Meeting Title: Analysis-Planning-Session Date: 2024-07-29 Meeting participants: Nicolas Sucari, Bryce Codell, Jakob Kagel, Uttam


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1 00:00:45.740 00:00:46.540 You.

2 00:00:46.540 00:00:47.340 Nicolas Sucari: He’s all.

3 00:00:49.920 00:00:50.989 Jakob Kagel: Hey? How’s it going.

4 00:00:52.730 00:00:53.930 Nicolas Sucari: Oh, good!

5 00:01:01.910 00:01:06.290 Jakob Kagel: Oh, so yeah, let me share my screen. It says, Cool

6 00:01:07.209 00:01:11.400 Jakob Kagel: or should we do we wanna wait for? Is it I’m gonna join, or something.

7 00:01:12.170 00:01:12.800 Jakob Kagel: He.

8 00:01:12.800 00:01:14.659 Nicolas Sucari: Yeah, I think he was gonna join.

9 00:01:15.030 00:01:15.989 Jakob Kagel: Oh, okay.

10 00:01:16.350 00:01:16.980 Jakob Kagel: Cool.

11 00:01:16.980 00:01:18.110 Nicolas Sucari: Bad. L,

12 00:01:18.160 00:01:21.959 Nicolas Sucari: yeah. What I was saying is that you’re you’re looking at the

13 00:01:22.270 00:01:26.889 Nicolas Sucari: at the queries. But you you should be looking at the sources, because that’s that query

14 00:01:26.960 00:01:28.790 Nicolas Sucari: comes from another file.

15 00:01:29.000 00:01:34.330 Jakob Kagel: Right. But in the sources it’s still like this is what which one were we looking at again? It’s like refund by.

16 00:01:34.330 00:01:35.379 Nicolas Sucari: Yeah, that one

17 00:01:35.440 00:01:37.099 Nicolas Sucari: refund by state. Yeah.

18 00:01:37.440 00:01:39.769 Jakob Kagel: Right. But this is the actual table

19 00:01:40.010 00:01:43.380 Jakob Kagel: like this isn’t what you had like analytics, something.

20 00:01:43.680 00:01:44.300 Jakob Kagel: Yeah.

21 00:01:44.625 00:01:44.950 Nicolas Sucari: Check!

22 00:01:45.110 00:01:46.109 Jakob Kagel: I don’t know.

23 00:01:46.730 00:01:49.079 Nicolas Sucari: Hey? It’s a it’s a analytics. I know why.

24 00:01:49.500 00:01:56.950 Nicolas Sucari: No, okay, I know. Let me see. So the refund by state that one

25 00:01:57.940 00:01:59.120 Nicolas Sucari: that.

26 00:02:01.330 00:02:01.920 Bryce Codell: What’s up? Guys?

27 00:02:01.920 00:02:02.730 Nicolas Sucari: I know.

28 00:02:02.730 00:02:03.420 Jakob Kagel: Hey! How are you?

29 00:02:03.789 00:02:04.160 Nicolas Sucari: Bryce.

30 00:02:05.030 00:02:05.460 Jakob Kagel: Sorry.

31 00:02:05.460 00:02:06.899 Bryce Codell: Hey? I’m doing alright.

32 00:02:06.900 00:02:08.150 Jakob Kagel: I mean real quick.

33 00:02:08.800 00:02:12.184 Bryce Codell: No worries, Jacob. I don’t think we’ve met yet, but it’s nice to meet you.

34 00:02:12.600 00:02:15.220 Jakob Kagel: Great to meet you. Great to meet you. Where are you? Based out of.

35 00:02:15.800 00:02:17.540 Bryce Codell: I’m in Brooklyn right now. What about you.

36 00:02:17.540 00:02:20.299 Jakob Kagel: Cool. I’m in Austin, Texas.

37 00:02:22.060 00:02:22.950 Bryce Codell: Nice.

38 00:02:23.560 00:02:24.453 Jakob Kagel: Yeah, yeah.

39 00:02:25.290 00:02:30.400 Nicolas Sucari: I don’t know what happened, Jacob, but I’m seeing it like analytics.

40 00:02:30.410 00:02:32.240 Nicolas Sucari: It doesn’t say for me.

41 00:02:32.630 00:02:33.269 Jakob Kagel: Share your.

42 00:02:34.153 00:02:35.036 Nicolas Sucari: Activity.

43 00:02:36.575 00:02:37.099 Nicolas Sucari: amazing.

44 00:02:37.100 00:02:38.609 Jakob Kagel: What you’re looking at. Yeah.

45 00:02:38.970 00:02:40.050 Nicolas Sucari: Has

46 00:02:40.120 00:02:41.850 Nicolas Sucari: super weird. But yeah.

47 00:02:41.850 00:02:42.250 Jakob Kagel: You know.

48 00:02:42.250 00:02:42.880 Nicolas Sucari: A.

49 00:02:43.211 00:02:47.850 Jakob Kagel: It’s like the juice is not worth the squeeze here. It’s like, it’s really

50 00:02:49.490 00:02:50.210 Jakob Kagel: just.

51 00:02:50.210 00:02:50.960 Nicolas Sucari: Luke.

52 00:02:51.090 00:02:52.090 Nicolas Sucari: The sea.

53 00:02:53.980 00:02:58.120 Nicolas Sucari: like it, says, analytics, I am on sources. Snowflake.

54 00:02:59.990 00:03:01.960 Jakob Kagel: That’s very strange.

