Meeting Title: US x BF | Standup Date: 2025-05-29 Meeting participants: Zack Gibbs, Caio Velasco, Demilade Agboola, Amber Lin, Emily Giant
WEBVTT
1 00:00:11.050 ⇒ 00:00:16.650 Emily Giant: Good morning, or it’s probably not. I’m mute.
2 00:00:17.880 ⇒ 00:00:19.470 Caio Velasco: Hello! Good morning!
3 00:00:19.680 ⇒ 00:00:20.290 Emily Giant: Hi!
4 00:00:20.720 ⇒ 00:00:29.322 Emily Giant: I always say good morning. But then I’m like Dama laude. It’s like 11 o’clock at night. It’s probably not morning at all for you. So good day.
5 00:00:30.149 ⇒ 00:00:33.289 Caio Velasco: No. Good day. Good day. Here. It’s 4, 30.
6 00:00:33.870 ⇒ 00:00:34.890 Emily Giant: In the afternoon.
7 00:00:34.890 ⇒ 00:00:36.189 Caio Velasco: Yeah, in the afternoon. Yeah.
8 00:00:36.190 ⇒ 00:00:37.410 Emily Giant: Okay, that’s nice.
9 00:00:37.760 ⇒ 00:00:53.460 Emily Giant: Yeah, I feel like, like, European hours aren’t as brutal when we’re working together. But I feel so bad when Dum a lot is in Malta, and I know it’s like 11 o’clock at night, and he’s drinking coffee like we don’t need to do this like I can get up earlier in the morning. I’m so sorry.
10 00:00:53.870 ⇒ 00:00:57.439 Caio Velasco: No, no, I totally understand. Where. Where are you located?
11 00:00:57.890 ⇒ 00:01:05.930 Emily Giant: I’m in Indiana, but it’s still Eastern time. So even though it should almost definitely be central time, it’s like.
12 00:01:06.646 ⇒ 00:01:07.379 Emily Giant: When it’s
13 00:01:08.040 ⇒ 00:01:19.530 Emily Giant: 10 o’clock at night. Here it is still light out, because we’re on the very edge of the time zone, but it’s like farmland, so I think it gives the farmers like ton of the day to work.
14 00:01:19.750 ⇒ 00:01:20.670 Emily Giant: But it’s weird.
15 00:01:20.670 ⇒ 00:01:24.549 Emily Giant: Oh, so it’s like a strategic time zone. Actually.
16 00:01:24.720 ⇒ 00:01:29.329 Emily Giant: I think it was at 1 point. And now it’s stopped making sense, just because.
17 00:01:29.330 ⇒ 00:01:30.000 Amber Lin: Nice.
18 00:01:30.000 ⇒ 00:01:30.640 Emily Giant: Rich.
19 00:01:31.070 ⇒ 00:01:31.820 Amber Lin: The timing.
20 00:01:31.820 ⇒ 00:01:34.170 Emily Giant: But like 10 o’clock at night, is
21 00:01:34.330 ⇒ 00:01:36.720 Emily Giant: a weird time for it to still be like somewhat.
22 00:01:36.720 ⇒ 00:01:46.549 Amber Lin: Wow! I wonder how it is for people that hasn’t been out of Indiana. And just think, oh, it’s 10 o’clock! It should be light.
23 00:01:47.090 ⇒ 00:01:52.240 Emily Giant: So bizarre. I feel for parents that are putting children to bed when it’s just like
24 00:01:52.520 ⇒ 00:01:55.120 Emily Giant: blatant daylight outside that has to be so.
25 00:01:55.120 ⇒ 00:01:55.580 Amber Lin: Difficult.
26 00:01:55.770 ⇒ 00:01:56.680 Emily Giant: To convince.
27 00:01:56.680 ⇒ 00:01:57.050 Amber Lin: I’m just.
28 00:01:57.050 ⇒ 00:01:57.730 Emily Giant: Sleep.
29 00:01:58.750 ⇒ 00:01:59.780 Amber Lin: Hololi.
30 00:02:00.030 ⇒ 00:02:00.730 Emily Giant: Yeah.
31 00:02:01.656 ⇒ 00:02:10.370 Amber Lin: I’m on East Coast time this week. So I just flew into DC, so I’ll be more in sync with you guys.
