Meeting Title: US x BF | Standup Date: 2025-06-09 Meeting participants: Demilade Agboola, Amber Lin, Uttam Kumaran, Caio Velasco, Emily Giant
WEBVTT
1 00:00:11.430 ⇒ 00:00:12.750 Amber Lin: Good morning!
2 00:00:15.990 ⇒ 00:00:17.210 Demilade Agboola: I’m all right. How are you?
3 00:00:18.760 ⇒ 00:00:27.909 Amber Lin: I’m good. No, I thought I was gonna be back home today. But then, yesterday, before going to the airport, I realized
4 00:00:28.770 ⇒ 00:00:34.339 Amber Lin: that my book my flight for today and not yesterday. So I’m stuck in Chicago.
5 00:00:36.850 ⇒ 00:00:39.759 Demilade Agboola: How did you book for a different day.
6 00:00:40.790 ⇒ 00:00:51.330 Amber Lin: I it cause it was either the 8th or the 9, th and I think I saw that the 9th was cheaper. And I was like, Oh, yeah, it’s cheaper. I didn’t even read that it was Monday.
7 00:00:51.690 ⇒ 00:00:57.160 Amber Lin: and so yesterday I had to book the hostel in in
8 00:00:57.420 ⇒ 00:01:01.380 Amber Lin: in the afternoon, but luckily they had a spot so.
9 00:01:03.620 ⇒ 00:01:04.080 Demilade Agboola: Oh, okay.
10 00:01:04.080 ⇒ 00:01:07.100 Amber Lin: Travel stories anyways.
11 00:01:07.672 ⇒ 00:01:15.370 Amber Lin: Hello, everybody. So we have this. Stand up now and then. We have our sprint retro later.
12 00:01:16.190 ⇒ 00:01:19.389 Amber Lin: coming like 30 min after this ends.
13 00:01:20.670 ⇒ 00:01:26.379 Amber Lin: Oh, never mind, we have our sweet retro at 11 Am. CST, so an hour.
14 00:01:28.120 ⇒ 00:01:31.200 Amber Lin: I’m gonna share my screen, and
15 00:01:31.740 ⇒ 00:01:35.860 Amber Lin: and everybody just use this time to update tickets.
16 00:01:36.668 ⇒ 00:01:42.449 Amber Lin: Slack anything that needs wants us to discuss.
17 00:01:42.980 ⇒ 00:01:45.970 Amber Lin: and we’ll come back to it in 2 min.
18 00:01:47.050 ⇒ 00:01:49.379 Amber Lin: So let’s all update our time frame.
19 00:01:54.380 ⇒ 00:01:55.139 Amber Lin: I’m just kidding.
20 00:03:06.100 ⇒ 00:03:13.309 Amber Lin: I imagine that everyone updated our tickets and just gonna run through
21 00:03:13.500 ⇒ 00:03:25.009 Amber Lin: the ones in progress right now. So I looked at this one to mark ingestion tables to deprecate, and Emily has already marked it.
22 00:03:25.370 ⇒ 00:03:32.639 Amber Lin: the spreadsheet here, and so we’re ready to turn off the ones that
23 00:03:32.880 ⇒ 00:03:35.349 Amber Lin: we want to deprecate, and then
24 00:03:36.870 ⇒ 00:03:39.439 Amber Lin: so the next steps are outlined here.
25 00:03:41.950 ⇒ 00:03:48.319 Uttam Kumaran: So can we? Can we make this an another ticket? Because this is a I feel execution of. This is a new ticket.
26 00:03:48.860 ⇒ 00:03:58.729 Amber Lin: Yeah, it is another ticket. It’s just originally it was for next cycle. So I wasn’t sure if we were going to bring that
27 00:04:00.390 ⇒ 00:04:01.310 Amber Lin: stop.
28 00:04:06.400 ⇒ 00:04:07.480 Amber Lin: Not okay.
29 00:04:16.170 ⇒ 00:04:16.970 Amber Lin: Find it.
30 00:04:17.589 ⇒ 00:04:18.620 Amber Lin: I already.
31 00:04:24.280 ⇒ 00:04:25.700 Amber Lin: All right.
32 00:04:27.148 ⇒ 00:04:32.620 Amber Lin: Gonna add, this is related to I’m good.
33 00:04:33.539 ⇒ 00:04:34.059 Amber Lin: Oh.
34 00:04:41.930 ⇒ 00:04:45.640 Amber Lin: whatever I’ll go add that ticket to this one.
35 00:04:46.468 ⇒ 00:04:52.519 Amber Lin: I do want to talk about what we have left in this current cycle before we go to deprecating
36 00:04:53.060 ⇒ 00:04:59.840 Amber Lin: that one. So all of these are what’s left is essentially to
37 00:05:00.390 ⇒ 00:05:08.009 Amber Lin: mark what we want to deprecate. Right? So we finish the usage for the ingestion tables.
38 00:05:09.330 ⇒ 00:05:21.299 Amber Lin: I think for each of each of either looker or red ship. We have a plan to also look at the DVD models. And so I wanted to ask about
39 00:05:21.730 ⇒ 00:05:22.670 Amber Lin: this one.
40 00:05:23.730 ⇒ 00:05:26.849 Amber Lin: So to rate the Dv. 2. Model accuracy
41 00:05:28.110 ⇒ 00:05:32.210 Amber Lin: is this? What’s the step? Oh, Emily, just said.
42 00:05:32.857 ⇒ 00:05:35.219 Amber Lin: we’ll be done end of day. Great.
43 00:05:35.340 ⇒ 00:05:38.570 Amber Lin: So back to that.
44 00:05:43.610 ⇒ 00:05:54.190 Amber Lin: and so related to those 2 tickets. I have these 2 tickets so for each Dbt model
45 00:05:54.300 ⇒ 00:06:00.739 Amber Lin: to note down either the ingestion table that it’s related to, or the looker dashboard is supporting
46 00:06:01.468 ⇒ 00:06:05.579 Amber Lin: do you think you can take on these 2 tasks and finish it by the end of day?
47 00:06:06.060 ⇒ 00:06:06.870 Amber Lin: Remember.
48 00:06:07.199 ⇒ 00:06:13.459 Demilade Agboola: So with the ingestion table will be done by like will be done in the within the next hour.
49 00:06:14.510 ⇒ 00:06:17.165 Amber Lin: Okay, awesome because.
50 00:06:17.600 ⇒ 00:06:21.945 Demilade Agboola: The one for the local dashboard.
51 00:06:22.830 ⇒ 00:06:27.150 Demilade Agboola: I will try and get it done by end of day, but by, stand up! Tomorrow should be ready.
52 00:06:27.870 ⇒ 00:06:37.779 Amber Lin: Okay, okay, sounds good. So this will be also finished by end of yeah, doing well.
53 00:06:38.160 ⇒ 00:06:42.580 Amber Lin: And so, oh, yeah, we have
54 00:06:43.200 ⇒ 00:06:48.800 Amber Lin: these 2 tickets for Kyle. So I think this one is
55 00:06:49.050 ⇒ 00:06:54.130 Amber Lin: this one is a bit blocked by rating the DVD model accuracy.
56 00:06:54.420 ⇒ 00:06:57.340 Amber Lin: and then similar, I think. Similarly, for that one?
57 00:06:59.130 ⇒ 00:07:01.540 Amber Lin: Yes, exactly. That was exactly my question.
58 00:07:02.330 ⇒ 00:07:18.449 Amber Lin: Yeah, yeah, I agree. If you want, would you? Would you want to look at it with Emily on the Dvt model accuracy, because you probably would need that knowledge as well. If you want a working session with Emily, so you can get this started soon.
59 00:07:19.370 ⇒ 00:07:19.940 Emily Giant: Yeah.
60 00:07:19.940 ⇒ 00:07:39.030 Emily Giant: if you have time today, I could do that with you. It is extremely difficult for me to be managing like my 2 different workflows, like the internal stakeholders. Tickets that have been coming up have all been like pretty meaty, and so to do. These like, if I have nailed down time to do them. It is really helpful.
61 00:07:39.030 ⇒ 00:07:48.290 Amber Lin: Okay, that would be awesome. Can you let us? Can you look at your calendar and let us know what? What is a good time, and we’ll just put that right now.
62 00:07:48.580 ⇒ 00:07:50.329 Emily Giant: Yeah, to.
63 00:07:50.330 ⇒ 00:07:52.639 Caio Velasco: Today. Unfortunately, I cannot.
64 00:07:52.640 ⇒ 00:07:54.300 Caio Velasco: Okay, no problem.
65 00:07:54.380 ⇒ 00:07:56.319 Caio Velasco: We can try if you can.
66 00:07:56.760 ⇒ 00:07:58.439 Emily Giant: Do you want to do 9 to 10.
67 00:08:00.090 ⇒ 00:08:00.920 Caio Velasco: Perfect.
68 00:08:02.240 ⇒ 00:08:06.569 Amber Lin: Okay. Awesome. Do you guys wanna book that right now?
69 00:08:06.570 ⇒ 00:08:08.450 Emily Giant: Yep, I’ll send that over, Kyle.
70 00:08:08.450 ⇒ 00:08:13.605 Demilade Agboola: I I think I I could book it on kind of so I could use my zoom link. So we can have.
71 00:08:14.110 ⇒ 00:08:15.400 Demilade Agboola: are.
72 00:08:15.630 ⇒ 00:08:16.360 Amber Lin: We’re reporting.
73 00:08:16.360 ⇒ 00:08:16.770 Caio Velasco: Record.
74 00:08:16.770 ⇒ 00:08:18.329 Demilade Agboola: Yeah, for for, yeah.
75 00:08:18.330 ⇒ 00:08:21.780 Amber Lin: Yeah. Awesome. Okay. Lovely.
76 00:08:22.340 ⇒ 00:08:25.510 Amber Lin: Oh, okay.
77 00:08:25.740 ⇒ 00:08:37.949 Amber Lin: And Kyle, I think these tickets. I hope these tickets explain what they are. Essentially once the accuracy is flagged. I think we can just join because you already have the
78 00:08:38.488 ⇒ 00:08:45.269 Amber Lin: looker dashboard using the different schemas. I can just join those tables, and then we’ll able to. We’ll be able to flag
79 00:08:45.580 ⇒ 00:08:48.979 Amber Lin: the different accuracies of the looker models.
80 00:08:49.690 ⇒ 00:08:50.270 Amber Lin: Okay.
81 00:08:50.270 ⇒ 00:08:58.010 Caio Velasco: Okay. So as I understand them, would work on the same spreadsheet on the Dbt tab then
82 00:08:58.500 ⇒ 00:09:04.879 Caio Velasco: some some important one would be flagged, and then we have to to merge with the ones present in looker.
