Meeting Title: Javy-Project-Internal-Review Date: 2024-09-26 Meeting participants: Brian Pei, Nicolas Sucari, Uttam Kumaran


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1 00:01:05.129 00:01:06.149 Brian Pei: Yo.

2 00:01:06.179 00:01:07.689 Brian Pei: Hello! Good morning.

3 00:01:08.279 00:01:09.709 Brian Pei: or at least for me.

4 00:01:10.290 00:01:12.960 Nicolas Sucari: Hey, Brian, good morning! How are you?

5 00:01:12.960 00:01:17.309 Brian Pei: What’s up? I just woke up, but everything’s cool. Everything’s good.

6 00:01:18.100 00:01:22.089 Nicolas Sucari: Excellent sorry. I think we’ve moved this meeting, or we moved it.

7 00:01:22.160 00:01:26.000 Nicolas Sucari: starting next. Yeah, sorry I moved it for next week on this one.

8 00:01:26.270 00:01:26.800 Brian Pei: It’s okay.

9 00:01:26.800 00:01:27.350 Nicolas Sucari: Okay.

10 00:01:27.350 00:01:28.780 Brian Pei: Starting next week. Yeah.

11 00:01:29.010 00:01:29.710 Brian Pei: Have you ever.

12 00:01:29.710 00:01:31.519 Nicolas Sucari: Already had your morning coffee.

13 00:01:32.060 00:01:37.070 Brian Pei: No, I’m gonna get it right after I I tell you what’s going on.

14 00:01:38.920 00:01:42.319 Brian Pei: I’m going to write out.

15 00:01:42.400 00:01:46.909 Brian Pei: Oh, my God! Did I just lose all my work. No, I didn’t. Okay, we’re totally good. So

16 00:01:49.190 00:01:53.770 Brian Pei: let me let me type out what I’ve been working on

17 00:01:53.890 00:01:58.489 Brian Pei: for you, so you don’t have to just like write it down. So I’m gonna type and talk at the same time.

18 00:01:58.620 00:02:02.250 Brian Pei: So what I’ve been what I’ve been doing is

19 00:02:03.680 00:02:04.810 Brian Pei: Snowflake

20 00:02:04.860 00:02:06.300 Brian Pei: sequel

21 00:02:06.480 00:02:07.560 Brian Pei: modeling

22 00:02:07.800 00:02:09.150 Brian Pei: work company.

23 00:02:09.696 00:02:14.820 Brian Pei: So before I write anything in Dbt, I have to know

24 00:02:15.370 00:02:21.650 Brian Pei: the the data that I’m looking at. So I’m mostly in Snowflake, querying all these tables and seeing

25 00:02:21.790 00:02:24.000 Brian Pei: what’s in it, and then writing

26 00:02:24.040 00:02:26.189 Brian Pei: some sequel in Snowflake

27 00:02:26.220 00:02:27.850 Brian Pei: to test.

28 00:02:27.850 00:02:28.440 Nicolas Sucari: Okay.

29 00:02:28.440 00:02:30.000 Brian Pei: Business logic. So I’m not.

30 00:02:31.820 00:02:41.139 Brian Pei: for yeah, for projects that like, just start. I can’t just go straight into Dbt. If I don’t really know what I’m looking at. So what I’ve been planning is

31 00:02:42.270 00:02:43.750 Brian Pei: for shopify.

32 00:02:44.030 00:02:46.779 Brian Pei: I have some queries written to create.

33 00:02:48.650 00:02:49.900 Brian Pei: customer

34 00:02:50.800 00:02:52.540 Brian Pei: order line.

35 00:02:52.830 00:02:55.689 Brian Pei: which is very similar to pool parts to go

36 00:02:56.550 00:02:57.270 Nicolas Sucari: Okay.