32 00:02:10.630 ⇒ 00:02:19.539 Emily Giant: That’s nice. Yeah. I was chatting with Kyle about how I always felt so guilty when I knew it was like 11 o’clock at night for Demo Lade, and we had a ton of work to do.
33 00:02:20.720 ⇒ 00:02:23.210 Emily Giant: Coffee at 11 pm. It’s like, Oh, sorry.
34 00:02:23.210 ⇒ 00:02:24.470 Amber Lin: Oh, gosh!
35 00:02:25.937 ⇒ 00:02:26.792 Amber Lin: That’s it!
36 00:02:27.220 ⇒ 00:02:34.159 Emily Giant: I was time. Zone isn’t as complicated. Alright. I will turn over the meeting to you, because I could chit chat all day about it.
37 00:02:34.160 ⇒ 00:02:35.219 Amber Lin: I would love to.
38 00:02:35.220 ⇒ 00:02:35.580 Emily Giant: Yeah.
39 00:02:35.580 ⇒ 00:03:05.090 Amber Lin: Let me share my screen. We usually run it just in linear. So we’ll look at the linear and then we’ll talk about. We’ll just each person give a quick update and then we’ll get caught on, caught up on all the different processes, and in the future it’ll be great that we start doing our updates. Outside of meetings as well. So then, the meeting we can use to resolve blockers and make decisions. But since this is the 1st stand up. Let’s just go through it, one by one, and
40 00:03:05.120 ⇒ 00:03:07.530 Amber Lin: see what progress we’ve made.
41 00:03:07.870 ⇒ 00:03:11.289 Amber Lin: So, looking at the 1st one.
42 00:03:11.630 ⇒ 00:03:21.079 Amber Lin: Demo, I know. I think it was Perry who brought up this problem. That the re. It’s not complete. How’s this going.
43 00:03:21.806 ⇒ 00:03:30.213 Demilade Agboola: Yeah. So I’m looking at that. But I’m like working backwards and trying to figure out like, where exactly the issue potentially could be
44 00:03:30.760 ⇒ 00:03:35.599 Demilade Agboola: but I should be able to either pinpoint the issue or wrap it up today.
45 00:03:36.080 ⇒ 00:03:44.210 Amber Lin: Hmm, okay. So I’m gonna say, today, okay.
46 00:03:45.180 ⇒ 00:03:49.299 Amber Lin: okay, sounds good. So this is in progress.
47 00:03:51.620 ⇒ 00:03:57.920 Amber Lin: And let’s just look at the other one that you’re
48 00:03:58.570 ⇒ 00:04:02.110 Amber Lin: building. So what about this one.
49 00:04:03.886 ⇒ 00:04:13.149 Demilade Agboola: In progress as well. I, I basically need to
50 00:04:14.290 ⇒ 00:04:21.984 Demilade Agboola: just test it. Like I, I have like a basic like working script. But I just need to test it, and just be sure that it, like consistently runs
51 00:04:22.250 ⇒ 00:04:22.840 Amber Lin: It’s almost like.
52 00:04:22.840 ⇒ 00:04:29.046 Demilade Agboola: You know. Thanks us, I will. I will.
53 00:04:30.160 ⇒ 00:04:36.250 Demilade Agboola: What’s it called? I’m trying to just make sure that like when you like, when polytomic runs like that’s also in sync with it.
54 00:04:36.675 ⇒ 00:04:42.029 Demilade Agboola: So I’m trying to think of like the best way to like enjoy that like potentially, I just think of using
55 00:04:42.860 ⇒ 00:04:51.730 Demilade Agboola: looking at like a post hook to polytonic itself. Basically, that’s kind of like the final final step.
56 00:04:52.780 ⇒ 00:04:59.790 Amber Lin: Okay, okay. Sounds good. Would you say? Still, tomorrow is a reasonable time for this to get done.
57 00:05:00.250 ⇒ 00:05:01.460 Demilade Agboola: Yes, yes, tomorrow is fine.
58 00:05:01.460 ⇒ 00:05:07.240 Amber Lin: Okay, fantastic that this is on track and
59 00:05:08.519 ⇒ 00:05:12.289 Amber Lin: just confirming Kyle. You have access to everything right?
