07:45.300 00:08:03.540 Mustafa Raja: So it’s able to… what I’m trying to say, it’s able to infer, okay, which topic does it really need to, you know, go into to get my answer, you know? And then… and then right now, it doesn’t… it doesn’t have greater context on what… what this topic specifically is doing, right?

71 00:08:03.540 00:08:07.259 Mustafa Raja: Once we add that, it’s going to improve, I believe. So…

72 00:08:07.680 00:08:13.919 Greg Stoutenburg: Yeah, let me know your thoughts on this, if this is a good direction, or do we need to look into something else?

73 00:08:14.220 00:08:20.329 Greg Stoutenburg: I think it is as long as Blobby can look at revenue and marketing performance as a group.

74 00:08:20.620 00:08:22.650 Greg Stoutenburg: Can Blobby look there as a group?

75 00:08:23.470 00:08:30.340 Mustafa Raja: So what we would want to do is we would want to select multiple tables, is what you’re saying, right?

76 00:08:30.340 00:08:31.849 Greg Stoutenburg: Yeah, essentially, yes.

77 00:08:31.850 00:08:32.690 Mustafa Raja: Yeah, okay.

78 00:08:32.690 00:08:34.700 Greg Stoutenburg: like, select the folder, basically.

79 00:08:34.700 00:08:36.569 Mustafa Raja: Okay, okay, let me see, let me see.

80 00:08:38.080 00:08:42.620 Greg Stoutenburg: I actually like the idea that topics are defined as particular tables or joined tables.

81 00:08:42.900 00:08:46.399 Greg Stoutenburg: And I’m just wondering if…

82 00:08:47.250 00:08:50.940 Greg Stoutenburg: Yeah, I just want to make sure that we’re sort of doing it correctly.

83 00:08:50.940 00:08:52.460 Mustafa Raja: Yes, of course.

84 00:08:52.460 00:08:58.680 Greg Stoutenburg: Because if topics are supposed to be essentially folders, you know what I mean? Complete joined datasets.

85 00:08:59.800 00:09:00.930 Mustafa Raja: And performance.

86 00:09:00.930 00:09:02.359 Greg Stoutenburg: Then we should do it that way.

87 00:09:02.600 00:09:04.790 Greg Stoutenburg: But then again, even as I say that out loud.

88 00:09:06.980 00:09:12.909 Greg Stoutenburg: I don’t know that that makes… yeah, it seems like you should be able to just define the topic as any dataset you want.

89 00:09:13.060 00:09:16.040 Greg Stoutenburg: But still point Blobby wherever you want to point Blobby.

90 00:09:17.540 00:09:18.400 Greg Stoutenburg: You know?

91 00:09:18.400 00:09:19.390 Mustafa Raja: Yeah, yeah, yeah.

92 00:09:32.480 00:09:50.530 Mustafa Raja: Okay, hmm, so one thing I know about a query is, that a single query, is not going to come from multiple topics. One single query is going to be… is going to only run in one topic, right? But I believe…

93 00:09:51.170 00:10:01.710 Mustafa Raja: I believe if needed, it can take a look at, you know, multiple topics, but yeah, as far as charts are concerned, they are going to come from one single topic only.

94 00:10:02.170 00:10:08.250 Greg Stoutenburg: Yeah, okay. Is there a way to… So, remind me again why…

95 00:10:08.470 00:10:13.540 Greg Stoutenburg: The topics were set up to look at unique tables rather than joined tables?

96 00:10:14.170 00:10:17.850 Mustafa Raja: So I just couldn’t find appropriate joints.

97 00:10:18.660 00:10:19.980 Greg Stoutenburg: Okay. So…

98 00:10:20.170 00:10:23.340 Mustafa Raja: Let me… let me go ahead and share… share it with you.

99 00:10:23.340 00:10:26.750 Greg Stoutenburg: Yeah, and I respect that. I’m just… I just wanted to, you know, get it right again.

100 00:10:36.160 00:10:48.330 Mustafa Raja: Any topic in Workbook… Joins… So… Windows.

101 00:10:50.070 00:10:53.710 Mustafa Raja: So, you’d see, there is no ID here, right? So…

102 00:10:53.710 00:10:54.140 Greg Stoutenburg: Yeah.