37 00:02:57.270 00:02:58.220 Brian Pei: Order

38 00:02:58.460 00:02:59.340 Brian Pei: with

39 00:03:01.220 00:03:05.019 Brian Pei: with tiktok tags, and like all the other tags

40 00:03:05.250 00:03:07.919 Brian Pei: product, which is like

41 00:03:08.100 00:03:11.149 Brian Pei: skew and type of coffee product.

42 00:03:12.320 00:03:15.079 Brian Pei: Subscriptions.

43 00:03:17.400 00:03:18.310 Brian Pei: sips.

44 00:03:18.790 00:03:19.780 Brian Pei: shins

45 00:03:19.890 00:03:21.760 Brian Pei: and transactions.

46 00:03:22.010 00:03:28.910 Brian Pei: So I just wrote all that down. So you don’t have to worry about it. So those are this, like, basically 6 shopify

47 00:03:29.220 00:03:32.230 Brian Pei: tables that I’m working on the logic for.

48 00:03:32.900 00:03:34.630 Brian Pei: and Amazon.

49 00:03:35.200 00:03:37.350 Brian Pei: I have orders

50 00:03:37.770 00:03:39.030 Brian Pei: and

51 00:03:39.060 00:03:41.240 Brian Pei: products and

52 00:03:44.710 00:03:48.979 Brian Pei: the note from Aman is Amazon. Customers

53 00:03:49.360 00:03:51.100 Brian Pei: don’t have

54 00:03:52.700 00:03:56.290 Brian Pei: identifiable information.

55 00:03:57.290 00:04:01.260 Brian Pei: so I can’t make Amazon customers table.

56 00:04:02.220 00:04:08.320 Brian Pei: We’ll see if I can join on at shipping address.

57 00:04:10.692 00:04:13.950 Brian Pei: So that’s shopify Amazon, and then

58 00:04:14.640 00:04:16.480 Brian Pei: the final table

59 00:04:17.149 00:04:18.390 Brian Pei: will be

60 00:04:19.079 00:04:21.430 Brian Pei: orders, all

61 00:04:21.470 00:04:23.540 Brian Pei: Amazon plus shopify

62 00:04:24.490 00:04:26.200 Brian Pei: product, all

63 00:04:27.680 00:04:30.230 Brian Pei: Amazon plus shopify

64 00:04:31.140 00:04:32.450 Brian Pei: and

65 00:04:32.580 00:04:34.600 Brian Pei: subscriptions

66 00:04:34.820 00:04:36.400 Brian Pei: shopify only

67 00:04:36.710 00:04:37.990 Brian Pei: customers

68 00:04:38.100 00:04:40.969 Brian Pei: shopify only, maybe Amazon.

69 00:04:43.600 00:04:44.980 Brian Pei: Okay. So

70 00:04:47.430 00:04:49.640 Brian Pei: for for any updates that

71 00:04:49.890 00:04:52.940 Brian Pei: you would like to give to either Utam or Aman.

72 00:04:53.500 00:04:55.119 Brian Pei: You can let them know that

73 00:04:55.440 00:04:59.030 Brian Pei: I’m writing sequel in Snowflake.

74 00:04:59.250 00:05:00.740 Brian Pei: so that I can.

75 00:05:03.040 00:05:03.720 Brian Pei: So that.

76 00:05:03.720 00:05:04.909 Nicolas Sucari: Yeah, for understanding.

77 00:05:04.910 00:05:11.430 Brian Pei: The data. Yeah. So I can see that the yeah, exactly. The data looks right before. I move things to to Dbt.

78 00:05:12.300 00:05:12.880 Nicolas Sucari: Okay.

79 00:05:13.470 00:05:18.169 Brian Pei: And yeah, there’s like 40 tables. So I’ll probably have to do this today and tomorrow

80 00:05:18.280 00:05:21.940 Brian Pei: before I’m confident enough to use Dbt to create.

81 00:05:22.040 00:05:25.478 Brian Pei: you know, a table that is final.