60 00:05:13.020 ⇒ 00:05:15.130 Caio Velasco: Yes, and that was fast.
61 00:05:15.720 ⇒ 00:05:18.389 Caio Velasco: Okay, nice. He was super nice. Yeah.
62 00:05:18.390 ⇒ 00:05:22.129 Amber Lin: It it was. This is very fast, as I can say from all of it.
63 00:05:22.520 ⇒ 00:05:24.250 Amber Lin: You guys are amazing.
64 00:05:24.250 ⇒ 00:05:24.870 Caio Velasco: Yes.
65 00:05:26.750 ⇒ 00:05:36.950 Amber Lin: Alrighty here, let’s look at this.
66 00:05:41.870 ⇒ 00:05:47.750 Amber Lin: What is what was this for? When I put this down.
67 00:05:47.750 ⇒ 00:05:53.463 Emily Giant: In in polytomic. The the way the cron jobs are configured.
68 00:05:53.940 ⇒ 00:05:54.470 Amber Lin: Hmm.
69 00:05:54.470 ⇒ 00:05:57.129 Emily Giant: Can’t do this like multilayered.
70 00:05:57.320 ⇒ 00:05:58.370 Amber Lin: Oh!
71 00:05:59.030 ⇒ 00:06:02.759 Emily Giant: Job. So Uton was going to work on configuring that.
72 00:06:04.325 ⇒ 00:06:08.790 Amber Lin: And I, I assume he’s just been too busy. Let me
73 00:06:09.490 ⇒ 00:06:11.700 Amber Lin: let me add him again, so
74 00:06:21.240 ⇒ 00:06:24.180 Amber Lin: let me is this.
75 00:06:28.740 ⇒ 00:06:42.050 Amber Lin: okay, so what would be so if this was good, it would mean that once we jump configures it, it would be able to do multiple jobs. Is there a specific test that we wanted to pass? Or would he know, like what’s going on.
76 00:06:42.050 ⇒ 00:06:43.150 Emily Giant: He would know.
77 00:06:43.150 ⇒ 00:06:44.150 Amber Lin: Okay. Okay.
78 00:06:44.150 ⇒ 00:06:50.649 Emily Giant: Really like a limitation of the platform from what I can see, and I know that he, like, is able to.
79 00:06:50.780 ⇒ 00:06:51.680 Amber Lin: Okay. Okay.
80 00:06:51.680 ⇒ 00:06:57.100 Emily Giant: Yes, manipulate that platform much more than I can, because I’m new to it.
81 00:07:00.250 ⇒ 00:07:09.400 Zack Gibbs: Secondarily, we can. We can also just post the schedule that we want and ask the polytomic folks in that channel how to set the Cron right.
82 00:07:10.330 ⇒ 00:07:11.710 Emily Giant: Yeah, we could do that.
83 00:07:12.590 ⇒ 00:07:14.879 Emily Giant: I can do that. That’s easy.
84 00:07:14.880 ⇒ 00:07:16.709 Amber Lin: Schedule, or.
85 00:07:18.440 ⇒ 00:07:24.890 Zack Gibbs: Yeah, let’s post it. Let’s post it there and see if we get a good response. If not, we can, we can
86 00:07:25.630 ⇒ 00:07:26.760 Zack Gibbs: ping you don’t.
87 00:07:27.550 ⇒ 00:07:33.289 Amber Lin: Okay? So we are, gonna ask the polytomic team first.st
88 00:07:34.100 ⇒ 00:07:35.400 Emily Giant: And I can do that.
89 00:07:35.400 ⇒ 00:07:36.110 Amber Lin: Okay?
90 00:07:47.180 ⇒ 00:07:47.970 Amber Lin: Oh.
91 00:07:55.810 ⇒ 00:07:57.090 Amber Lin: it’s good.
92 00:07:58.481 ⇒ 00:08:03.730 Amber Lin: I’ll switch it back all right.
93 00:08:04.883 ⇒ 00:08:06.569 Amber Lin: So that’s
94 00:08:11.430 ⇒ 00:08:18.460 Amber Lin: this. One needs escalation and then
95 00:08:19.510 ⇒ 00:08:28.440 Amber Lin: inventory model restructure. I think, Amalade and Emily, you guys had a time to meet already about this right.
