Meeting Title: Stella-Weekly-Regroup Date: 2024-06-06 Meeting participants: Patrick Trainer, Nicolas Sucari, Robert Tseng, Uttam Kumaran, Nick Baker


WEBVTT

1 00:00:54.480 00:00:55.260 Nicolas Sucari: Yeah. Patrick.

2 00:00:56.050 00:00:57.800 Patrick Trainer: Hey? How’s it going.

3 00:00:59.300 00:01:00.523 Nicolas Sucari: I’m fine, but you.

4 00:01:02.870 00:01:04.334 Patrick Trainer: Pretty good. I think

5 00:01:04.830 00:01:08.999 Patrick Trainer: I might have action figured out now

6 00:01:10.770 00:01:14.630 Patrick Trainer: it’s it’s a fucking class. It’s just

7 00:01:14.970 00:01:17.489 Patrick Trainer: such a pain in the ass to debug

8 00:01:19.880 00:01:20.620 Patrick Trainer: ethnic.

9 00:01:26.340 00:01:27.320 Patrick Trainer: Oh.

10 00:01:34.340 00:01:35.630 Patrick Trainer: okay.

11 00:01:43.850 00:01:45.060 Patrick Trainer: thank God.

12 00:01:55.600 00:01:56.910 Patrick Trainer: cannot have done it.

13 00:02:01.020 00:02:03.570 Patrick Trainer: Think I might have

14 00:02:04.160 00:02:05.719 Patrick Trainer: fucking done it.

15 00:02:10.030 00:02:11.700 Patrick Trainer: Now let’s

16 00:02:12.250 00:02:13.560 Patrick Trainer: try.

17 00:02:21.840 00:02:23.990 Patrick Trainer: Okay, Gabe Bradle.

18 00:02:32.010 00:02:32.700 Nicolas Sucari: Hi, Nick.

19 00:02:33.320 00:02:35.229 Nick Baker: Hey? What’s going on? How you doing.

20 00:02:35.690 00:02:36.910 Nicolas Sucari: Nice to meet you.

21 00:02:37.280 00:02:38.240 Nick Baker: Like grass.

22 00:02:40.550 00:02:41.480 Uttam Kumaran: Yo.

23 00:02:50.350 00:02:51.740 Nick Baker: Notetaker.

24 00:02:54.040 00:02:55.330 Robert Tseng: Oh, hey, guys.

25 00:02:56.210 00:02:56.596 Nick Baker: Well, it’s

26 00:02:57.185 00:02:57.580 Patrick Trainer: Hey!

27 00:02:58.220 00:02:58.810 Uttam Kumaran: Elk.

28 00:03:05.800 00:03:07.539 Uttam Kumaran: should we jump right into stuff

29 00:03:10.720 00:03:11.420 Uttam Kumaran: and.

30 00:03:12.400 00:03:13.060 Patrick Trainer: To it.

31 00:03:16.810 00:03:17.570 Patrick Trainer: Yep.

32 00:03:19.280 00:03:23.570 Uttam Kumaran: Cool. I think the only thing to really chat about

33 00:03:24.076 00:03:25.940 Uttam Kumaran: is the S Fab

34 00:03:26.250 00:03:27.539 Uttam Kumaran: data model.

35 00:03:28.173 00:03:40.459 Uttam Kumaran: So the Zendesk thing things are done for the SFI think I’ll just set the scene. Basically, it’s just cleaning up and creating some

36 00:03:41.061 00:03:46.029 Uttam Kumaran: joins between tables directly from the Sf product. Database.

37 00:03:46.726 00:03:48.020 Uttam Kumaran: I guess.

38 00:03:48.410 00:03:57.719 Uttam Kumaran: Nick, I’ll let you jump right into. I saw you message something this morning, but we can talk through it, and even if we have enough time today, we can even we can work on stuff or

39 00:03:58.760 00:04:00.970 Uttam Kumaran: that’s primarily the thing I wanted to talk about.

40 00:04:00.970 00:04:24.790 Nick Baker: Cool. Yeah. So I I went through and I looked at the Ids, pulled through all the fields that were indicated on them. The ticket was saying that I was going from the Sf. Database, but there’s also or Sf. Schema, but there’s also an Ss schema, so I just wanted to clarify the difference between those 2. Especially because some of the tables don’t exist on the Sf. Schema.

41 00:04:26.176 00:04:37.240 Robert Tseng: The ss should be like once, Sab, and once Stella, so yeah should. It should be the Sf, not. Ss, I think, is what I put in the already.

42 00:04:37.240 00:04:37.775 Nick Baker: Okay.

43 00:04:38.310 00:04:38.670 Robert Tseng: Yeah.

44 00:04:38.670 00:04:46.849 Nick Baker: So those. So then, tenants, users, and organization, all 3 of those are not in or I couldn’t find them in the

45 00:04:47.650 00:04:52.130 Nick Baker: the let me find it. The SF

46 00:04:52.220 00:04:53.960 Nick Baker: legacy database

47 00:04:57.000 00:04:59.510 Robert Tseng: Okay, let me look at this again.