82 00:05:27.080 00:05:28.600 Brian Pei: and.

83 00:05:29.120 00:05:34.154 Nicolas Sucari: Okay. But we are looking to have those 4 final tables. I think that’s fine.

84 00:05:34.770 00:05:48.600 Nicolas Sucari: let’s aim to to work on that for next meeting with a man. And then I was looking at Snowflake. And once those tables are final, we are gonna move them into analytics, right like into the database.

85 00:05:48.920 00:05:58.177 Brian Pei: Yeah. All the sequel that I’m writing is not creating anything. I’m just. I’m writing sequel. And then I’m looking at the results.

86 00:05:58.580 00:05:58.990 Nicolas Sucari: Okay.

87 00:05:59.010 00:06:00.860 Brian Pei: Dbt will create

88 00:06:00.940 00:06:03.420 Brian Pei: new tables. Okay.

89 00:06:03.460 00:06:06.820 Brian Pei: And that point will be sometime next week

90 00:06:07.460 00:06:07.940 Nicolas Sucari: Excellent.

91 00:06:07.940 00:06:12.569 Brian Pei: I’ll I’ll I’ll get as much as I can done before we talk with them on for that.

92 00:06:13.560 00:06:13.970 Nicolas Sucari: Okay.

93 00:06:13.970 00:06:24.236 Brian Pei: And then it’ll move and move to like, you know. Aman will look at the tables and let me know like, Oh, we don’t need this column. We need this other column. It’ll it’ll go back and forth through

94 00:06:25.414 00:06:29.105 Brian Pei: iterations because he didn’t really give us a blueprint of what he wanted.

95 00:06:29.390 00:06:30.669 Nicolas Sucari: Yeah, yeah, of course.

96 00:06:30.670 00:06:33.949 Brian Pei: Something before he can make any suggestions.

97 00:06:35.453 00:06:37.279 Brian Pei: And then

98 00:06:37.730 00:06:39.430 Brian Pei: and yeah. And so

99 00:06:40.260 00:06:42.710 Brian Pei: without these

100 00:06:42.850 00:06:48.200 Brian Pei: analytics tables, I also obviously can’t do real stuff. So I.

101 00:06:48.200 00:06:48.979 Nicolas Sucari: Yeah, I know.

102 00:06:48.980 00:06:50.329 Brian Pei: I haven’t touched real yet.

103 00:06:50.960 00:06:52.320 Nicolas Sucari: Yeah, yeah, don’t worry. I think.

104 00:06:52.320 00:06:54.629 Brian Pei: The sequel, the sequel, Logic. First.st

105 00:06:54.630 00:06:59.199 Nicolas Sucari: Yeah, once we have those final tables, we can easily create the real stuff

106 00:06:59.955 00:07:08.140 Nicolas Sucari: for now, let’s just focus on having those tables. I think that’s fine. And are we gonna use that like intermediate structure?

107 00:07:08.780 00:07:10.510 Nicolas Sucari: I don’t know if

108 00:07:10.620 00:07:14.409 Nicolas Sucari: that’s gonna be needed for an hour now, but we have that in.

109 00:07:14.660 00:07:18.720 Nicolas Sucari: Well, I can see the snowflake. I don’t know how we’re gonna structure, all of the different.

110 00:07:19.020 00:07:19.560 Nicolas Sucari: So.

111 00:07:19.560 00:07:22.459 Brian Pei: Raw is 5 tran intermediate.

112 00:07:23.030 00:07:23.735 Brian Pei: the

113 00:07:26.030 00:07:27.370 Brian Pei: Dbt.

114 00:07:27.540 00:07:29.840 Brian Pei: but not final tables.

115 00:07:29.890 00:07:32.230 Brian Pei: It’s like in between

116 00:07:32.460 00:07:34.680 Brian Pei: business logic tables.