103 00:10:54.140 00:11:02.490 Mustafa Raja: any of these columns, there’s just no I… there’s just no ID column. I guess what we could do is we could ask,

104 00:11:02.880 00:11:05.289 Mustafa Raja: You know,

105 00:11:06.510 00:11:16.260 Mustafa Raja: we could ask Demilade or Avish, you know, but I think that might require them going in dbt and setting it up. I don’t know if we want to do that.

106 00:11:16.560 00:11:17.920 Mustafa Raja: We don’t need to do that.

107 00:11:18.300 00:11:21.080 Mustafa Raja: Channel sales performance.

108 00:11:21.620 00:11:22.250 Greg Stoutenburg: Yeah.

109 00:11:22.850 00:11:24.950 Mustafa Raja: 4 fact transactions.

110 00:11:25.760 00:11:31.789 Mustafa Raja: Let’s do it with any of those facts. Transaction… transactions…

111 00:11:31.900 00:11:38.809 Mustafa Raja: So, yeah, no, if we take a look at this… I don’t think the ease…

112 00:11:39.180 00:11:50.879 Mustafa Raja: any good, you know, unique identifier that we could attach, you know? So, this one is pretty good. There’s customer ID, there’s this, this, this, this and that, right? But…

113 00:11:51.190 00:11:53.320 Mustafa Raja: Yeah…

114 00:11:55.750 00:11:56.500 Greg Stoutenburg: Okay.

115 00:11:56.620 00:12:11.839 Greg Stoutenburg: I say, for version 1 here, we’ll just stick with the strategy that you’ve chosen, and if feedback that we get from Eden stakeholders is that they’d like to be able to search across tables, then we can reevaluate if we need to do some modeling work to do that.

116 00:12:11.840 00:12:31.729 Mustafa Raja: I think, I think we could, we could, you know, maybe we could, right now, or later in the day, set up a meeting with, Demilade and Awesh, and maybe talk through this, if, if this is really a concern, you know, because, later on, if we, if we go and change the structure.

117 00:12:31.880 00:12:35.489 Mustafa Raja: That is going to affect the charts that we have already built.

118 00:12:36.170 00:12:43.119 Greg Stoutenburg: Okay, I see. Okay, well then… I think… Yeah, I mean…

119 00:12:43.120 00:12:51.800 Mustafa Raja: But right now, right now, what I will say right now is… What’s it called?

120 00:12:53.830 00:13:13.260 Mustafa Raja: We will be able to build all of the charts that are in Tableau, right? Since what we are essentially doing is we are one-to-one mapping the topics to whatever the model is existing there, so if there are going to be joints in Tableau, we should be able to translate that into topic easily, you know?

121 00:13:13.260 00:13:13.790 Greg Stoutenburg: Yup.

122 00:13:14.740 00:13:17.490 Greg Stoutenburg: Yeah, sounds good.

123 00:13:17.950 00:13:26.460 Mustafa Raja: Yeah, even with this, I don’t see a good join, you know? And this is one topic, so, you know, sorry, this is one topic group.

124 00:13:26.760 00:13:29.629 Mustafa Raja: And I don’t find good joints between… Yeah.

125 00:13:29.630 00:13:30.320 Greg Stoutenburg: Yeah, yeah.

126 00:13:30.320 00:13:31.630 Mustafa Raja: This is pretty much…

127 00:13:31.740 00:13:39.710 Greg Stoutenburg: Yeah, let me show you something that… this was… this was a suggestion from you, Tom, and so I turned it into a ticket,

128 00:13:40.370 00:13:48.719 Greg Stoutenburg: The ticket after the one that you’re working on right now is this build baseline semantic layer for the topics to get models, columns, and views.

129 00:13:48.850 00:13:58.580 Greg Stoutenburg: Would this… be the piece of the solution to make it so that Blobby searches groups of tables?

130 00:13:59.740 00:14:12.300 Mustafa Raja: I think Blobby can search groups of tables, but the way Omni queries the… Omni builds a query is, it cannot refer to more than one topic in the same query, right?