83 00:09:05.110 ⇒ 00:09:10.029 Caio Velasco: And then, you know, then we get like some more accuracy. That’s what is happening.
84 00:09:11.000 ⇒ 00:09:18.659 Amber Lin: Yeah, yeah, essentially, that we have both the accuracy and usage data. So we can better judge if we’re gonna deprecate something.
85 00:09:20.100 ⇒ 00:09:20.540 Caio Velasco: Okay.
86 00:09:21.430 ⇒ 00:09:28.589 Amber Lin: Yeah. Okay. Lastly, I looked at all this.
87 00:09:30.791 ⇒ 00:09:33.119 Amber Lin: There’s this one.
88 00:09:34.436 ⇒ 00:09:36.340 Amber Lin: Emily, I don’t know.
89 00:09:36.560 ⇒ 00:09:39.499 Amber Lin: Okay, okay, awesome. I just saw this.
90 00:09:40.190 ⇒ 00:09:40.869 Amber Lin: They’re not.
91 00:09:40.870 ⇒ 00:09:43.729 Emily Giant: Yep, that one will be done. It’s pretty.
92 00:09:43.880 ⇒ 00:09:48.059 Emily Giant: It’s a pretty turnkey ticket, and so.
93 00:09:48.890 ⇒ 00:09:57.120 Amber Lin: Okay, I saw that, Emily, you added this one, for I imagine it’s very, very urgent.
94 00:09:57.620 ⇒ 00:09:59.970 Amber Lin: Okay, it’s currently being tested.
95 00:10:00.180 ⇒ 00:10:00.560 Emily Giant: Yeah.
96 00:10:00.790 ⇒ 00:10:03.010 Amber Lin: Perfect sounds. Good.
97 00:10:06.250 ⇒ 00:10:09.459 Amber Lin: Is this? Can I mark this as done? Is this good.
98 00:10:09.850 ⇒ 00:10:13.590 Emily Giant: That’s done. Yes, thank you so much for that. They’re extremely helpful.
99 00:10:17.600 ⇒ 00:10:24.150 Amber Lin: Looking at this, I think everything we pretty much are good for this cycle. It’s just
100 00:10:24.340 ⇒ 00:10:31.229 Amber Lin: marking and braiding things and getting ready for deprecation, and then we’ll meet again to do a quick retro.
101 00:10:31.650 ⇒ 00:10:41.669 Amber Lin: I mean, Kyle, if you are, I think you’re still waiting on Emily to you’re a little bit blocked by us doing the rating on DVD models.
102 00:10:42.200 ⇒ 00:10:44.550 Amber Lin: Now we can look at
103 00:10:45.530 ⇒ 00:10:49.930 Amber Lin: if we want to deprecate a few ingestion sources today.
104 00:10:51.820 ⇒ 00:10:55.909 Amber Lin: If we have that capacity. That’s something that we can do. So.
105 00:10:58.126 ⇒ 00:11:04.143 Demilade Agboola: Yeah, I think that could be helpful, just like if we already have set certain things marked out as
106 00:11:04.460 ⇒ 00:11:05.150 Amber Lin: Hmm.
107 00:11:05.150 ⇒ 00:11:13.300 Demilade Agboola: Unnecessary sources, or we can start to like, deprecate certain parts. And let’s let’s reduce the ingestion
108 00:11:13.906 ⇒ 00:11:15.610 Demilade Agboola: pipeline that currently exists.
109 00:11:16.570 ⇒ 00:11:20.189 Amber Lin: Okay, let me move that to this cycle.
110 00:11:20.280 ⇒ 00:11:33.650 Caio Velasco: Question that I have about that is that, I believe is, I recall I watched the meeting that you can have with them, and some of them were flagged. As well. To be that to deprecate is that final? Already?
111 00:11:36.270 ⇒ 00:11:41.969 Uttam Kumaran: So the the order of operations there is. We’re just gonna make sure all the connectors are turned off.
112 00:11:42.410 ⇒ 00:11:48.929 Uttam Kumaran: and then we want to prepare Emily to send an email saying, these are going to get
113 00:11:49.090 ⇒ 00:11:56.019 Uttam Kumaran: removed. So the 1st step is, make sure that all the ones that we flagged as deprecate, we turn off.
114 00:11:57.750 ⇒ 00:12:02.889 Uttam Kumaran: and then we send an email. And then in a week from now we can delete them.
115 00:12:03.250 ⇒ 00:12:11.669 Uttam Kumaran: Turning off, will is what we should. Just we’ll see what happens in 7 days, like, if certain it will, we’ll find out if anything is actually being used
116 00:12:12.010 ⇒ 00:12:12.830 Uttam Kumaran: right.
117 00:12:12.830 ⇒ 00:12:13.280 Emily Giant: Yeah.
118 00:12:13.970 ⇒ 00:12:14.590 Uttam Kumaran: Yeah.
119 00:12:14.990 ⇒ 00:12:15.850 Caio Velasco: Perfect.
120 00:12:16.850 ⇒ 00:12:17.399 Uttam Kumaran: So, if you.
121 00:12:17.680 ⇒ 00:12:18.020 Amber Lin: So.
122 00:12:18.020 ⇒ 00:12:23.769 Uttam Kumaran: If you can take on the just turning things off. Yeah, if you can take on just the turning things off
123 00:12:24.752 ⇒ 00:12:28.209 Uttam Kumaran: and then also prepare like help, Emily. Just.
124 00:12:28.600 ⇒ 00:12:33.769 Uttam Kumaran: I guess. Just give Emily that list, or I guess, Emily, you have. You can just filter on, excel.
125 00:12:33.770 ⇒ 00:12:34.330 Emily Giant: Yep.
126 00:12:34.651 ⇒ 00:12:37.140 Uttam Kumaran: And then we can just shoot that out.
127 00:12:38.330 ⇒ 00:12:51.680 Uttam Kumaran: I think the biggest thing to note is that we there some? I don’t wanna sort of scare people because some of them are like, Oh, why are we turning off Facebook? It’s like, Oh, there’s a duplicate. So I think if you want to run the email by us or anything. Let me know.
128 00:12:51.680 ⇒ 00:12:52.410 Emily Giant: Yeah.
129 00:12:52.420 ⇒ 00:12:53.026 Uttam Kumaran: You know.
130 00:12:54.070 ⇒ 00:12:57.390 Emily Giant: Yeah, I still need to write that. But
131 00:12:57.620 ⇒ 00:13:00.379 Emily Giant: I have that on my list of to do’s today.
132 00:13:02.752 ⇒ 00:13:05.279 Demilade Agboola: Also, I just wanted to like
133 00:13:05.600 ⇒ 00:13:13.230 Demilade Agboola: point out to Emily that I just sent a pr, so it’s for the negative Afs. So it flags it.
134 00:13:13.828 ⇒ 00:13:22.140 Demilade Agboola: Right now they’re like a hundred rows of negative airfare, so that allows us to be able to test going for this week. Test the fix that we talked to Felipe.
135 00:13:22.618 ⇒ 00:13:29.340 Demilade Agboola: and pair about where we can just add that. And we can anytime it goes negative. We’ll be able to be ahead of the curve.
136 00:13:29.925 ⇒ 00:13:37.229 Demilade Agboola: Also I I did some housekeeping with some of the model structure I saw you created a dimensions folder.
137 00:13:37.720 ⇒ 00:13:38.550 Demilade Agboola: We.
138 00:13:38.920 ⇒ 00:13:46.890 Demilade Agboola: it will be best to create a products folder and then put the team products union there instead of dimension. So things like that I just do some housekeeping.
139 00:13:47.250 ⇒ 00:13:49.019 Demilade Agboola: Nice that for you to agree.
140 00:13:49.350 ⇒ 00:13:50.670 Emily Giant: Okay. I’ll take a look.
141 00:13:50.900 ⇒ 00:13:51.590 Demilade Agboola: Okay.
142 00:13:51.870 ⇒ 00:13:52.960 Emily Giant: Sounds good, though.
143 00:13:56.070 ⇒ 00:14:03.179 Caio Velasco: And I’ll also make sure that everything that is turned off or along those lines. It will be marked in the spreadsheet so that we can always keep track.
144 00:14:04.940 ⇒ 00:14:08.780 Amber Lin: Yay, awesome. That’s great.
145 00:14:09.120 ⇒ 00:14:12.989 Amber Lin: Okay? So I’ll say, this is for today.
146 00:14:17.160 ⇒ 00:14:17.579 Amber Lin: Okay?
147 00:14:18.850 ⇒ 00:14:20.839 Amber Lin: And moving fast.
148 00:14:30.540 ⇒ 00:14:34.740 Amber Lin: Think we’re, I think we’re good or
149 00:14:39.650 ⇒ 00:14:48.870 Amber Lin: or this cycle. Okay, guys, thank you all. I’ll see you guys in Emily, I’ll see you in
150 00:14:49.040 ⇒ 00:14:53.010 Amber Lin: an hour or so. And I guess.
151 00:14:53.830 ⇒ 00:15:04.049 Amber Lin: do you guys want to stay, and we can look at the next cycle stuff if I I want to groom this a little bit more before we do the spring kickoff tomorrow.
152 00:15:05.110 ⇒ 00:15:05.740 Caio Velasco: True.
153 00:15:06.010 ⇒ 00:15:06.580 Uttam Kumaran: Yep.
154 00:15:06.700 ⇒ 00:15:07.360 Emily Giant: Alright!
155 00:15:07.360 ⇒ 00:15:08.599 Emily Giant: Doing an hour.
156 00:15:09.160 ⇒ 00:15:10.040 Caio Velasco: Yeah, bottom.
157 00:15:10.480 ⇒ 00:15:11.080 Emily Giant: Bye.
158 00:15:19.010 ⇒ 00:15:20.470 Amber Lin: Okay, everybody.
159 00:15:21.230 ⇒ 00:15:23.320 Amber Lin: So this is what I have for cycle 6
160 00:15:24.097 ⇒ 00:15:26.900 Amber Lin: my, what I think is that
161 00:15:30.920 ⇒ 00:15:33.905 Amber Lin: like? So I just saw your.
162 00:15:35.430 ⇒ 00:15:44.499 Demilade Agboola: Yeah, I just yeah, just so that we have it like down. I just wanted us to be able to get a cost estimate of how much saving them like, how much we’re saving them by.
163 00:15:44.500 ⇒ 00:15:45.900 Amber Lin: Oh!
164 00:15:46.189 ⇒ 00:15:47.059 Demilade Agboola: Turning off things.
165 00:15:47.516 ⇒ 00:15:48.430 Amber Lin: Turning off.