96 00:08:29.260 ⇒ 00:08:29.820 Emily Giant: Yep.
97 00:08:29.820 ⇒ 00:08:31.010 Demilade Agboola: Oh, no!
98 00:08:31.450 ⇒ 00:08:32.510 Demilade Agboola: Me today.
99 00:08:33.200 ⇒ 00:08:35.229 Amber Lin: Oh, okay, yeah. Okay, okay.
100 00:08:35.390 ⇒ 00:08:52.429 Amber Lin: So once you guys meet, I think you’ll be able to give a better estimate about these points. If this is, if this even makes sense feel free to rewrite it. And then we can also talk about like, if this due date makes sense.
101 00:08:53.140 ⇒ 00:08:54.430 Amber Lin: I
102 00:09:13.310 ⇒ 00:09:24.890 Amber Lin: great and then, okay, and Kyle. So now we’re looking at your 2 tickets.
103 00:09:25.498 ⇒ 00:09:31.169 Amber Lin: Which one do you start? Want to start first? st I know they kind of logically flow into each other.
104 00:09:32.338 ⇒ 00:09:37.221 Caio Velasco: So I well, for the 1st one, the the dashboards.
105 00:09:37.980 ⇒ 00:09:58.717 Caio Velasco: Well, I took a look at Looker. But I haven’t started like doing practical things yet. But I posted a few questions because I think, for this is important, that we define a few things maybe understand, like the business functions would, which would probably be mapped to the marks
106 00:09:59.800 ⇒ 00:10:03.930 Caio Velasco: folder that we are gonna create in the new Dbt structure.
107 00:10:04.426 ⇒ 00:10:21.030 Caio Velasco: So this is something interesting just to get an idea of, like all the business function that’s probably gonna be there and for the dashboards themselves. Then I think prioritizing is important to see if there’s a a way to to.
108 00:10:21.030 ⇒ 00:10:21.540 Amber Lin: Dude.
109 00:10:21.540 ⇒ 00:10:31.769 Caio Velasco: You know, like a measure like maybe the most viewed dashboards, maybe the most used one. Maybe I don’t know the last 30 days, or something that at least because I, as I understand, there’s a lot of dashboards.
110 00:10:32.110 ⇒ 00:10:32.470 Amber Lin: We have.
111 00:10:32.470 ⇒ 00:10:34.089 Caio Velasco: To to start from somewhere.
112 00:10:34.690 ⇒ 00:10:36.280 Caio Velasco: That would be for this one.
113 00:10:38.826 ⇒ 00:10:50.839 Amber Lin: Sounds like to me that we could probably, after we do a review we can do a semi presentation or internal review, together with this team to talk about. Hey, we we saw all these dashboard, these.
114 00:10:50.850 ⇒ 00:11:09.200 Amber Lin: This is what we recommend deprecating, based on our criteria. And we can talk about if it’s good or not. But, Emily, I know this is something that you will be taking on deciding if we’re going to deprecate them, and I wanted to hear from you of what you think.
115 00:11:09.850 ⇒ 00:11:12.829 Amber Lin: What do you think of Kyle’s comments here?
116 00:11:22.750 ⇒ 00:11:26.146 Emily Giant: Sorry. I’m reading through the yeah. Bye, the ticket.
117 00:11:30.930 ⇒ 00:11:39.150 Emily Giant: I’m trying to decide like what I think the ideal timing would be, because I think that
118 00:11:40.450 ⇒ 00:11:45.679 Emily Giant: that is like an important factor for, like bringing this to team stakeholders.
119 00:11:49.420 ⇒ 00:12:00.948 Emily Giant: I don’t know. I don’t have a lot of constructive feedback at this moment about about how to do that. Maybe we can like have like a break off session and chat through what you’re thinking.
120 00:12:01.770 ⇒ 00:12:28.799 Zack Gibbs: Yeah, on the on the timing side. I don’t think we need to make a decision now. I think what we should do, though, is, we should break down. What? What is the what are the top most used? Right? So let’s bucket those. What? Which of you know which subset has been viewed within the last 30 days. And then how does that differ from those between 31, and 60? How does it differ between those and 61 to 90, and then 90 plus. So like, we have our breakdown of
121 00:12:28.870 ⇒ 00:12:34.349 Zack Gibbs: rough buckets of dashboards and looks.