131 00:14:12.370 00:14:22.330 Mustafa Raja: So blogging may be able to, in two different queries, refer to two different topics, but it’s not going to refer to two different topics in the same query.

132 00:14:22.820 00:14:26.140 Greg Stoutenburg: I see. And that’s no matter how we… how the.

133 00:14:26.140 00:14:37.459 Mustafa Raja: Yeah, that’s just a matter of… that’s just a matter of if the tables are joined or not. If the tables are joined, we can just add that table in the topic.

134 00:14:37.650 00:14:39.469 Mustafa Raja: Yeah. And call it a day.

135 00:14:39.950 00:14:47.359 Greg Stoutenburg: Yeah, okay. I think, I think what I’d like to ask on this point is, could you just write

136 00:14:48.440 00:15:06.329 Greg Stoutenburg: could you just describe in writing, in Slack, in the channel for this, what your solution is, and that you’ve built a one-to-one relationship between topic and data set, so no joins for V1, and just see if… see if you, Tom, or Demolade have feedback.

137 00:15:06.740 00:15:08.860 Mustafa Raja: I think I did let me…

138 00:15:08.860 00:15:09.380 Greg Stoutenburg: Oh, okay.

139 00:15:09.380 00:15:10.390 Mustafa Raja: Let me tag you.

140 00:15:10.390 00:15:12.740 Greg Stoutenburg: Sorry, I’m just, yeah, I’m just sitting, getting set up.

141 00:15:12.740 00:15:18.750 Mustafa Raja: Let me tag you and, wait.

142 00:15:19.530 00:15:28.509 Greg Stoutenburg: Yeah, oh, okay, I see, this is in your comment from Friday. Yeah, I see. Yeah, yeah, yeah, okay. I will… I’ll tag them.

143 00:15:28.620 00:15:32.420 Greg Stoutenburg: and say, you know, have a look at this. And the only reason I’m…

144 00:15:32.660 00:15:46.310 Greg Stoutenburg: The only reason I’m pausing on it at all is because I just want to make sure that it won’t affect functionality in some way I’m not thinking of. I don’t think that it will, because I think intuitively, if someone signs in and they want to ask a revenue question, the answer to that question should come from the revenue table.

145 00:15:46.950 00:15:47.960 Mustafa Raja: Yeah, yeah.

146 00:15:47.960 00:15:48.520 Greg Stoutenburg: So…

147 00:15:48.520 00:16:00.589 Mustafa Raja: Yeah, yeah, so I think the tables are mature enough. The reason is, I believe, in the back, dbt is already joining multiple tables, right? Yeah.

148 00:16:00.590 00:16:00.990 Greg Stoutenburg: I see.

149 00:16:00.990 00:16:10.639 Mustafa Raja: those models as the surface, you know? That’s perfect. Because if you take a look at the raw tables, we just have a huge amount of those. And then, if you would take a look…

150 00:16:10.710 00:16:26.910 Mustafa Raja: prod tables, those are just a handful few, you know? So… so I believe we’re already, we’re already, you know, at the back, joining a lot of these, and then, and then… and then, yeah, we’re just surfacing them in… in what’s it called, in these tables, you know?

151 00:16:27.240 00:16:28.480 Greg Stoutenburg: Cool. Yep.

152 00:16:28.480 00:16:33.589 Mustafa Raja: But yeah, what, one more, one more thing, one more thing, what I could do…

153 00:16:33.910 00:16:38.059 Mustafa Raja: Now, I didn’t spend a lot of time, you know.

154 00:16:38.760 00:16:45.249 Mustafa Raja: Looking into all of these tables, if there is a possibility of merging two topics, you know?

155 00:16:45.480 00:16:46.820 Mustafa Raja: I could do that.

156 00:16:47.330 00:16:52.760 Mustafa Raja: There is a possibility we could merge… merge some of these topics, if you’d like me to.

157 00:16:53.930 00:16:55.590 Greg Stoutenburg: Okay, let’s.

158 00:16:55.590 00:16:59.220 Mustafa Raja: Between multiple tables still being able to join, you know?