166 00:15:48.430 ⇒ 00:15:48.980 Demilade Agboola: Huddle.
167 00:15:49.384 ⇒ 00:15:55.449 Amber Lin: I think both looker and redshift, right? Or just redshift, because Looker is user based.
168 00:15:56.040 ⇒ 00:16:11.200 Demilade Agboola: Yeah, you look at user base. But just for the like, ingestion models and like ingestion tables that we’re trying to turn off now, and just have an estimate of like what that translates to. So that when we’re communicating like Brainforge, we know what we’re looking at.
169 00:16:12.100 ⇒ 00:16:13.950 Amber Lin: That’s a really really good point.
170 00:16:14.130 ⇒ 00:16:15.049 Amber Lin: Me put it.
171 00:16:16.110 ⇒ 00:16:22.089 Uttam Kumaran: Yeah. So for the ingestion stuff, we’re gonna also save money within the Etl tools themselves.
172 00:16:23.880 ⇒ 00:16:25.000 Demilade Agboola: Yeah, but that’s.
173 00:16:25.000 ⇒ 00:16:27.329 Uttam Kumaran: The redshift savings are gonna be very, very.
174 00:16:27.330 ⇒ 00:16:29.230 Demilade Agboola: Very minimal. Yeah.
175 00:16:29.230 ⇒ 00:16:29.700 Uttam Kumaran: Yes.
176 00:16:29.700 ⇒ 00:16:31.519 Demilade Agboola: But it’s more like he wants to. Each.
177 00:16:32.400 ⇒ 00:16:33.120 Uttam Kumaran: Yeah.
178 00:16:33.600 ⇒ 00:16:44.230 Uttam Kumaran: what’s gonna be worth advertising for? Redshift is gonna be like we, it’s just a lot easier for people to use and like cost savings based on not making mistakes, really.
179 00:16:46.120 ⇒ 00:16:57.589 Caio Velasco: And one question. I assume that the the cost tab that we have on the spreadsheet. Is it updated because that was not done by me, so I’m not sure, because then we can, you know, always compare with what.
180 00:16:57.590 ⇒ 00:17:02.010 Uttam Kumaran: Yeah, those those should be up to date. Yeah, yeah.
181 00:17:03.010 ⇒ 00:17:05.630 Uttam Kumaran: I got those from the last like contract. Basically.
182 00:17:06.099 ⇒ 00:17:06.729 Caio Velasco: Mess.
183 00:17:11.099 ⇒ 00:17:18.509 Amber Lin: Yeah, these all these tickets, a lot of them don’t really have descriptions.
184 00:17:19.951 ⇒ 00:17:28.679 Amber Lin: These 3 are I think, in my tag them as ad hoc.
185 00:17:29.589 ⇒ 00:17:33.589 Amber Lin: so I don’t really know what I can add to them.
186 00:17:33.829 ⇒ 00:17:36.749 Amber Lin: I don’t really know what these are about.
187 00:17:36.899 ⇒ 00:17:42.369 Amber Lin: so I can tag Emily to add requirements for it, Amanda, if you want to add them.
188 00:17:42.370 ⇒ 00:17:52.260 Demilade Agboola: Yeah, sure I can add some of them, but I mean you’ll probably be the best person to add, like some of the details. But I was in like the call with some of the stakeholders last week.
189 00:17:52.818 ⇒ 00:17:56.100 Demilade Agboola: And that’s kind of where these tickets are coming out from.
190 00:17:56.852 ⇒ 00:18:03.299 Demilade Agboola: So the basic issue is, people are using some of the dashboards and based off
191 00:18:04.220 ⇒ 00:18:11.309 Demilade Agboola: like when they look at it, they’re available for sales of negative which makes no sense like you can have negative products available for sale.
192 00:18:12.002 ⇒ 00:18:21.259 Demilade Agboola: So we’re trying to number one, fix the logic. So what’s what happens is when looker like when the polytomic data is being
193 00:18:21.480 ⇒ 00:18:24.020 Demilade Agboola: use in the very strictest sense
194 00:18:24.290 ⇒ 00:18:28.620 Demilade Agboola: it works. But there are certain times when things will be 0
195 00:18:29.365 ⇒ 00:18:31.780 Demilade Agboola: and that would create a negative value.
196 00:18:32.347 ⇒ 00:18:43.569 Demilade Agboola: So that is what we’re trying to create the logic that we would have as a backup for the negative times, and also just make a test, so that whenever it’s negative, we can be proactive with it.
197 00:18:44.105 ⇒ 00:18:48.519 Demilade Agboola: So that’s the test I just sent in the pr, I just sent in while we will.
198 00:18:48.970 ⇒ 00:18:54.399 Demilade Agboola: I would also work with Emily to ensure, like that task of merging the lot old and new logic.
199 00:18:54.580 ⇒ 00:18:55.599 Demilade Agboola: We’ll be fine.
200 00:18:58.410 ⇒ 00:18:59.130 Amber Lin: Okay.
201 00:18:59.560 ⇒ 00:19:00.110 Demilade Agboola: Okay.
202 00:19:00.110 ⇒ 00:19:07.409 Amber Lin: Okay, sounds good, but it it would add a little bit to our current cycle. I would imagine, you know, if you.
203 00:19:07.410 ⇒ 00:19:08.060 Demilade Agboola: Yes.
204 00:19:08.060 ⇒ 00:19:15.966 Amber Lin: Normally, but it’s usually assigned. Sometimes we’ll have delayed, I guess.
205 00:19:19.220 ⇒ 00:19:21.820 Amber Lin: we just run through. Run through each one.
206 00:19:22.405 ⇒ 00:19:28.240 Amber Lin: Let’s start and register, because we already, I’ve been turning off tables.
207 00:19:29.070 ⇒ 00:19:31.120 Amber Lin: So we do the cost estimate.
208 00:19:32.223 ⇒ 00:19:43.030 Amber Lin: i guess what we want is a report 2, and how to resent.
209 00:19:43.640 ⇒ 00:19:44.710 Amber Lin: No,
210 00:19:55.480 ⇒ 00:19:58.719 Amber Lin: can someone help me give estimates on this one.
211 00:20:02.613 ⇒ 00:20:08.710 Demilade Agboola: Do we want to do it now, or do we want to just do like at the end of the month, like when we’re doing like a monthly wins for.
212 00:20:09.050 ⇒ 00:20:15.089 Demilade Agboola: or you know, by sending a report in for the month like, Hey, this is what we’ve done this month, and so.
213 00:20:15.230 ⇒ 00:20:22.069 Amber Lin: I see, I think, at the end of next cycle it would be the 1st month of this new contract, so anyways, it would be perfect.
214 00:20:22.230 ⇒ 00:20:28.349 Demilade Agboola: Okay, sounds good. Yeah. So I think this this should be a once we have the tables that we’re turning off.
215 00:20:29.072 ⇒ 00:20:32.099 Demilade Agboola: We can always use the based off
216 00:20:32.480 ⇒ 00:20:39.219 Demilade Agboola: our Hubble and State charge. We can do the estimate of like. How many.
217 00:20:41.430 ⇒ 00:20:43.320 Demilade Agboola: By telling the rules, or whatever.
218 00:20:43.320 ⇒ 00:20:44.259 Amber Lin: 1.3.
219 00:20:44.430 ⇒ 00:20:45.550 Demilade Agboola: Yeah, it’s like a 1 point.
220 00:20:45.550 ⇒ 00:20:47.130 Amber Lin: Like a 1 point task.
221 00:20:47.290 ⇒ 00:20:50.700 Amber Lin: Okay, I’m gonna set due dates.
222 00:20:51.310 ⇒ 00:21:01.679 Amber Lin: I’m just gonna set a due date, and then we’ll we can look at it later. I think this is closer to the end of the cycle. Once we have some of them turn on, but we could start it a bit earlier.
223 00:21:01.980 ⇒ 00:21:10.749 Amber Lin: and I, Kyle, is turning out. Maybe I could. I’ll assign it to Kyle first.st We’ll adjust later.
224 00:21:11.290 ⇒ 00:21:17.580 Amber Lin: And then looking at oh, this one.
225 00:21:18.080 ⇒ 00:21:19.170 Uttam Kumaran: So.
226 00:21:20.800 ⇒ 00:21:29.669 Amber Lin: I know you’re still marking what tables are not accurate in
227 00:21:30.178 ⇒ 00:21:35.480 Amber Lin: what schemas are not accurate in Dbt, so I put this ticket to flag
228 00:21:36.455 ⇒ 00:21:41.410 Amber Lin: flag. The ingestion tables based on the their Dbt models.
229 00:21:41.780 ⇒ 00:21:48.170 Amber Lin: based on what we discussed about okay, usage and accuracy as a as how we approach these things.
230 00:21:49.340 ⇒ 00:21:52.569 Amber Lin: Can someone help me add in the requirements.
231 00:21:55.752 ⇒ 00:22:00.570 Demilade Agboola: I’m not exactly sure what you mean by inaccurate Dvt models, but
232 00:22:01.057 ⇒ 00:22:05.930 Demilade Agboola: because models are built on top of the ingestion tables.
233 00:22:07.080 ⇒ 00:22:07.880 Demilade Agboola: Oh.
234 00:22:08.190 ⇒ 00:22:19.770 Amber Lin: Oh, never mind. Okay, so are we. When we okay, I guess there’s a misunderstanding from me on on how these things work. So we mark that? It’s
235 00:22:20.210 ⇒ 00:22:25.640 Amber Lin: because we’re trying to figure out what DVD models are inaccurate and based on that.
236 00:22:26.630 ⇒ 00:22:28.060 Demilade Agboola: Yes, last week.
237 00:22:29.210 ⇒ 00:22:32.540 Demilade Agboola: Yeah. So we’re describing inaccuracy models.
238 00:22:32.680 ⇒ 00:22:38.880 Demilade Agboola: Then we’re using that to flag the looker model like, look at dashboards and say, Hey.
239 00:22:38.880 ⇒ 00:22:39.270 Amber Lin: Okay.
240 00:22:39.270 ⇒ 00:22:46.189 Demilade Agboola: If these models are inaccurate the data that you are using in those dashboards based off those models.
241 00:22:46.600 ⇒ 00:22:48.950 Demilade Agboola: or, you know, obviously inaccurate as well.
242 00:22:49.920 ⇒ 00:22:50.710 Amber Lin: I see
243 00:22:50.710 ⇒ 00:23:00.289 Amber Lin: so based on this. So this should this ticket should be changed into, I guess, based on unused ingestion tables, or
244 00:23:00.540 ⇒ 00:23:03.660 Amber Lin: to mark what Dvt model they’re leading.