122 00:12:34.450 ⇒ 00:12:38.410 Zack Gibbs: And then we can start to say, Okay, here’s what we think. We should start.
123 00:12:38.510 ⇒ 00:12:54.639 Zack Gibbs: you know, flagging it for deprecation. First, st we do a quick review and we do it in chunks. Is my assumption is that we’re not. Gonna we’re not gonna start like whacking everything 30, 31 plus days. We’ll probably do it in 90 90 plus. And then, you know, go from there, see what you know.
124 00:12:54.800 ⇒ 00:12:57.689 Zack Gibbs: But we should do it. We should bring them that way, is my opinion.
125 00:12:57.690 ⇒ 00:13:05.510 Amber Lin: Yeah, so it sounds like we want to start from the least important ones first, st and work our way up to the ones that
126 00:13:05.830 ⇒ 00:13:09.510 Amber Lin: may be used more. Is that what I hear.
127 00:13:11.080 ⇒ 00:13:20.190 Emily Giant: Either way. I I think it would. Or Kyle. Do you think it’d be helpful to meet for like an hour and just review the looker, usage dashboard. And I can
128 00:13:20.860 ⇒ 00:13:39.759 Emily Giant: make a document of like what team? What like point person, would be the point of contact for that dashboard or data set. I can kind of run you through the issues like, I’m very briefed on, like what may not have been used for 30 days because of
129 00:13:39.760 ⇒ 00:13:54.250 Emily Giant: deprecation, but it needs some form of like restructuring. There’s just so much going on with the dashboards that I think it would be really difficult for you to do it independently without us meeting at some point just to like, give you the rundown on.
130 00:13:54.420 ⇒ 00:13:56.499 Emily Giant: like what I know to be true
131 00:13:56.980 ⇒ 00:14:00.119 Emily Giant: as a reason for it not being utilized currently.
132 00:14:00.690 ⇒ 00:14:04.750 Emily Giant: But that’s different. And then we can trash it. But I guess, like I just.
133 00:14:05.470 ⇒ 00:14:08.120 Emily Giant: I think there just needs to be like a
134 00:14:08.270 ⇒ 00:14:11.979 Emily Giant: working together a little bit for me to get the right track with this.
135 00:14:11.980 ⇒ 00:14:20.319 Amber Lin: Yeah, that sounds like a really great proposal. Since we’re all here, this, do you guys want to meet tomorrow like, does that work for everybody?
136 00:14:20.760 ⇒ 00:14:21.420 Emily Giant: Totally.
137 00:14:21.420 ⇒ 00:14:23.119 Amber Lin: Is, do we need more time?
138 00:14:24.470 ⇒ 00:14:30.009 Caio Velasco: Well, we can. No, no, I think we could. Both. Both things can be done in parallel. So yeah, we can do that.
139 00:14:30.010 ⇒ 00:14:30.660 Amber Lin: Okay,
140 00:14:31.380 ⇒ 00:14:47.423 Zack Gibbs: The other thing that I think would be helpful. It’s a call out, here is business function. So, Emily, you have a good handle on like what the functional areas are, I think, as a follow up, it would be good to get document. You know your view of business function as it relates to looker
141 00:14:47.850 ⇒ 00:14:51.229 Zack Gibbs: and the different internal teams, and how we define those teams that way.
142 00:14:51.230 ⇒ 00:14:51.600 Emily Giant: Yeah.
143 00:14:51.600 ⇒ 00:14:53.749 Zack Gibbs: He has a point of reference. There.
144 00:14:54.430 ⇒ 00:14:55.569 Caio Velasco: Yeah, that’s awesome.
145 00:14:56.940 ⇒ 00:15:06.519 Caio Velasco: Yeah, yeah, no, because that’s also important, because it it’s probably gonna mirror what’s gonna be in the in the march folder. So this at least the 1st step.
146 00:15:07.080 ⇒ 00:15:07.780 Emily Giant: Yeah.