48 00:05:12.730 00:05:14.360 Robert Tseng: Okay, actually

49 00:05:14.760 00:05:17.460 Robert Tseng: scratch what I said, Sf, and Ss are both

50 00:05:18.480 00:05:24.359 Robert Tseng: are are both as fat. I don’t know. Yeah. So yeah, so I guess we we should pull from.

51 00:05:24.470 00:05:26.189 Robert Tseng: Yeah, from from my, from my area.

52 00:05:26.680 00:05:39.230 Nick Baker: Cool. Okay, so I’ve got that where I’ve pulled both of them, or I pulled all those tables, and then I need to. There are a couple of fields that I indicated on the ticket that are that I didn’t find on that table.

53 00:05:39.580 00:05:43.739 Nick Baker: So I wanted to just flag those for you cause those are highlighted.

54 00:05:43.900 00:05:50.240 Nick Baker: And then the other piece was, I saw that these are all like

55 00:05:50.320 00:05:57.579 Nick Baker: I I see, where the keys are set, but wanted to clarify what the output. What the actual output is that we’re trying to get.

56 00:05:59.030 00:05:59.599 Robert Tseng: Sure.

57 00:06:05.780 00:06:07.510 Robert Tseng: let me pull up the

58 00:06:08.090 00:06:09.430 Robert Tseng: modeling, Doc.

59 00:06:23.220 00:06:26.840 Robert Tseng: yeah, so these. So these 5, sorry, did I? Customer? I didn’t

60 00:06:27.080 00:06:28.279 Robert Tseng: got it. Okay.

61 00:06:28.630 00:06:36.150 Robert Tseng: yeah, so from from these 5 tables. Right? We have. Yeah, this is just like, quote data, join to like

62 00:06:36.180 00:06:39.155 Robert Tseng: organizations users, right? More or less. And

63 00:06:39.760 00:06:45.420 Robert Tseng: yeah, I think the the output from here is that monthly quote activity. I think there’s just a lot of

64 00:06:45.788 00:06:48.989 Robert Tseng: I think there are a lot of questions around just being able to visualize

65 00:06:49.328 00:06:56.959 Robert Tseng: Or report on like quote data over time. So I’ll I’ll retag you in one of the deliverables that was specifically asked for

66 00:06:59.820 00:07:01.719 Robert Tseng: But yeah, I think we can.

67 00:07:01.750 00:07:06.070 Robert Tseng: If you want, I can extend this because this is this is not.

68 00:07:06.900 00:07:08.830 Robert Tseng: This is just gonna be like quote.

69 00:07:09.140 00:07:14.179 Robert Tseng: like quote value over time, like an an adequate aggregate level level. So.

70 00:07:14.180 00:07:14.620 Nick Baker: Okay.

71 00:07:15.070 00:07:15.529 Nick Baker: Yeah, I, just.

72 00:07:15.530 00:07:16.819 Robert Tseng: Organization, button.

73 00:07:16.820 00:07:30.189 Nick Baker: I just didn’t know the fields. You need, basically. So like, right now, I’ve got these like super wide, like staging table. Or I put them as end tables, basically, which is just like recasting and renaming the fields and snake case. But actual output of

74 00:07:30.488 00:07:40.680 Nick Baker: of what you’re hoping to see? Like I’m I’m happy to put that together. I just didn’t see that access explicitly laid out anywhere as some of the prior requirements that we have for some of those other tables.

75 00:07:40.850 00:07:43.780 Robert Tseng: Yeah, I see. I see what you mean, like what I did for the Zendesk.

76 00:07:43.780 00:07:49.990 Nick Baker: Yeah is good. Cause that’s I know the target is, and then I can ask questions if I get stuck on any of the like.

77 00:07:51.480 00:07:57.850 Nick Baker: You know how the tables fit together, or redundancy, or duplication, or many to one really like all that.

78 00:07:58.110 00:08:02.010 Robert Tseng: Okay, I’ll add that to the issue. Later. After this call, yeah.

79 00:08:02.010 00:08:08.069 Nick Baker: Perfect. Yeah. And then I’ll I’ll be able to move forward on that, and can let you know. If I have any additional questions. There.

80 00:08:08.470 00:08:09.060 Robert Tseng: Cool.

81 00:08:09.060 00:08:17.247 Uttam Kumaran: Yeah, Robert, I think you and the doc you had like visualize cost distribution and like percent of costs attributed to materialist labor. I just couldn’t break that down.

82 00:08:17.740 00:08:19.159 Robert Tseng: Yeah, I’ll break down. Yeah.

83 00:08:19.160 00:08:20.650 Uttam Kumaran: Okay. Cool. Okay. Great.