245 00:23:03.950 ⇒ 00:23:05.869 Amber Lin: Do you think that’s the direction.
246 00:23:05.870 ⇒ 00:23:21.880 Demilade Agboola: Yeah. So if, yeah, if we we can see on use ingestion tables within Dbt, we can then use that to flag potential ingestion tables that we can also stop. So like another cost savings in that in that direction, as well.
247 00:23:23.172 ⇒ 00:23:32.930 Amber Lin: So it would be identify unused ingestion, tables and Dvt and then.
248 00:23:33.940 ⇒ 00:23:36.849 Demilade Agboola: Potentially mark those yeah for verification.
249 00:23:36.850 ⇒ 00:23:42.520 Amber Lin: Tables for potential location, and then we’ll.
250 00:23:42.868 ⇒ 00:23:47.750 Demilade Agboola: Turning off like ingestion as well. So that’s where the cost savings come in.
251 00:23:50.069 ⇒ 00:23:57.079 Amber Lin: Wait when we say market for deprecation? Are we marking the Dvt models for deprecation or congestion for deprecation?
252 00:23:57.080 ⇒ 00:23:58.280 Demilade Agboola: Ingestion
253 00:24:03.210 ⇒ 00:24:04.110 Demilade Agboola: was turning on.
254 00:24:08.540 ⇒ 00:24:10.930 Amber Lin: I think we turn it off before we deprecate it right.
255 00:24:11.410 ⇒ 00:24:12.110 Demilade Agboola: Yeah.
256 00:24:12.810 ⇒ 00:24:21.579 Amber Lin: Okay, sounds good. So I think now we’re aligned. And this is something that we can do and exciting.
257 00:24:25.210 ⇒ 00:24:26.149 Demilade Agboola: Let’s say something.
258 00:24:26.870 ⇒ 00:24:48.300 Caio Velasco: Yeah, no, I just wanna add for amber in case you you don’t know. But I know that Dbt models and tables kind of can be used in interchangeably. But it’s just because Dbt models, when you define their names. They are the names that goes into redshift, and theoretically they could also be the names from the tables ingested. So it’s like nodes and.
259 00:24:48.300 ⇒ 00:24:49.530 Amber Lin: Oh, I see!
260 00:24:49.530 ⇒ 00:24:51.790 Caio Velasco: Would have problems. Yeah.
261 00:24:51.790 ⇒ 00:24:58.790 Amber Lin: I see. So it’s not a layer. One step further, like ingestion before Dvt. They kinda interchange.
262 00:24:59.820 ⇒ 00:25:04.750 Caio Velasco: Yeah, it can. And it cannot be. You depends. But yeah, at at the end. Yes.
263 00:25:06.040 ⇒ 00:25:11.530 Amber Lin: Okay, I think them on this kind of I feel like this. Take this task like kind of
264 00:25:11.750 ⇒ 00:25:13.340 Amber Lin: relates to this one.
265 00:25:14.240 ⇒ 00:25:33.690 Demilade Agboola: Yeah, it’s it’s it’s the result. Yeah, I mean, I want for each Dbt model. I’m going to like list one like for every ingestion table. I’m going to see what is being touched by Dbt, and then the ones that aren’t. Then we can start this process of like potentially deprecating. So that’s part of like what I’m trying to do now
266 00:25:34.110 ⇒ 00:25:45.800 Demilade Agboola: and then the outskirts of that, the ones that aren’t marked. I would bring it up with the urban sense team as well, just for us to talk about potentially deprecating, turning off and deprecating that as well.
267 00:25:45.800 ⇒ 00:25:54.540 Amber Lin: Okay? So so this would, I’ll change this ticket to turn off and deprecate Wanda.
268 00:25:58.400 ⇒ 00:26:01.360 Demilade Agboola: Ingestion tables with unused Dbt models.
269 00:26:02.310 ⇒ 00:26:04.910 Demilade Agboola: Org. Or like, I don’t have. Yeah.
270 00:26:05.290 ⇒ 00:26:08.320 Demilade Agboola: like, yeah, like, without Dvt models
271 00:26:08.430 ⇒ 00:26:11.929 Demilade Agboola: without Dbt model usage or dbt usage you could just see.
272 00:26:11.930 ⇒ 00:26:19.219 Amber Lin: Well, okay, I like that. We’re much more clear. So I think that’s gonna be the main
273 00:26:20.600 ⇒ 00:26:26.400 Amber Lin: main part of it. And then can you give me an instrument, sign up.
274 00:26:27.840 ⇒ 00:26:32.130 Demilade Agboola: That’s like 1 point or 2 points like I. I should be done with that today.
275 00:26:34.883 ⇒ 00:26:36.900 Amber Lin: The turn off and deprecating.
276 00:26:37.410 ⇒ 00:26:43.289 Demilade Agboola: No, not well, not the turning off in the provisioning. That that will. That’s a different. I’m talking about the like. The task
277 00:26:43.530 ⇒ 00:26:46.139 Demilade Agboola: that I will need for that. Turn off and deprecating.
278 00:26:46.460 ⇒ 00:26:51.505 Demilade Agboola: Yeah, often deprecates in the
279 00:26:53.480 ⇒ 00:26:59.069 Demilade Agboola: to be fair, that also shouldn’t. It should be also like the 1.2 points, something we can do in one day kind of like
280 00:27:00.590 ⇒ 00:27:02.940 Demilade Agboola: going around and turning off different schemas.
281 00:27:06.620 ⇒ 00:27:07.710 Amber Lin: Sounds good.
282 00:27:11.650 ⇒ 00:27:14.839 Amber Lin: That’s the duplicate. Okay.
283 00:27:18.890 ⇒ 00:27:21.140 Amber Lin: okay, now, we’re in Looker.
284 00:27:22.100 ⇒ 00:27:24.749 Amber Lin: I think this is also something that
285 00:27:25.680 ⇒ 00:27:30.569 Amber Lin: Emily added. Is this a duplicate to any of those tickets you have.
286 00:27:31.620 ⇒ 00:27:32.210 Amber Lin: Of.
287 00:27:32.700 ⇒ 00:27:33.610 Amber Lin: There.
288 00:27:40.340 ⇒ 00:27:41.000 Demilade Agboola: Pardon.
289 00:27:45.600 ⇒ 00:27:49.760 Amber Lin: Alright, I was just trying to find
290 00:27:52.730 ⇒ 00:27:57.250 Amber Lin: this one. So this is also something that Emily added.
291 00:27:58.662 ⇒ 00:28:00.950 Amber Lin: I was wondering if
292 00:28:02.010 ⇒ 00:28:07.070 Amber Lin: if this is a separate ticket than the ones that you guys are currently doing.
293 00:28:09.585 ⇒ 00:28:13.589 Demilade Agboola: It’s kind of the high, level version of it.
294 00:28:14.570 ⇒ 00:28:15.270 Amber Lin: Hmm.
295 00:28:16.670 ⇒ 00:28:18.989 Demilade Agboola: So the once you update.
296 00:28:19.450 ⇒ 00:28:24.690 Demilade Agboola: So the other things I, I think, is a part of like the subtask things that what time was talking about. But
297 00:28:24.690 ⇒ 00:28:25.800 Demilade Agboola: yeah, submitted.
298 00:28:25.800 ⇒ 00:28:26.770 Uttam Kumaran: Major task.
299 00:28:26.770 ⇒ 00:28:28.100 Demilade Agboola: Those wants to be subtest.
300 00:28:28.670 ⇒ 00:28:34.070 Uttam Kumaran: Yeah, I was just trying to avoid subtasks. But the other thing is amber. I sent this thing in the zoom chat.
301 00:28:34.731 ⇒ 00:28:41.699 Uttam Kumaran: I just created a view in linear for grooming. You want to click on that. I think it may be helpful
302 00:28:42.000 ⇒ 00:28:44.749 Uttam Kumaran: or go to views. And oh.
303 00:28:45.060 ⇒ 00:28:46.699 Uttam Kumaran: can you not see this one.
304 00:28:47.560 ⇒ 00:28:49.730 Amber Lin: I think you have to save it for everybody. First.st
305 00:28:51.090 ⇒ 00:28:53.169 Uttam Kumaran: Yeah, it’s there for everybody.
306 00:28:53.600 ⇒ 00:28:56.459 Uttam Kumaran: I sent it in the zoom chat. You can just see that
307 00:28:58.530 ⇒ 00:29:01.439 Uttam Kumaran: may not have like synced, or whatever I don’t know.
308 00:29:06.070 ⇒ 00:29:08.170 Amber Lin: Do you note down? Hmm!
309 00:29:08.170 ⇒ 00:29:09.650 Demilade Agboola: Hold on! I can’t see it.
310 00:29:10.450 ⇒ 00:29:11.100 Uttam Kumaran: But.
311 00:29:11.670 ⇒ 00:29:12.450 Amber Lin: Yeah.
312 00:29:12.450 ⇒ 00:29:13.470 Uttam Kumaran: This one.
313 00:29:14.160 ⇒ 00:29:17.759 Demilade Agboola: Like. I can see the link, but I can’t like it doesn’t open up to anything.
314 00:29:18.670 ⇒ 00:29:24.090 Amber Lin: Yeah, okay, let me allow everyone to share screen. And can we look at it on your screen for a quick sec?
315 00:29:25.450 ⇒ 00:29:28.489 Uttam Kumaran: Yeah, but I’m not gonna be able to run this meeting right now.
316 00:29:28.490 ⇒ 00:29:30.089 Amber Lin: Oh, I know. I just want to see it.
317 00:29:30.090 ⇒ 00:29:34.149 Uttam Kumaran: Oh, okay, yeah, yeah. Okay. Sorry. Hold on one second.
318 00:29:37.790 ⇒ 00:29:40.199 Uttam Kumaran: Yeah. So it’s here.
319 00:29:41.527 ⇒ 00:29:47.450 Uttam Kumaran: And then if I go to views, oh.
320 00:29:48.890 ⇒ 00:29:51.000 Uttam Kumaran: but like. What is this, then.
321 00:29:51.600 ⇒ 00:29:55.799 Amber Lin: Oh, this is not a view. This is like a filter in the current issues.
322 00:29:56.860 ⇒ 00:29:58.459 Uttam Kumaran: No, no! But what is this?
323 00:30:00.128 ⇒ 00:30:02.279 Amber Lin: I guess that’s what you added.
324 00:30:04.260 ⇒ 00:30:06.849 Uttam Kumaran: So you selected the different statuses.
325 00:30:06.850 ⇒ 00:30:09.169 Uttam Kumaran: That’s new view. Yeah, that’s new view, though.