147 00:15:09.300 ⇒ 00:15:12.850 Caio Velasco: Perfect. That’s exactly what I need is both commits.
148 00:15:14.120 ⇒ 00:15:16.009 Caio Velasco: And then for the.
149 00:15:16.010 ⇒ 00:15:17.580 Amber Lin: Let me go to the other one.
150 00:15:17.810 ⇒ 00:15:18.480 Caio Velasco: Yeah.
151 00:15:18.860 ⇒ 00:15:19.420 Caio Velasco: No.
152 00:15:20.620 ⇒ 00:15:25.359 Emily Giant: Tomorrow. I’m free after 12 pm. Eastern time.
153 00:15:26.940 ⇒ 00:15:31.570 Emily Giant: So if there’s a time that works for you, anytime after 12 Pm.
154 00:15:32.100 ⇒ 00:15:39.978 Caio Velasco: Okay, okay, I’ll I’ll as soon as we’re done here. I’m gonna check my agenda, and then I’ll I’ll save you. But I think at noon would work. Yes.
155 00:15:40.480 ⇒ 00:15:41.570 Emily Giant: Okay. Great.
156 00:15:42.370 ⇒ 00:15:43.280 Amber Lin: Awesome.
157 00:15:43.410 ⇒ 00:15:49.720 Amber Lin: Yeah, last one so so I assume this is also in progress.
158 00:15:50.760 ⇒ 00:15:51.710 Amber Lin: Oh.
159 00:15:59.859 ⇒ 00:16:05.100 Amber Lin: Kyle, on this any blockers that we can help you with so any say
160 00:16:06.400 ⇒ 00:16:14.809 Amber Lin: information that you still don’t know yet that maybe we have more that maybe perhaps me or Demotti can help you answer.
161 00:16:15.600 ⇒ 00:16:19.938 Caio Velasco: No, I think for this, I’m I’m okay for now, like I was able to find
162 00:16:20.410 ⇒ 00:16:23.869 Caio Velasco: can you guys hear me? I see this a bit unstable here.
163 00:16:26.390 ⇒ 00:16:27.660 Caio Velasco: Can you guys hear me.
164 00:16:27.790 ⇒ 00:16:28.680 Amber Lin: No can hear you.
165 00:16:28.680 ⇒ 00:16:35.188 Caio Velasco: Yeah. Okay, cool. So yeah, no. I was able to find some information also in the repo.
166 00:16:36.190 ⇒ 00:16:56.609 Caio Velasco: And also I started with evil, and I already have, like a set of all the tables and sources destinations. So I’m organizing everything and also putting everything together into that spreadsheet. But I think it’s also good to see that the spreadsheets, like a live. So I already added a new tab with it with this work, which I think it’s super important.
167 00:16:57.173 ⇒ 00:17:10.560 Caio Velasco: So yeah, with that, I already started so I’m still on the phase of structuring and organizing and getting all the tables and all the sources in there. But it’s in progress. Yeah.
168 00:17:10.560 ⇒ 00:17:11.130 Amber Lin: Okay.
169 00:17:15.890 ⇒ 00:17:16.780 Amber Lin: Awesome.
170 00:17:17.855 ⇒ 00:17:22.720 Caio Velasco: That covers everything. It seems like we pretty much have everything.
171 00:17:23.010 ⇒ 00:17:28.799 Amber Lin: In progress. I think they’ve already booked this meeting.
172 00:17:29.040 ⇒ 00:17:41.309 Amber Lin: So yeah, great, I think we’re off to a great start. I know Emily and Demo is meeting today. Emily and Kyle is meeting tomorrow, and we’ll check in tomorrow in our stand up.
173 00:17:42.860 ⇒ 00:17:44.410 Emily Giant: All right. Sounds good.
174 00:17:44.410 ⇒ 00:17:46.260 Amber Lin: Yeah, thank you guys.
175 00:17:46.560 ⇒ 00:17:47.150 Zack Gibbs: Thank you, appreciate it.
176 00:17:47.150 ⇒ 00:17:47.910 Caio Velasco: You too. Bye, bye.
177 00:17:47.910 ⇒ 00:17:49.140 Amber Lin: Alrighty! Bye-bye.