117 00:07:34.810 00:07:37.030 Brian Pei: and then analytics

118 00:07:38.370 00:07:40.610 Brian Pei: will be report ready

119 00:07:40.730 00:07:41.510 Brian Pei: and.

120 00:07:41.510 00:07:42.430 Nicolas Sucari: Excellent.

121 00:07:42.430 00:07:43.950 Brian Pei: 3 ready Tables.

122 00:07:44.660 00:07:54.989 Nicolas Sucari: Perfect. Yeah, that’s gonna yeah. I’m gonna try to create some like diagram on how it’s gonna be that process so that we can share also with the man. But yeah, I think that would be okay.

123 00:07:55.700 00:08:00.990 Brian Pei: Yeah, like, intermediate, like an example would be When I

124 00:08:01.280 00:08:02.700 Brian Pei: I’m getting like.

125 00:08:02.800 00:08:09.140 Brian Pei: I’m getting customer emails in one place and customer addresses somewhere else, and there’s duplicates and customer addresses.

126 00:08:09.270 00:08:10.390 Brian Pei: so like

127 00:08:10.720 00:08:14.169 Brian Pei: intermediate is like customer addresses cleaned up

128 00:08:14.370 00:08:22.140 Brian Pei: so like nobody nobody will query it. But for me. I need it to be clean before I use it in the final customers table. It’s like stuff like that.

129 00:08:22.890 00:08:23.690 Nicolas Sucari: Perfect.

130 00:08:23.840 00:08:24.580 Nicolas Sucari: Okay.

131 00:08:26.700 00:08:32.876 Nicolas Sucari: Great. Yeah, I don’t know. I don’t think we have anything else, for now we need to.

132 00:08:33.220 00:08:34.010 Uttam Kumaran: Thing.

133 00:08:34.280 00:08:35.689 Brian Pei: Oh, shit! Who’s on.

134 00:08:36.110 00:08:39.990 Uttam Kumaran: You could probably take some of the code from pool parts. Dude.

135 00:08:40.750 00:08:42.890 Brian Pei: I did. I I tried

136 00:08:43.049 00:08:51.533 Brian Pei: the column. Names are different. And there’s a lot of there’s a lot of Json fields like I have to extract like currency and like

137 00:08:52.100 00:08:55.120 Brian Pei: prices and stuff from a Json field.

138 00:08:55.710 00:08:59.219 Brian Pei: Which is fine, like. Obviously, every environment is different.

139 00:08:59.614 00:09:05.960 Brian Pei: So I I looked at a lot of the pool part stuff for guidance of, like the final columns that people like to see

140 00:09:06.364 00:09:10.909 Brian Pei: but it. But I tried the the copy and paste didn’t work. Yeah, because the

141 00:09:12.180 00:09:18.959 Brian Pei: ha, half the call, half the custom column names are different, but you know half of it is the same. It’s it’s just not one to one.

142 00:09:19.650 00:09:24.089 Uttam Kumaran: Okay? And then also, we took a bunch of stuff from the shopify

143 00:09:24.590 00:09:26.890 Uttam Kumaran: 5 Tran Dbt package as well.

144 00:09:27.490 00:09:36.150 Brian Pei: Oh, I did that, too. I I clicked the button. So it created like an initial version of customer and order and stuff like that for me already.

145 00:09:36.610 00:09:37.150 Uttam Kumaran: Okay, cool.

146 00:09:39.830 00:09:46.819 Uttam Kumaran: Okay, great. Yeah. I’m just trying to see, like as we do more of these shopify ones and Amazon ones like how much we can just like reuse

147 00:09:48.640 00:09:53.420 Brian Pei: It’s definitely helpful. I I can’t 1 to one copy paste, but I’m I’m using it as a template.

148 00:09:54.300 00:09:56.129 Uttam Kumaran: Even, but even like the

149 00:09:56.440 00:09:59.690 Uttam Kumaran: the orders, they just don’t have the same call names.