326 00:30:09.170 ⇒ 00:30:10.460 Amber Lin: Yeah, yeah.
327 00:30:10.740 ⇒ 00:30:11.310 Uttam Kumaran: Okay.
328 00:30:11.310 ⇒ 00:30:13.810 Amber Lin: Now I know where to find it, I see.
329 00:30:14.320 ⇒ 00:30:16.130 Amber Lin: Is this safe for everyone?
330 00:30:16.350 ⇒ 00:30:18.600 Amber Lin: Yeah, I can see it now. I found it.
331 00:30:18.600 ⇒ 00:30:25.420 Uttam Kumaran: Oh, okay, I don’t know. Yeah, I didn’t. If there’s no option to like, say for everyone. But I guess I could put it here right.
332 00:30:25.910 ⇒ 00:30:28.369 Amber Lin: No, it’s it’s fine, same thing.
333 00:30:28.460 ⇒ 00:30:35.180 Uttam Kumaran: Okay. Okay, yeah. So it’s just a it’s just a little bit should be a little bit easier to see
334 00:30:35.800 ⇒ 00:30:36.950 Uttam Kumaran: everything.
335 00:30:40.360 ⇒ 00:30:52.540 Amber Lin: I kind of. I approached it as an icon of groomed through all the stuff we have planned, have still need to groom. Essentially so before the to do next cycle, and I kind of put them in
336 00:30:52.960 ⇒ 00:30:55.489 Amber Lin: the next cycle status.
337 00:30:55.810 ⇒ 00:31:02.940 Uttam Kumaran: Yeah, I think there’s just everything in next cycle I’m just going through to just look at like if there’s.
338 00:31:02.940 ⇒ 00:31:03.340 Amber Lin: Yeah.
339 00:31:03.460 ⇒ 00:31:04.220 Uttam Kumaran: Is.
340 00:31:04.980 ⇒ 00:31:08.260 Amber Lin: I know there there was not, and hence why I wanted this meeting.
341 00:31:08.710 ⇒ 00:31:09.260 Uttam Kumaran: Link out.
342 00:31:09.260 ⇒ 00:31:11.060 Amber Lin: Shop right now. Yeah.
343 00:31:13.850 ⇒ 00:31:14.830 Amber Lin: Alright.
344 00:31:17.580 ⇒ 00:31:23.419 Amber Lin: But looking at the 3 looker, 3 looker ones.
345 00:31:24.400 ⇒ 00:31:30.490 Amber Lin: So here’s other dashboards.
346 00:31:32.600 ⇒ 00:31:33.159 Amber Lin: Alright.
347 00:31:34.080 ⇒ 00:31:37.150 Amber Lin: Technically, we could do this today.
348 00:31:37.790 ⇒ 00:31:42.030 Amber Lin: If we’re just deprecating the UN.
349 00:31:42.280 ⇒ 00:31:45.169 Amber Lin: Deprecating it based on usage. First, st
350 00:31:49.600 ⇒ 00:31:55.079 Amber Lin: Kyle, you think you can squeeze it in today or you’re do you already have stuff.
351 00:31:55.530 ⇒ 00:31:59.640 Caio Velasco: No, no, it’s end of the day for me, and I kind of have already everything planned.
352 00:32:00.130 ⇒ 00:32:01.090 Amber Lin: Okay. Okay.
353 00:32:01.090 ⇒ 00:32:12.219 Caio Velasco: But also a question. But a question about that part is because the ones in the spreadsheet, although we have the column marking for usage, usage or not used, based on on
354 00:32:13.440 ⇒ 00:32:16.489 Caio Velasco: queries. If I’m not wrong, or what am I missing? Understanding?
355 00:32:17.060 ⇒ 00:32:20.219 Caio Velasco: No, that was redshift. So yeah, for Lucer.
356 00:32:20.600 ⇒ 00:32:28.070 Caio Velasco: We have usage statistics. But have we defined how we would be which one would be
357 00:32:30.480 ⇒ 00:32:37.960 Caio Velasco: the ones that should be deprecated or not? Because I think at the end should be something related to you did with Emily, right? Like a business perspective from it.
358 00:32:37.960 ⇒ 00:32:38.770 Amber Lin: Yeah.
359 00:32:38.770 ⇒ 00:32:39.240 Caio Velasco: Yeah.
360 00:32:40.260 ⇒ 00:32:43.130 Amber Lin: This knows how to define.
361 00:32:44.770 ⇒ 00:32:50.347 Uttam Kumaran: Yeah, like, I definitely want there for all the ones that are active. This is a good time for us to get the owners.
362 00:32:51.210 ⇒ 00:32:55.370 Uttam Kumaran: and then for the ones that are inactive like.
363 00:32:55.760 ⇒ 00:33:01.549 Uttam Kumaran: it would be great just to have a quick reason, like duplicate, or like old, or whatever that way. It’s helpful for us.
364 00:33:01.550 ⇒ 00:33:01.970 Uttam Kumaran: So
365 00:33:01.970 ⇒ 00:33:07.489 Uttam Kumaran: okay? And in case we make case, there’s an issue we can go back and look at like, why did we decide to deprecate this.
366 00:33:08.370 ⇒ 00:33:12.290 Amber Lin: Awesome, so I think we’ll add a column of drop downs, and then
367 00:33:14.230 ⇒ 00:33:17.029 Caio Velasco: You can all define these.
368 00:33:22.140 ⇒ 00:33:22.880 Amber Lin: Mark!
369 00:33:22.880 ⇒ 00:33:37.999 Caio Velasco: And just just a quick reminder that basically the columns we have over there for the dashboard is the create, the date of data less accessed, and the 0 counts. Those are the most important ones. So maybe from that we can already talk to Emily and and see what his, when she’s.
370 00:33:39.290 ⇒ 00:33:42.920 Amber Lin: It’s 1 around by far.
371 00:33:52.910 ⇒ 00:33:54.180 Amber Lin: Sounds good.
372 00:33:54.350 ⇒ 00:33:58.030 Amber Lin: My cycle. I’m gonna put this you, Kyle.
373 00:33:58.130 ⇒ 00:34:03.240 Amber Lin: and is, is this a good 2 pointer? I think I don’t know if she was
374 00:34:05.200 ⇒ 00:34:06.970 Amber Lin: the reaching out part.
375 00:34:10.630 ⇒ 00:34:17.379 Caio Velasco: Yeah. Well, I believe that after talking to her, let’s say that I would have like an hour meeting like you had
376 00:34:17.750 ⇒ 00:34:22.319 Caio Velasco: they? They made a lot of progress, so maybe we could do the same progress with.
377 00:34:22.320 ⇒ 00:34:30.359 Uttam Kumaran: Yeah, it’s I think, Kyle, it’s just like you just need like a 1 out like a meeting like that where you just go one by one by one, like there’s no avoiding that. So.
378 00:34:30.960 ⇒ 00:34:37.069 Amber Lin: Yeah, and her calendar is swamped. So we should just book time on her calendar. So she actually remembers.
379 00:34:37.389 ⇒ 00:34:38.480 Caio Velasco: Or Emily.
380 00:34:39.280 ⇒ 00:34:56.230 Caio Velasco: The only problem I see with dashboards, which it would be a question as well is that well, there are 800 and differently than the ingestion tools. It’s not like there’s no active or inactive, or something like that. So this would have to be like.
381 00:34:56.600 ⇒ 00:35:00.360 Caio Velasco: We will have to trust her even more in her knowledge, because there.
382 00:35:00.360 ⇒ 00:35:07.419 Uttam Kumaran: Yeah, so I would. I would do a couple of pre filters on that one is like any you have the last access right?
383 00:35:07.580 ⇒ 00:35:08.330 Caio Velasco: Yes.
384 00:35:08.620 ⇒ 00:35:15.020 Uttam Kumaran: So anything that has I would market as like has it been accessed in the last like 2 years.
385 00:35:15.760 ⇒ 00:35:16.310 Caio Velasco: Okay.
386 00:35:16.310 ⇒ 00:35:30.499 Uttam Kumaran: See how much that eliminates. Okay, has it been access in like the last year? Okay? Like, maybe those I think, should take care of a bunch, and then and then I would start with the top viewed ones.
387 00:35:31.350 ⇒ 00:35:32.979 Caio Velasco: Okay? Oh, perfect. That’s part of that.
388 00:35:33.020 ⇒ 00:35:38.280 Uttam Kumaran: Almost start from either end, like the ones that are super unused and the ones that are most used.
389 00:35:38.470 ⇒ 00:35:49.420 Uttam Kumaran: and then kind of your way to the middle. Those are the both, the low hanging fruit ones to like. Either say, these are, keep these cool or delete these cool. The middle group.
390 00:35:49.700 ⇒ 00:35:52.060 Uttam Kumaran: Yeah, we’ll we’ll have to keep working through.
391 00:35:52.060 ⇒ 00:35:54.180 Demilade Agboola: Yeah, the middle group is way usually.
392 00:35:54.180 ⇒ 00:35:54.590 Amber Lin: Buddy.
393 00:35:54.884 ⇒ 00:35:57.099 Demilade Agboola: Yes, you have to go, the owner.
394 00:35:57.100 ⇒ 00:35:57.730 Demilade Agboola: It’s.
395 00:35:58.950 ⇒ 00:35:59.880 Amber Lin: Awesome.
396 00:36:00.530 ⇒ 00:36:05.350 Uttam Kumaran: Is that? Was there any way you can also see like, if it’s in a purse, if it’s like
397 00:36:05.960 ⇒ 00:36:21.870 Uttam Kumaran: who created it, or like, if it’s in a where it is, if like cause in looker, there’s like personal folders. So one thing that’s probably happening is that people are creating them, and just in their personal folder, and like nobody’s ever seeing it. I wonder if that’s another way we can.
398 00:36:22.940 ⇒ 00:36:34.370 Caio Velasco: Yeah, I think if I’m not wrong, maybe I didn’t put the column here because it was just too much. But I believe I also have the owner, but it was a number we couldn’t see, or I.
399 00:36:34.370 ⇒ 00:36:36.589 Uttam Kumaran: Oh, it’s a user. Id, yeah, so.
400 00:36:37.240 ⇒ 00:36:38.690 Demilade Agboola: Yeah. But is that?
401 00:36:38.740 ⇒ 00:36:43.640 Demilade Agboola: Is there like a folder structure like you can act like you can see or folder. It’s in.
402 00:36:44.820 ⇒ 00:36:49.220 Uttam Kumaran: In in Looker. You can. I don’t know whether it’s in the.
403 00:36:49.220 ⇒ 00:36:49.630 Demilade Agboola: Then.