159 00:17:00.340 00:17:03.600 Greg Stoutenburg: I see, okay. Do you just need to look at their docs for that?

160 00:17:03.940 00:17:06.630 Mustafa Raja: I just need to take a look at the fields.

161 00:17:07.500 00:17:08.300 Greg Stoutenburg: Okay.

162 00:17:08.300 00:17:16.900 Mustafa Raja: And then… To be honest, I could just point… I’m thinking, sorry…

163 00:17:17.640 00:17:18.069 Greg Stoutenburg: Yeah.

164 00:17:18.079 00:17:19.559 Mustafa Raja: Yeah, yeah,

165 00:17:19.819 00:17:36.179 Mustafa Raja: I’ll just have to maybe take a look at the fields, and then maybe come up with a few joins, and then maybe I could send that proposal to Demilade for his verification, if my hypothesis is correct for merging these.

166 00:17:36.569 00:17:49.589 Mustafa Raja: And then whatever he approves, we could go forward with that, but because I believe that whatever we can, you know, merge, it’s going to help us in the long term.

167 00:17:50.490 00:17:58.680 Greg Stoutenburg: Yeah, that sounds right to me. Okay, can you just… can you timebox that research? Like, just give 20 minutes to it, see… see what you think?

168 00:17:58.820 00:18:10.279 Greg Stoutenburg: And then, if it looks like it’s a no-go, we’ll just proceed with your solution after getting you Tom’s feedback. And if it looks like it’s possible, then go ahead and write it up and show Demi.

169 00:18:10.650 00:18:11.530 Mustafa Raja: Yeah, yeah.

170 00:18:11.950 00:18:12.750 Greg Stoutenburg: Okay.

171 00:18:12.750 00:18:17.389 Mustafa Raja: I will timebox it to 30 minutes, if that’s okay.

172 00:18:17.540 00:18:24.869 Greg Stoutenburg: Yeah, yeah, yeah, yeah, not trying to be too… too picky. Just, yeah, no, just since there’s some urgency. I would rather.

173 00:18:24.870 00:18:26.380 Mustafa Raja: Yeah, I understand that.

174 00:18:26.660 00:18:30.220 Greg Stoutenburg: Yeah, yeah, just to move forward with a functional.

175 00:18:30.520 00:18:49.340 Greg Stoutenburg: version 1 of this for Eden stakeholders a week from today, like, I would rather us just keep moving forward, and that way, you know, if in a week they go, well, we really want Blobby to search across tables, then we can go, okay, that’s fine, we’ll do some additional data work, and we’ll have that ready for you in four days. I’d rather have that conversation than

176 00:18:49.340 00:18:50.569 Greg Stoutenburg: You know, next week.

177 00:18:50.570 00:18:57.300 Greg Stoutenburg: we’re like, well, we’re not ready yet, because we actually had to, you know, we went back and forth on whether or not something was possible. That’s all I’m.

178 00:18:57.300 00:19:04.570 Mustafa Raja: Yeah, yeah, yeah, that’s actually good. One more thing. Did you watch the clip?

179 00:19:04.730 00:19:07.919 Mustafa Raja: That I sent in the channel. The zoom clip.

180 00:19:08.190 00:19:12.330 Greg Stoutenburg: I don’t think I saw a clip. No, I thought this was just a screenshot.

181 00:19:12.330 00:19:18.849 Mustafa Raja: Or, no, that’s a screenshot, right above that message, I have a… what’s it called? Zoom clip.

182 00:19:22.910 00:19:23.809 Mustafa Raja: Can you see that?

183 00:19:26.730 00:19:27.360 Mustafa Raja: Let me tell you guys.

184 00:19:27.360 00:19:30.639 Greg Stoutenburg: Okay, okay, okay, found it. Yep, I’ll watch that.

185 00:19:30.850 00:19:35.839 Mustafa Raja: So, there’s one chart that’s really complex.

186 00:19:36.910 00:19:53.290 Mustafa Raja: that I haven’t been able to translate yet into the Omni, and I think I might need, Demilade’s help for that. Okay. So, what it actually is, it’s three different charts merged into one.