84 00:08:20.800 00:08:21.370 Robert Tseng: Yeah.

85 00:08:21.780 00:08:22.350 Robert Tseng: Loop.

86 00:08:22.350 00:08:24.652 Nick Baker: Yeah, just little context will help a ton.

87 00:08:25.190 00:08:30.610 Nick Baker: Otherwise on my side, that’s that’s pretty much everything. We got those other tickets closed out Zendesk stuff.

88 00:08:31.070 00:08:32.520 Robert Tseng: Yeah, so that’s what’s good. Yeah.

89 00:08:32.520 00:08:39.760 Nick Baker: Yeah. And so if there’s anything else that’s in there, you know, just just flag it to me, and I’ll I can take care of it. I’ve got a ton of time today tomorrow, for sure.

90 00:08:40.049 00:08:40.809 Nick Baker: Great.

91 00:08:41.960 00:08:47.879 Uttam Kumaran: Yeah, so maybe we could close this S. Fab stuff out in Dbt, like today tomorrow. And then.

92 00:08:47.880 00:08:48.300 Robert Tseng: Yeah.

93 00:08:48.300 00:08:57.729 Uttam Kumaran: I know, Robert, we’re working on a next set of requirements. So I think, Nick, probably just like hang tight that we get that to you sometime midweek next week, or whenever.

94 00:08:57.730 00:08:58.530 Nick Baker: Got it.

95 00:08:59.820 00:09:06.820 Nicolas Sucari: I think. Sorry you, Tom, that we have still pending the setting up the elementary dashboard. If that’s okay, too.

96 00:09:07.420 00:09:13.319 Uttam Kumaran: Oh, yeah, I think that’s honestly not a blocker for anything. And that we just wrote some documentation. So,

97 00:09:13.620 00:09:18.240 Uttam Kumaran: Nick, we’re we’re working on. We, we have. You use elementary before. So

98 00:09:18.550 00:09:29.400 Uttam Kumaran: elementary is kind of like like, what is not data full, but like one of those data, observability tools where basically, you can write tests. And there’s like a really nice ui for running like anomaly tests

99 00:09:29.828 00:09:35.209 Uttam Kumaran: like source freshness test, primary key test, and we’re using it across every client

100 00:09:35.280 00:09:36.660 Uttam Kumaran: for free

101 00:09:36.690 00:09:47.980 Uttam Kumaran: and we just have a little bit of a documentation on how to set that up, and that way we can set up like test and alerting for the inevitability that something fucks on. So

102 00:09:48.250 00:09:49.180 Uttam Kumaran: Jason.

103 00:09:49.180 00:09:51.561 Nick Baker: Sounds good. I’ll look out for that for more. Info.

104 00:09:52.050 00:09:52.680 Uttam Kumaran: Alright!

105 00:09:55.760 00:09:56.770 Nicolas Sucari: So you’re really, yeah.

106 00:09:58.000 00:09:59.230 Uttam Kumaran: Yeah.

107 00:10:00.480 00:10:07.110 Robert Tseng: Oh, yeah, I mean, I was just gonna say, in case, yeah, I’ve I’ve kind of communicated to you, Tom. I don’t know if it got to Nick. But

108 00:10:07.170 00:10:26.780 Robert Tseng: yeah, I mean the the original Google, Doc. Yeah. Obviously, we tried to present the Zendesk piece is done, and then we kind of wind it down, we we unplug full story. So we’re not doing any reporting on that. And then, yeah. So that’s why we’ve just been focusing on. Sf, and we’re I’m rescoping the next set of deliverables with the client.

109 00:10:28.070 00:10:33.490 Robert Tseng: and so that’s why we this is this week has kind of been a lull with no new requirements. We’re just trying to finish up what we have.

110 00:10:34.350 00:10:35.740 Nick Baker: Cool thanks.

111 00:10:39.260 00:10:39.906 Uttam Kumaran: Hell. Yeah.

112 00:10:42.010 00:10:42.710 Uttam Kumaran: Here.

113 00:10:44.650 00:10:48.720 Uttam Kumaran: Okay, cool. If nothing else, we’ll just talk on slack

114 00:10:49.790 00:10:50.380 Uttam Kumaran: carried.

115 00:10:50.380 00:10:50.970 Robert Tseng: Yep.

116 00:10:51.700 00:10:57.060 Nicolas Sucari: Nick, I can share you the documentation of elementary. So when you have time, you can take a look at that. Okay.

117 00:10:57.544 00:10:59.789 Nick Baker: That sounds good. Yeah, please do. I’ll look out for it.

118 00:11:00.710 00:11:01.590 Nick Baker: Thank you.

119 00:11:03.200 00:11:04.160 Nick Baker: Okay.

120 00:11:04.160 00:11:05.490 Uttam Kumaran: I’ll talk to you over soon.

121 00:11:05.490 00:11:06.580 Robert Tseng: Alright! See y’all.