404 00:36:52.370 ⇒ 00:37:01.470 Caio Velasco: Yes, exactly. Well, I can check again, but I remember that I literally use everything they had on the they call system activity, part
405 00:37:02.346 ⇒ 00:37:11.470 Caio Velasco: and if I just got the id probably was just the id, but I still can see if I can somehow connect to like another table with the names, but I can check.
406 00:37:11.780 ⇒ 00:37:16.189 Uttam Kumaran: Yeah, I think if you from the users table, you can bring in the username
407 00:37:16.380 ⇒ 00:37:18.588 Uttam Kumaran: or their email at least.
408 00:37:19.640 ⇒ 00:37:20.849 Caio Velasco: Perfect double check.
409 00:37:21.080 ⇒ 00:37:21.880 Uttam Kumaran: No.
410 00:37:22.260 ⇒ 00:37:22.930 Caio Velasco: Cool.
411 00:37:40.910 ⇒ 00:37:43.090 Amber Lin: I’ll fill in descriptions later.
412 00:37:43.360 ⇒ 00:37:45.339 Amber Lin: Okay, that’s good.
413 00:37:48.630 ⇒ 00:38:16.800 Amber Lin: and there’s here’s 1 other thing. So the last ticket we talked about we were going. We’re going to deprecate a a 1st pass on usage, because, as we said, there’s 800 dashboards. It’ll be a lot easier if we do. The 1st pass on that. And then we discussed that. We want to use both usage data and accuracy data to mark the dashboards that we want to rebuild.
414 00:38:17.950 ⇒ 00:38:18.900 Amber Lin: So
415 00:38:19.230 ⇒ 00:38:33.270 Amber Lin: this work depends on us marking which dpt model is inaccurate, and translating that into what Booker dashboards are on the accuracy scale. And then, for those who are both used
416 00:38:33.530 ⇒ 00:38:38.560 Amber Lin: and inaccurate. We want to identify who is owned by
417 00:38:39.301 ⇒ 00:38:43.400 Amber Lin: scope out how we’re gonna replace it. And then all the steps
418 00:38:43.660 ⇒ 00:38:47.330 Amber Lin: below. So this is like a ticket to scope all of them.
419 00:38:47.440 ⇒ 00:38:50.740 Amber Lin: because we’ll have, we’ll we’ll we’re gonna need a lot more.
420 00:38:56.060 ⇒ 00:39:00.499 Amber Lin: Is this is this a good approach, checking with a lot of.
421 00:39:04.012 ⇒ 00:39:10.029 Demilade Agboola: Scope out dashboards. Yeah. So I feel like, once we have the dashboards.
422 00:39:14.660 ⇒ 00:39:36.490 Demilade Agboola: yeah, once we have the use that inaccurate. I think once we have the use dashboards not necessarily just only the inaccurate ones. We can then start to like. Figure out what the plan going forward is so, some accurate dashboards might be accurate. Yes, but like potentially, we can see ways in which things can be unified or certain things can be changed to make it better or like at the end of the day, they’re handling a lot of the looker
423 00:39:37.296 ⇒ 00:39:40.419 Demilade Agboola: aspects of this based on our like
424 00:39:40.690 ⇒ 00:40:01.549 Demilade Agboola: structure with them, or we can always, therefore, push recommendations to them. We can always say, Hey, this, even though this is a like an accurate dashboard. For instance, you can make gains by merging this or making this accessible to that team? So we could communicate those gains as well. But yeah, ultimately, definitely be used any accurate ones. We would also need to talk about rebuilding them
425 00:40:02.436 ⇒ 00:40:03.450 Demilade Agboola: as well.
426 00:40:10.640 ⇒ 00:40:20.189 Demilade Agboola: but also, just to be sure, on the same page. For Looker, we’re just going to have to give our recommendations to them right? That they’re handling the rebuilding or restructuring, or whatever.
427 00:40:23.890 ⇒ 00:40:25.099 Uttam Kumaran: Sorry. That’s correct.
428 00:40:25.610 ⇒ 00:40:26.280 Demilade Agboola: Thank you.
429 00:40:26.280 ⇒ 00:40:33.669 Uttam Kumaran: I mean, ideally, it’s like it’s gonna be like, we’ll work with Emily if she needs requirements. But their team is gonna be creating those.
430 00:40:34.390 ⇒ 00:40:37.950 Demilade Agboola: Okay. So for yeah, so for that, we’re largely just communicating
431 00:40:38.625 ⇒ 00:40:42.020 Demilade Agboola: on whatever issues we see and recommendation.
432 00:40:42.400 ⇒ 00:40:48.400 Amber Lin: Great. This will make it a lot less work for us quiet.
433 00:40:50.000 ⇒ 00:41:00.030 Amber Lin: So this seems Demo you mentioned. As long as we have usage we can get started. So I think we can get started on this earlier early in next cycle, because we already do have the usage data.
434 00:41:02.380 ⇒ 00:41:03.240 Amber Lin: Yes.
435 00:41:13.040 ⇒ 00:41:21.320 Amber Lin: we already have the usage stats, so can I assign this awesome?
436 00:41:22.300 ⇒ 00:41:25.890 Amber Lin: What estimates do we have on this.
437 00:41:27.705 ⇒ 00:41:31.519 Demilade Agboola: So for this this is probably
438 00:41:32.160 ⇒ 00:41:35.230 Demilade Agboola: I don’t know most. It depends on the volume
439 00:41:35.470 ⇒ 00:41:40.570 Demilade Agboola: of dashboards that we have like that fits this criteria of used
440 00:41:41.029 ⇒ 00:41:49.149 Demilade Agboola: I think that’s that’s the thing. Because obviously, if we have only 10 use dashboards versus, you know, 100 use dashboards, the amount of time will be different.
441 00:41:49.280 ⇒ 00:41:53.639 Uttam Kumaran: Yeah, I agree. I don’t know
442 00:41:58.645 ⇒ 00:42:00.829 Uttam Kumaran: how many there are.
443 00:42:01.490 ⇒ 00:42:06.139 Amber Lin: Okay, we’ll we’ll scope it. I’m gonna put either 3 or 5, but we’ll figure that out later.
444 00:42:08.350 ⇒ 00:42:10.609 Demilade Agboola: Yeah. So we’ll figure that out as the week goes on.
445 00:42:15.120 ⇒ 00:42:17.849 Amber Lin: Those. I just wanna look at this one.
446 00:42:18.200 ⇒ 00:42:26.050 Amber Lin: Can I cancel this because it’s a duplicate or something else? Or can can we cancel something else, because that’s a duplicate account.
447 00:42:30.760 ⇒ 00:42:38.084 Demilade Agboola: yeah, I think I don’t know if this should be possible, because technically, this is part of why I sent the Pr in today.
448 00:42:38.390 ⇒ 00:42:41.819 Demilade Agboola: okay, no, yeah. So it’s the. This is like, I said, the cab
449 00:42:41.990 ⇒ 00:42:49.079 Demilade Agboola: receiving and care buffer logic that we’re using for tracking like next, like, there’s causing a negative available for sale
450 00:42:49.200 ⇒ 00:42:54.239 Demilade Agboola: value. But what I did. Yeah. So we’re doing. We’re handling it from different perspective.
451 00:42:54.410 ⇒ 00:43:01.600 Demilade Agboola: I’m handling the testing to ensure that we we catch that. And we get to the business before they reach out to us that there’s any issues.
452 00:43:01.890 ⇒ 00:43:10.990 Demilade Agboola: But Emily is also working on the logic aspect. So what’s happening from 2 different ends we’re trying to meet in the middle to play this up. That’s why I said, this feels more like the
453 00:43:11.470 ⇒ 00:43:15.449 Demilade Agboola: a level task, and the other things are like subtasks to this.
454 00:43:16.150 ⇒ 00:43:24.140 Amber Lin: Okay, okay, that’s that’s all right. I think there was 2 other tickets for Emily and the Dbt inventory part. I don’t know where they went.
455 00:43:24.600 ⇒ 00:43:26.949 Demilade Agboola: Yeah. There were 2 for Emily, 2 for me.
456 00:43:27.598 ⇒ 00:43:32.050 Uttam Kumaran: If you go back to the if you go back to the other view.
457 00:43:32.050 ⇒ 00:43:32.380 Uttam Kumaran: Yes.
458 00:43:32.380 ⇒ 00:43:34.510 Demilade Agboola: I think they’re. I think they’re in current cycle.
459 00:43:35.440 ⇒ 00:43:36.500 Uttam Kumaran: These ones, right.
460 00:43:36.500 ⇒ 00:43:39.970 Amber Lin: Think. Uta moved it to meeting, grooming.
461 00:43:40.670 ⇒ 00:43:41.540 Uttam Kumaran: Yeah.
462 00:43:41.780 ⇒ 00:43:42.100 Amber Lin: Oh!
463 00:43:42.100 ⇒ 00:43:45.439 Uttam Kumaran: I just wanted to mark which ones like still needed some work.
464 00:43:46.840 ⇒ 00:44:06.910 Uttam Kumaran: My, my only feedback is like, though I kind of give. Maybe I’ll let you guys decide what to do. But if you take on tickets in the cycle that don’t have clear requirements. You’re gonna you’re gonna eat it in terms of days where you have to fill those out. So my push back would be, try not to take anything on
465 00:44:07.260 ⇒ 00:44:12.160 Uttam Kumaran: in the cycle that we’re not clear on, especially if it’s like a client has to give
466 00:44:12.330 ⇒ 00:44:17.509 Uttam Kumaran: the description like if you take these on, and Emily can’t give you the stuff
467 00:44:17.900 ⇒ 00:44:21.210 Uttam Kumaran: until like Wednesday, then you’ve already lost few days.
468 00:44:21.540 ⇒ 00:44:26.139 Uttam Kumaran: So I guess my point was just to move stuff over here that’s like
469 00:44:26.560 ⇒ 00:44:29.140 Uttam Kumaran: didn’t have anything. But I’ll leave it to you.
470 00:44:29.140 ⇒ 00:44:29.780 Amber Lin: I.
471 00:44:29.780 ⇒ 00:44:30.540 Uttam Kumaran: Yeah, yeah.
472 00:44:30.540 ⇒ 00:44:40.469 Amber Lin: I I agree, I totally agree. I told Emily with these tickets to put it in, then like
473 00:44:41.720 ⇒ 00:44:48.409 Amber Lin: requirements started essentially, and also that if, unless it’s very, very urgent
474 00:44:48.530 ⇒ 00:44:56.539 Amber Lin: to not put it in the current cycle, and we’ll bring it up in the retro. So we’ll talk about how we’re gonna handle tickets because we didn’t know.
475 00:44:56.540 ⇒ 00:44:58.040 Uttam Kumaran: Before this happened.