150 00:10:01.195 00:10:04.844 Brian Pei: At least, I’ve been working on order line, and

151 00:10:05.390 00:10:06.530 Brian Pei: it’s

152 00:10:07.460 00:10:09.869 Brian Pei: fairly different.

153 00:10:09.870 00:10:10.430 Uttam Kumaran: Okay.

154 00:10:14.060 00:10:16.519 Brian Pei: Oh, it’s called order items and pull parts to go.

155 00:10:17.930 00:10:22.624 Brian Pei: Yeah, I mean it. It’ll have, you know, like quantity and date and stuff.

156 00:10:23.370 00:10:24.190 Brian Pei: but

157 00:10:24.740 00:10:27.225 Brian Pei: what I was looking at is

158 00:10:30.600 00:10:38.019 Brian Pei: right? So, like all their discounts in shopify for coffee is called total discount, total discount set.

159 00:10:38.340 00:10:40.640 Brian Pei: It’s a Json field, with like.

160 00:10:40.640 00:10:41.360 Uttam Kumaran: Oh!

161 00:10:41.360 00:10:43.279 Brian Pei: In it, and then price set

162 00:10:44.030 00:10:46.189 Brian Pei: and they call it different. They call it.

163 00:10:46.190 00:10:46.830 Uttam Kumaran: Yeah.

164 00:10:46.830 00:10:48.170 Brian Pei: Resentment. Money

165 00:10:50.660 00:10:54.969 Brian Pei: stuff like shop money so it’s just a little bit different. But it’s like, not that big of a deal.

166 00:10:55.690 00:10:57.419 Uttam Kumaran: Okay, cool. Okay.

167 00:10:58.270 00:10:59.710 Uttam Kumaran: makes sense.

168 00:11:03.390 00:11:07.759 Uttam Kumaran: I mean, I honestly like, I even think that sort of stuff is helpful to show them on.

169 00:11:07.860 00:11:14.669 Uttam Kumaran: Because, again, like our one of the things that like. And I’m just kinda kinda keep beating a dead horse. But

170 00:11:14.790 00:11:20.289 Uttam Kumaran: our game is a bit of like buying time before we can give you enough time to do

171 00:11:20.400 00:11:21.840 Uttam Kumaran: like the modeling.

172 00:11:21.920 00:11:28.430 Uttam Kumaran: And so the one thing for customers is, it’s not like we’re internal where we can just like

173 00:11:28.660 00:11:31.209 Uttam Kumaran: come to stand up and be like still working.

174 00:11:31.632 00:11:40.700 Uttam Kumaran: It’s more of like, although that may be true. I also want to provide them with like a ton of context like, just hammer them with context and communication.

175 00:11:40.900 00:11:45.059 Uttam Kumaran: Right? Like, if we can share like, Hey, this is, this is like some of the stuff we’re seeing

176 00:11:45.130 00:11:51.530 Uttam Kumaran: like, here’s how to get into Snowflake. That’s all stuff for free that like it’s just sitting there. So that’s

177 00:11:52.120 00:11:56.330 Uttam Kumaran: I think more on on Nico side to just gather from Brian like, Hey, we’re seeing stuff.

178 00:11:56.330 00:11:56.670 Nicolas Sucari: Yes.

179 00:11:56.670 00:12:08.769 Uttam Kumaran: Discounts and price set and just share with him, like I would say, like, I wanted to come across that we’re like over communicating, because the one thing you don’t want with consultants is is silence.

180 00:12:09.462 00:12:15.600 Uttam Kumaran: Because I cause Nico we have consultants, and you know I don’t like when there’s silence. And so.

181 00:12:15.600 00:12:16.660 Nicolas Sucari: Oh, yeah. Totally.

182 00:12:16.660 00:12:18.459 Uttam Kumaran: It’s the same thing for us.

183 00:12:19.170 00:12:20.430 Uttam Kumaran: So yeah.