187 00:19:53.840 00:20:08.659 Mustafa Raja: I don’t think that Omni, out of the box, supports that, but what Omni does support is, Vega code, that’s just a, you know, markdown for charts, we would say, you know? Okay. Or mermaid for charts, you know?

188 00:20:09.140 00:20:09.700 Greg Stoutenburg: Yep.

189 00:20:09.700 00:20:29.719 Mustafa Raja: So we, so I could work with that. Yeah, go, please take a look at this, this Zoom clip. It’s just me explaining, you know, where have we gotten to. And this is… this is still up to the date. There’s two more charts that I need to translate, which I’m going to, you know? Okay. Right after…

190 00:20:29.840 00:20:31.489 Mustafa Raja: A few stand-ups.

191 00:20:31.610 00:20:49.009 Mustafa Raja: Yeah. I have a stand-up in 10 minutes, then another one, then another one, then I’ll be, up for work, and then this is the first thing that I’m going to do. For the first complex one, the first chart that is the complex one, I’ll… I might ping…

192 00:20:49.130 00:20:50.250 Mustafa Raja: Demolade?

193 00:20:50.480 00:20:51.340 Mustafa Raja: Yep.

194 00:20:51.520 00:20:52.040 Mustafa Raja: Yep.

195 00:20:52.710 00:21:06.589 Greg Stoutenburg: Yeah, use all available resources, this is high priority, so… Yeah, that sounds good. I’ll watch that video, I appreciate your work on this so far, and let’s find out what you’re able to discover about, merging topics together.

196 00:21:06.590 00:21:16.270 Greg Stoutenburg: And, yeah, all things being equal, it’d be nice to have the right infrastructure so that if they add additional tables, or, you know, they want to change which

197 00:21:16.470 00:21:24.480 Greg Stoutenburg: tables are queried when they run a query in Blobby, you know, it’d be nice to have the right, structure in place for them to be able to do that.

198 00:21:25.000 00:21:26.180 Mustafa Raja: Yeah, I agree.

199 00:21:26.180 00:21:27.670 Greg Stoutenburg: Yeah. Yep.

200 00:21:28.110 00:21:29.540 Greg Stoutenburg: Okay, cool.

201 00:21:29.540 00:21:30.080 Mustafa Raja: Thank you.

202 00:21:30.080 00:21:31.140 Greg Stoutenburg: Anything else?

203 00:21:32.080 00:21:38.339 Mustafa Raja: That’s pretty much it from my side. Sounds good. I’ll let you know once,

204 00:21:38.500 00:21:43.790 Mustafa Raja: once I, pinged Demilade for the emerging of topics and stuff like that.

205 00:21:43.790 00:21:56.860 Greg Stoutenburg: That’s great. Yep, and I’ll, that sounds good, I’ll wait for your update on that, and from my part, I think while that’s waiting, my task is gonna be to start putting a training together to put in front of stakeholders.

206 00:21:57.080 00:22:11.240 Mustafa Raja: Yeah, yeah, yeah. For this, so do you want to surface this topic, topic strategy that we have right now to the team, or do you want to wait till I come up with merge ones?

207 00:22:11.600 00:22:26.419 Greg Stoutenburg: Let’s see… let’s see what you decide, and learn about emerging topics, and then that way… well, actually, no. Let’s ask about it now, because there’s probably 2 hours between now and when you’ll have an answer on that.

208 00:22:26.690 00:22:32.549 Greg Stoutenburg: So, yeah, I’ll, I’ll write up a comment here, and I’ll tag Demi and you, Tom.

209 00:22:33.030 00:22:34.099 Mustafa Raja: Yeah, that’s good.

210 00:22:34.100 00:22:34.920 Greg Stoutenburg: Sound good?

211 00:22:34.920 00:22:36.229 Mustafa Raja: Yeah, that sounds good.

212 00:22:36.610 00:22:40.050 Greg Stoutenburg: Okay, cool. Alright, thanks a ton, appreciate it.

213 00:22:40.050 00:22:41.439 Mustafa Raja: Thank you, have a good day.

214 00:22:41.790 00:22:42.799 Greg Stoutenburg: You too. Bye.

215 00:22:42.800 00:22:43.520 Mustafa Raja: Bye.