476 00:44:58.290 ⇒ 00:44:59.740 Uttam Kumaran: So this is good, I agree.
477 00:45:00.670 ⇒ 00:45:01.950 Amber Lin: Yeah, for her.
478 00:45:01.950 ⇒ 00:45:03.840 Demilade Agboola: So. So I think we’d like.
479 00:45:03.840 ⇒ 00:45:05.033 Amber Lin: Thank you.
480 00:45:05.880 ⇒ 00:45:12.999 Demilade Agboola: The thing like open standards is that there’s a lot of like chaos right? So in as much as we’re trying to build
481 00:45:13.220 ⇒ 00:45:19.680 Demilade Agboola: like, you know. Emily will mention it on this call. They’re like she gets a lot of requests and a lot of things that like
482 00:45:19.950 ⇒ 00:45:26.270 Demilade Agboola: are breaking so it’s kind of like that balance between
483 00:45:26.460 ⇒ 00:45:38.070 Demilade Agboola: trying to build things and trying to fix things. But of course we don’t want to spend too much time fixing things, because, like that, that’s just the waste of like productive hours for us.
484 00:45:38.590 ⇒ 00:45:39.750 Demilade Agboola: Alright.
485 00:45:40.050 ⇒ 00:45:43.470 Amber Lin: Yeah, I don’t know how long this is. Gonna take her.
486 00:45:44.420 ⇒ 00:45:50.420 Uttam Kumaran: Yeah. So I also created, there’s a there’s also a project called ad hoc, that I made.
487 00:45:50.420 ⇒ 00:45:51.100 Amber Lin: Love, toss.
488 00:45:51.100 ⇒ 00:45:51.710 Uttam Kumaran: Then.
489 00:45:53.224 ⇒ 00:45:56.459 Uttam Kumaran: That way. That way you can start to look at like.
490 00:45:56.460 ⇒ 00:45:57.090 Amber Lin: Yay!
491 00:45:57.543 ⇒ 00:46:00.720 Uttam Kumaran: Yeah, what’s ad hoc versus what’s not.
492 00:46:00.720 ⇒ 00:46:03.860 Amber Lin: Okay, shoot that one over.
493 00:46:06.810 ⇒ 00:46:14.010 Amber Lin: I made a tag, but I feel like the tags in linear. Not that great.
494 00:46:14.010 ⇒ 00:46:16.691 Uttam Kumaran: I don’t know. It’s kind of hard to use.
495 00:46:19.270 ⇒ 00:46:20.520 Amber Lin: These 2.
496 00:46:21.080 ⇒ 00:46:30.130 Amber Lin: Alright look, I’m gonna move those back just so that I can ask Emily.
497 00:46:30.130 ⇒ 00:46:31.349 Uttam Kumaran: Fine. Yeah.
498 00:46:31.350 ⇒ 00:46:36.130 Amber Lin: Is in cycle, and then I’ll ask her to fill out those tickets. But moving forward, I think I’ll take your approach
499 00:47:20.220 ⇒ 00:47:21.030 Amber Lin: alright.
500 00:47:21.810 ⇒ 00:47:24.370 Amber Lin: Going back on.
501 00:47:24.870 ⇒ 00:47:34.380 Amber Lin: Yeah, looking at the inventory one. So Emily is gonna build that initial like a small model. Today, she’s gonna finish that. So we can start this next cycle
502 00:47:35.979 ⇒ 00:47:41.430 Amber Lin: Demo, when we talked about this last time, this was a pretty big ticket.
503 00:47:42.740 ⇒ 00:47:47.840 Amber Lin: Is this still 8 points? Can we break it down into smaller tickets.
504 00:47:49.310 ⇒ 00:47:50.570 Amber Lin: Any input there.
505 00:47:52.152 ⇒ 00:47:55.780 Demilade Agboola: Yes, yes, we can break down to smaller tickets. I think.
506 00:47:55.780 ⇒ 00:47:56.440 Amber Lin: Look like.
507 00:47:58.396 ⇒ 00:48:01.799 Demilade Agboola: I think the 1st ticket would be
508 00:48:04.080 ⇒ 00:48:08.230 Demilade Agboola: Going over the actual existing models. That will be the 1st part of it.
509 00:48:08.820 ⇒ 00:48:13.840 Demilade Agboola: The second part would be breaking that like
510 00:48:14.680 ⇒ 00:48:17.221 Demilade Agboola: the big models into smaller.
511 00:48:19.990 ⇒ 00:48:22.319 Demilade Agboola: they’re like breaking down. So yeah.
512 00:48:22.560 ⇒ 00:48:27.490 Demilade Agboola: like, actually going over. So like, 1st of all, be going over the models. So like going through
513 00:48:28.330 ⇒ 00:48:33.083 Demilade Agboola: all the lines. See what’s going on. Understand? Like the actual logic that exists there?
514 00:48:35.280 ⇒ 00:48:45.160 Demilade Agboola: figuring out any potholes like any like issues that we’re having with there as well, and things that we need to go around and things that’s you know, the way the patches exists.
515 00:48:46.641 ⇒ 00:48:50.189 Demilade Agboola: And then so that’s 1 part.
516 00:48:55.460 ⇒ 00:48:57.020 Amber Lin: Gonna make it here. I’ll stop.
517 00:48:57.710 ⇒ 00:49:02.160 Demilade Agboola: Yeah, and then breaking it down into like, smaller
518 00:49:04.480 ⇒ 00:49:10.929 Demilade Agboola: into smaller models. So once we able to figure out what models we need to use
519 00:49:11.850 ⇒ 00:49:16.879 Demilade Agboola: to. So we can have like modularity within our Dvt space.
520 00:49:17.170 ⇒ 00:49:19.530 Demilade Agboola: That’s the next part. And then
521 00:49:22.580 ⇒ 00:49:23.810 Demilade Agboola: on
522 00:49:24.230 ⇒ 00:49:40.330 Demilade Agboola: the once we have that end of tight to get to. But once we have the smaller models, we’ll be using that to feed into what currently exists. But we’ll need to test. Actually, technically, we need to test first, st but once we test on, the ask is what we desire.
523 00:49:41.447 ⇒ 00:49:50.289 Demilade Agboola: We will then use that to start replacing the things that the current model is dependent on.
524 00:49:56.970 ⇒ 00:50:04.710 Amber Lin: Yeah, okay, so I’m gonna take that out.
525 00:50:04.950 ⇒ 00:50:06.820 Amber Lin: Divide these
526 00:50:29.780 ⇒ 00:50:30.530 Amber Lin: spec.
527 00:50:30.860 ⇒ 00:50:33.880 Amber Lin: Mark this as duplicate.
528 00:50:52.430 ⇒ 00:51:08.550 Caio Velasco: One question. So the maybe more, even for you, Tom. The meeting with Emily was going over ingestion sources, and I remember that you mentioned in the meeting that they could also end up killing the
529 00:51:09.050 ⇒ 00:51:24.209 Caio Velasco: the the tables in redsheet, obviously. And but still we will. We still do some some flagging on the red sheet side itself? Or or will that be coming only from the DVD part that the Mila is doing.
530 00:51:27.550 ⇒ 00:51:29.809 Uttam Kumaran: It’s a good question, like I’m
531 00:51:30.050 ⇒ 00:51:35.399 Uttam Kumaran: I’m sort of less concerned with deleting it out of redshift
532 00:51:36.790 ⇒ 00:51:40.729 Uttam Kumaran: than I am. Just like getting rid of it in the ingestion source
533 00:51:42.820 ⇒ 00:51:52.700 Uttam Kumaran: meaning like. So when the tables get ingested they get created, and if the sync stops, then the tables still live there, I would I would love to just go and delete those.
534 00:51:52.970 ⇒ 00:51:56.820 Uttam Kumaran: That’s a lot riskier than just deleting the connection.
535 00:51:57.502 ⇒ 00:52:02.479 Uttam Kumaran: So I kind of want to go a little bit slowly, with stuff we do in redshift.
536 00:52:04.880 ⇒ 00:52:12.790 Demilade Agboola: Yeah, I agree with that. I I mean, obviously, we. We should get to that, maybe not in like this next, maybe not. The next couple of weeks.
537 00:52:13.502 ⇒ 00:52:18.980 Demilade Agboola: But obviously, yes, redshift, like housekeeping will be necessary.
538 00:52:19.968 ⇒ 00:52:23.400 Demilade Agboola: And I think that might potentially be easier.
539 00:52:23.560 ⇒ 00:52:26.210 Demilade Agboola: because we already know what we’ve turned off.
540 00:52:26.330 ⇒ 00:52:28.660 Demilade Agboola: I didn’t know, if anyone
541 00:52:29.150 ⇒ 00:52:40.619 Demilade Agboola: that the data is still, we already know, if, like those kind of complaints would have come back to us, and we’ll know what’s going on before we can just do a full part of it.
542 00:52:47.950 ⇒ 00:52:51.630 Amber Lin: So it seems like we should change.
543 00:52:58.470 ⇒ 00:53:04.659 Amber Lin: So it seems like we should have something different for Red Shirt.
544 00:53:05.240 ⇒ 00:53:11.049 Amber Lin: Is that what I heard something where we’re talking about something. Here.
545 00:53:11.480 ⇒ 00:53:17.959 Demilade Agboola: Yeah. So we need a different process for redshift. But that will be further down the line, maybe like 3, 4 weeks down the line.
546 00:53:18.900 ⇒ 00:53:19.580 Amber Lin: Okay,
547 00:53:21.660 ⇒ 00:53:22.670 Amber Lin: So
548 00:53:22.890 ⇒ 00:53:31.350 Amber Lin: for me, I just want to confirm that these, the current 2 that we discussed for next cycle, or what we’re doing for this cycle doesn’t change.
549 00:53:36.440 ⇒ 00:53:41.379 Uttam Kumaran: I I just think like there’s no, I don’t think we’ve labeled a step called Drop from Redshift.
550 00:53:41.690 ⇒ 00:53:48.420 Uttam Kumaran: Maybe I would go ahead and create that ticket and then keep it in the backlog. For, like cycle 7 or Cycle 8.
551 00:53:50.550 ⇒ 00:53:56.159 Uttam Kumaran: It’s just like the only thing it’s gonna help with really is that our redshift is less cluttered.
552 00:53:56.800 ⇒ 00:54:02.600 Uttam Kumaran: But it’s not. Gonna it’s not really like redshift for them. Isn’t really that expensive? So.
553 00:54:03.470 ⇒ 00:54:11.489 Demilade Agboola: Yeah. And Gen. Generally, storage is way cheaper than compute. So if you wanna save money, you should be looking more compute and storage.