184 00:12:20.430 00:12:28.090 Brian Pei: No, I asked him on like 15 questions in our last meeting. To get back to me with some stuff.

185 00:12:29.160 00:12:38.059 Nicolas Sucari: Maybe we can. Yeah, if you if you find some more stuff that you have questions just let’s send some slack

186 00:12:38.414 00:12:44.520 Nicolas Sucari: to him so that we can ask those questions and see. And then he can see that we are still looking into that stuff.

187 00:12:47.050 00:12:49.090 Nicolas Sucari: Yeah, I think that would be useful.

188 00:12:50.100 00:12:51.829 Brian Pei: I will ask him when I have a.

189 00:12:52.730 00:12:53.390 Nicolas Sucari: Okay.

190 00:12:53.390 00:12:54.576 Brian Pei: Actual like

191 00:12:56.300 00:12:59.260 Brian Pei: actual data quality question.

192 00:12:59.670 00:13:05.400 Brian Pei: So like, for example, I’m I’m modeling subscriptions out for him. Utam. And I was like.

193 00:13:05.940 00:13:08.780 Brian Pei: it’s like, Yeah, I have. I have subscription

194 00:13:08.960 00:13:12.159 Brian Pei: as a tag. But what are your rules for?

195 00:13:13.430 00:13:19.509 Brian Pei: somebody who doesn’t have a subscription but orders every month versus someone who stops subscription. Then orders again.

196 00:13:19.510 00:13:19.930 Uttam Kumaran: Yeah.

197 00:13:19.930 00:13:23.290 Brian Pei: And reactivates. What’s your definition of reactivation?

198 00:13:23.300 00:13:33.179 Brian Pei: And do you care about like the subscription start and end time? Those are all questions I asked him last meeting, and he was like, I don’t know. Let me get back to you, so I’ll keep doing that.

199 00:13:34.650 00:13:35.829 Uttam Kumaran: Okay. Okay. Cool.

200 00:13:37.100 00:13:39.149 Brian Pei: They’re just selling coffee. It’s all good.

201 00:13:39.550 00:13:44.160 Uttam Kumaran: Yeah, no, I’m just gonna because it’s even a good reminder for me.

202 00:13:45.120 00:13:46.600 Uttam Kumaran: so just know

203 00:13:46.870 00:13:48.929 Uttam Kumaran: like where we are in the food chain and.

204 00:13:48.930 00:13:54.126 Brian Pei: And yeah, here’s here’s another data example that he shared with us.

205 00:13:54.940 00:14:00.829 Brian Pei: in Amazon they they wipe out Pii so we can’t get Amazon customers.

206 00:14:01.290 00:14:02.369 Brian Pei: So when I make.

207 00:14:02.370 00:14:03.260 Uttam Kumaran: Yeah.

208 00:14:03.260 00:14:05.120 Brian Pei: Consolidated Customer table.

209 00:14:05.300 00:14:11.969 Brian Pei: He was like, we either like Don’t include Amazon, or we try to do a Fuzzy join on shipping address so like.

210 00:14:11.970 00:14:18.439 Uttam Kumaran: Yeah, you’re not. They’re not gonna give you unless it’s fulfilled by them. They’re not gonna give you the shipping address.

211 00:14:18.730 00:14:19.599 Brian Pei: Yeah, exactly.

212 00:14:20.070 00:14:21.010 Uttam Kumaran: So what

213 00:14:21.500 00:14:26.500 Uttam Kumaran: this is where like, you can see what we did, for pool parts is pool parts only looks at their shopify customers

214 00:14:26.870 00:14:37.190 Uttam Kumaran: we tried to do. I mean, I had the same idea which is like some people may buy on Amazon and then buy on shopify. But the overlap was really low, mostly on pool parts by once.

215 00:14:37.360 00:14:42.469 Uttam Kumaran: but it may be cool to see that like it’s almost like shopify, plus the ones that we can resolve

216 00:14:43.632 00:14:47.870 Uttam Kumaran: but then the only thing to avoid there is doing things like comparing, like the

217 00:14:47.910 00:14:51.309 Uttam Kumaran: looking at total sales from that customers table versus another thing.

218 00:14:52.017 00:14:54.660 Uttam Kumaran: Just wanna be really clear of like.

219 00:14:54.810 00:14:57.559 Uttam Kumaran: these are the customers that we can resolve this for

220 00:14:59.060 00:15:07.929 Uttam Kumaran: But yeah, I mean, makes sense. Yes, Amazon gives you like weird email addresses, and then, if they fulfill it, they don’t give you any. The address comes in hash, so.

221 00:15:08.200 00:15:08.870 Brian Pei: Yeah.

222 00:15:09.800 00:15:18.139 Brian Pei: But yeah, and then that’s just on the customer side. And then like orders, though, I can union them and be fine and have a have a column for source, and

223 00:15:18.180 00:15:20.089 Brian Pei: the stuff that you guys did with pool parts.

224 00:15:20.611 00:15:30.379 Brian Pei: All of which to say is like, we we are asking questions, specific questions, and as I dig deeper into creating the initial tables.

225 00:15:31.640 00:15:34.870 Brian Pei: you know I I’ll always have stuff to present to him on

226 00:15:35.090 00:15:36.500 Brian Pei: cool.

227 00:15:36.680 00:15:39.560 Brian Pei: and I’ll let you know how it goes with

228 00:15:40.180 00:15:44.429 Brian Pei: I I before you joined I I pinged Nico a list.

229 00:15:44.430 00:15:45.200 Nicolas Sucari: Yeah.

230 00:15:45.200 00:15:49.200 Brian Pei: 9 tables that I’m working on the business logic for right now

231 00:15:49.330 00:15:50.850 Brian Pei: cool. And they didn’t give us.

232 00:15:50.850 00:15:52.529 Uttam Kumaran: I heard I heard that part. I was on.

233 00:15:52.530 00:15:52.850 Brian Pei: Oh, yeah.

234 00:15:52.850 00:15:53.430 Uttam Kumaran: I’m just.

235 00:15:53.430 00:15:59.369 Brian Pei: Okay, yeah. So it’s gonna be iterative. They they didn’t give us a blueprint. So I I need to give them something so that

236 00:15:59.470 00:16:00.899 Brian Pei: he can be like.

237 00:16:01.010 00:16:03.990 Brian Pei: Add this column, remove this column. Blah blah. So anyway.

238 00:16:03.990 00:16:04.660 Uttam Kumaran: Perfect.

239 00:16:05.530 00:16:19.550 Nicolas Sucari: Yeah, once we have any any table or that kind of stuff we’re gonna be sharing with the man, and he will give us some feedback, and we can keep that iterative process. As Brian said. I think that’s the only thing we have for now, because they don’t give us like any

240 00:16:19.830 00:16:23.269 Nicolas Sucari: table they were looking for directly or anything like that. So yep.

241 00:16:23.990 00:16:25.279 Uttam Kumaran: Okay. Okay. Cool.

242 00:16:26.920 00:16:28.250 Nicolas Sucari: Excellent. Okay.

243 00:16:28.330 00:16:29.560 Nicolas Sucari: thanks. Brian.

244 00:16:29.710 00:16:30.579 Brian Pei: Coffee, time.

245 00:16:30.580 00:16:31.010 Uttam Kumaran: Ss.

246 00:16:31.050 00:16:31.616 Brian Pei: Thanks guys.

247 00:16:32.240 00:16:33.260 Nicolas Sucari: Bye-bye.

248 00:16:33.260 00:16:34.140 Brian Pei: See you guys soon.

249 00:16:34.140 00:16:35.090 Uttam Kumaran: Bye.