554 00:54:12.090 ⇒ 00:54:20.219 Demilade Agboola: So the fact that it’s being stored is fine. Obviously, we’ll save money by dropping it. But it’s not that much relative to
555 00:54:21.900 ⇒ 00:54:23.290 Demilade Agboola: being gesture interesting.
556 00:54:23.290 ⇒ 00:54:24.120 Demilade Agboola: Okay, thanks.
557 00:54:24.860 ⇒ 00:54:28.489 Amber Lin: I see. So this ticket. What are we? What is the goal here?
558 00:54:29.660 ⇒ 00:54:31.399 Demilade Agboola: The things that we’ve turned off.
559 00:54:32.292 ⇒ 00:54:38.979 Demilade Agboola: We will need to get them dropped from redshift eventually. So the ingestion tables that we’ve we’ve turned off
560 00:54:45.970 ⇒ 00:54:52.409 Demilade Agboola: or turned off from speech. I don’t know how to explain the multiples from speech, and people like.
561 00:54:52.760 ⇒ 00:54:58.959 Demilade Agboola: If one stitch tables that are not used, we will then drop them from Egypt, or drop them in red. Chip.
562 00:55:07.990 ⇒ 00:55:08.670 Amber Lin: Awesome.
563 00:55:14.100 ⇒ 00:55:15.220 Amber Lin: great issue.
564 00:55:15.720 ⇒ 00:55:17.549 Amber Lin: Great! I like it.
565 00:55:21.700 ⇒ 00:55:22.760 Amber Lin: Here.
566 00:55:58.950 ⇒ 00:56:03.340 Amber Lin: can you give estimates for these 3?
567 00:56:03.920 ⇒ 00:56:06.090 Amber Lin: We’re gonna do an excitement.
568 00:56:14.920 ⇒ 00:56:17.449 Demilade Agboola: So going over the existing models you take
569 00:56:20.280 ⇒ 00:56:23.190 Demilade Agboola: should take about a day or 2.
570 00:56:24.600 ⇒ 00:56:26.050 Demilade Agboola: I didn’t know.
571 00:56:27.810 ⇒ 00:56:29.890 Demilade Agboola: I don’t know what that is in terms of points.
572 00:56:29.890 ⇒ 00:56:35.760 Amber Lin: I think 3, 3, 4 in this round a day and 5 points is like, excuse me, good day.
573 00:56:36.480 ⇒ 00:56:38.370 Demilade Agboola: I can see comments. Okay with your points. Then
574 00:56:45.790 ⇒ 00:56:47.139 Amber Lin: Take down visual.
575 00:56:48.000 ⇒ 00:56:52.569 Demilade Agboola: Yeah. So breaking down the big models and small models, that is probably like 5 points.
576 00:56:54.480 ⇒ 00:56:59.199 Demilade Agboola: Because that’s like building and testing. I mean, like that contains quite a bit.
577 00:57:03.090 ⇒ 00:57:13.179 Demilade Agboola: and then use small models. So that’s probably like 1 point or 2 points like once the models have been validated. It’s not really that hard to think. That’s like one or 2 points.
578 00:57:14.790 ⇒ 00:57:21.519 Amber Lin: He sounds good just checking. If there’s anything here
579 00:57:22.130 ⇒ 00:57:25.080 Amber Lin: that you wanted to do simultaneously.
580 00:57:28.389 ⇒ 00:57:35.649 Demilade Agboola: For some of the backlog items. Yeah, we can do some of the cleanup code base cleanup 76 and 77. Really, we can start them now.
581 00:57:36.875 ⇒ 00:57:41.330 Demilade Agboola: Those are like not stuff.
582 00:57:43.997 ⇒ 00:57:45.299 Demilade Agboola: Yes, some. 6, and sun 7.
583 00:57:45.300 ⇒ 00:57:47.380 Amber Lin: Refresher tested. Okay, so
584 00:57:56.720 ⇒ 00:57:57.750 Amber Lin: requirements.
585 00:57:58.710 ⇒ 00:57:59.620 Amber Lin: Well, awesome.
586 00:58:21.760 ⇒ 00:58:27.750 Amber Lin: So that if you identify anything that we you need from someone else, that will be.
587 00:58:29.100 ⇒ 00:58:32.320 Amber Lin: That will be a guardrail for that.
588 00:58:35.500 ⇒ 00:58:36.270 Demilade Agboola: Okay.
589 00:58:39.010 ⇒ 00:58:45.329 Amber Lin: I have a bit more time. We have just inventory image revenue stuff
590 00:58:45.450 ⇒ 00:58:47.300 Amber Lin: that we need to look at.
591 00:58:50.710 ⇒ 00:58:58.080 Amber Lin: So we already broke it down a little bit to audit all the revenue models. I think Ellie is. Gonna take on. Do you think we should
592 00:58:58.200 ⇒ 00:59:00.950 Amber Lin: use a meeting with her to get that done?
593 00:59:05.990 ⇒ 00:59:08.209 Demilade Agboola: Yeah, I think I think
594 00:59:08.440 ⇒ 00:59:12.579 Demilade Agboola: that would be. Yeah, we should definitely give me something just to sync on that. We have
595 00:59:15.760 ⇒ 00:59:23.540 Demilade Agboola: especially things around issues with that as well as current struggles.
596 00:59:24.450 ⇒ 00:59:26.099 Demilade Agboola: That would be very helpful.
597 00:59:27.600 ⇒ 00:59:29.075 Amber Lin: So that would be you.
598 00:59:29.370 ⇒ 00:59:30.559 Demilade Agboola: Yeah, yeah, sure.
599 00:59:45.260 ⇒ 00:59:47.043 Uttam Kumaran: Hey, guys, I gotta drop.
600 00:59:47.400 ⇒ 00:59:50.510 Amber Lin: Okay, yeah, don’t worry. We’re pretty. We’re pretty. Okay.
601 00:59:51.190 ⇒ 00:59:55.410 Amber Lin: This is ideal state authorities rebuilt.
602 00:59:56.450 ⇒ 00:59:58.070 Amber Lin: Am I? Gonna estimate that.
603 01:00:06.370 ⇒ 01:00:08.160 Demilade Agboola: This is for what revenue.
604 01:00:09.090 ⇒ 01:00:10.042 Amber Lin: Yeah, for revenue.
605 01:00:12.090 ⇒ 01:00:14.929 Demilade Agboola: So that is probably a
606 01:00:15.190 ⇒ 01:00:18.339 Demilade Agboola: by 3 to 5 points on task.
607 01:00:22.320 ⇒ 01:00:23.060 Amber Lin: Be safe.
608 01:00:25.640 ⇒ 01:00:31.580 Amber Lin: I think this is smaller. This is more like running through stuff and make sure we.
609 01:00:34.770 ⇒ 01:00:37.010 Demilade Agboola: They’re engineering skills.
610 01:00:37.250 ⇒ 01:00:39.459 Demilade Agboola: Yeah, that’s probably like a 2 point task.
611 01:00:41.670 ⇒ 01:00:46.739 Amber Lin: Maybe that could be Kyle. We’ll look at assignments later, when we kick off.
612 01:00:46.870 ⇒ 01:00:47.689 Amber Lin: Just wanted to help.
613 01:00:47.690 ⇒ 01:00:48.430 Demilade Agboola: Yeah, yeah.
614 01:00:48.590 ⇒ 01:00:53.499 Amber Lin: Submits that we’re related to.
615 01:01:04.190 ⇒ 01:01:04.960 Amber Lin: Okay.
616 01:01:05.170 ⇒ 01:01:15.179 Amber Lin: yeah, that’s all for me. Let’s go through them at. I’ll add anyone if I need requirements on tickets. But thank you all, I think we’re a lot more prepared
617 01:01:15.490 ⇒ 01:01:16.959 Amber Lin: for when we kick off.
618 01:01:17.740 ⇒ 01:01:23.699 Demilade Agboola: Yeah, sure. Also, I just wanted to point out that I I do have a conflict with my Eden. Stand up
619 01:01:24.060 ⇒ 01:01:25.169 Demilade Agboola: at the hour.
620 01:01:25.170 ⇒ 01:01:28.489 Amber Lin: oh oh oh dear!
621 01:01:28.490 ⇒ 01:01:29.190 Demilade Agboola: Yeah.
622 01:01:31.420 ⇒ 01:01:32.260 Demilade Agboola: I would have to just.
623 01:01:32.260 ⇒ 01:01:32.990 Amber Lin: Sorry.
624 01:01:33.260 ⇒ 01:01:34.800 Demilade Agboola: Yeah, I’ll.
625 01:01:35.620 ⇒ 01:01:38.047 Amber Lin: Let me check. Let me check. Give me a second
626 01:01:38.820 ⇒ 01:01:41.219 Demilade Agboola: I’ll try and reach out to Robertson. Just let him know.
627 01:01:42.890 ⇒ 01:01:45.640 Amber Lin: Even we can pick off
628 01:01:52.200 ⇒ 01:01:55.140 Amber Lin: Maybe if they can do it like an hour
629 01:01:55.270 ⇒ 01:01:58.105 Amber Lin: like the 3rd right like right now.
630 01:01:59.310 ⇒ 01:02:02.480 Demilade Agboola: Yeah, well, it’s kind of too late to like, get people here right now.
631 01:02:02.480 ⇒ 01:02:03.889 Amber Lin: Oh, I’m sorry!
632 01:02:04.570 ⇒ 01:02:11.439 Demilade Agboola: Yeah, it’s fine. So potentially, I’ll
633 01:02:11.770 ⇒ 01:02:23.079 Demilade Agboola: I will try and see if I’ll talk to Robert. I’m just trying to see if it’s fine like. If he needs me. I don’t think I’m I’ll be needed for the stand up. I will just update my tickets, Async.
634 01:02:23.080 ⇒ 01:02:25.910 Amber Lin: It’s a weekly kick off for internal meetings.
635 01:02:26.240 ⇒ 01:02:30.309 Amber Lin: But thank you. Thank you for pointing that out, and next time we can all
636 01:02:30.420 ⇒ 01:02:32.719 Amber Lin: like we’ll we’ll check calendars before.
637 01:02:33.720 ⇒ 01:02:35.340 Demilade Agboola: Okay. Alright. Sounds good.
638 01:02:35.810 ⇒ 01:02:37.230 Demilade Agboola: Alright, bye.
639 01:02:37.230 ⇒ 01:02:39.269 Amber Lin: 30 min. Bye-bye.
640 01:02:39.270 ⇒ 01:02:40.100 Caio Velasco: Bye-bye.
641 01:02:40.490 ⇒ 01:02:41.080 Demilade Agboola: Bye.