55 00:03:02.400 00:03:05.609 Nicolas Sucari: And I I don’t have any change like I just

56 00:03:06.736 00:03:07.129 Jakob Kagel: You replace.

57 00:03:07.130 00:03:07.789 Nicolas Sucari: Today again.

58 00:03:08.165 00:03:13.420 Jakob Kagel: Hit the refresh button at the bottom like by where it says main right.

59 00:03:14.010 00:03:20.070 Nicolas Sucari: Oh, yeah, yeah, but I I am using it. Have desktop and don’t have any change, and I clone.

60 00:03:21.250 00:03:25.428 Bryce Codell: Could this be related to the renaming of all the schemas from like.

61 00:03:25.750 00:03:26.380 Nicolas Sucari: Think yes.

62 00:03:26.380 00:03:28.210 Bryce Codell: Smart, to to just smart.

63 00:03:29.170 00:03:31.430 Nicolas Sucari: I don’t know if that one is.

64 00:03:31.950 00:03:40.660 Nicolas Sucari: but probably probably it has something to do with that one, because I’m seeing that some of the stuff is under. Dbt. Underscore Mart.

65 00:03:41.144 00:03:44.600 Nicolas Sucari: Here, like all of the sources are from there.

66 00:03:45.460 00:03:51.409 Nicolas Sucari: you see. But I’m seeing all of them that says analytics like they. They are in an analytics table.

67 00:03:53.075 00:03:57.214 Jakob Kagel: So is this like, did you just click on the repo? Is this like.

68 00:03:57.670 00:03:58.360 Jakob Kagel: I mean.

69 00:03:58.360 00:04:01.119 Nicolas Sucari: Let’s go to see. Let’s go to see the code. If you want.

70 00:04:01.490 00:04:02.190 Jakob Kagel: No, no, I mean.

71 00:04:02.640 00:04:03.089 Nicolas Sucari: Scott!

72 00:04:03.090 00:04:04.841 Jakob Kagel: Trying to think like,

73 00:04:07.300 00:04:11.443 Jakob Kagel: I I mean, I’m trying to think like, how do we fix it? Basically

74 00:04:12.700 00:04:16.130 Jakob Kagel: because mine should be up to date, too. I mean, like.

75 00:04:17.140 00:04:17.940 Nicolas Sucari: Yeah.

76 00:04:19.860 00:04:20.260 Jakob Kagel: I mean.

77 00:04:20.269 00:04:21.209 Nicolas Sucari: Check, like.

78 00:04:21.490 00:04:22.550 Jakob Kagel: Yeah, and wait.

79 00:04:23.330 00:04:26.380 Nicolas Sucari: Sources. Snowflake refund by state.

80 00:04:26.700 00:04:29.939 Nicolas Sucari: Yeah, it says analytics on the code. I don’t know what happened.

81 00:04:29.940 00:04:30.810 Jakob Kagel: Hit hub.

82 00:04:31.670 00:04:36.280 Nicolas Sucari: Yeah, okay, let let me share. How can I change my

83 00:04:39.060 00:04:40.059 Nicolas Sucari: I mean, join.

84 00:04:40.060 00:04:45.559 Jakob Kagel: Like. Do I need to like? Reclone the repo then, and like change all of them, or like.

85 00:04:46.910 00:04:48.010 Nicolas Sucari: I don’t know.

86 00:04:49.020 00:04:49.950 Jakob Kagel: Yeah, me, neither.

87 00:04:52.250 00:04:54.139 Nicolas Sucari: But you see, like this is what we were.

88 00:04:54.140 00:04:55.020 Jakob Kagel: Just seeing.

89 00:04:55.860 00:05:00.401 Nicolas Sucari: And it says, analytics here, Bryce, do you know if these like

90 00:05:01.190 00:05:02.780 Nicolas Sucari: probably change

91 00:05:02.820 00:05:05.910 Nicolas Sucari: when once when we change kind of that

92 00:05:06.430 00:05:07.839 Nicolas Sucari: file and stuff.

93 00:05:08.350 00:05:10.100 Nicolas Sucari: I don’t know that folder.

94 00:05:11.210 00:05:15.299 Nicolas Sucari: I’m i i really don’t have an idea of what

95 00:05:16.590 00:05:27.850 Nicolas Sucari: what happened here, but what I see from the error that you showed me. Jacob is like the file that is doesn’t exist, because when I go to check these on Snowflake.

96 00:05:28.160 00:05:28.490 Jakob Kagel: Yeah.

97 00:05:28.490 00:05:30.079 Nicolas Sucari: To snowflake. Here it.

98 00:05:30.080 00:05:30.840 Jakob Kagel: Yeah nice. Piece.

99 00:05:30.840 00:05:31.190 Nicolas Sucari: We do?

100 00:05:31.596 00:05:42.570 Jakob Kagel: Yeah, of course it doesn’t exist. I get that so here, let me share my screen real quick again. So how can I ensure. I mean.

101 00:05:43.110 00:05:47.250 Jakob Kagel: mine should be up to date right. Can you see my screen?

102 00:05:49.130 00:05:49.790 Jakob Kagel: Hmm.

103 00:05:51.190 00:05:51.930 Jakob Kagel: Yep.

104 00:05:52.210 00:05:54.399 Jakob Kagel: so like if I go here right

105 00:05:55.630 00:06:01.069 Jakob Kagel: like everything like like, why are mine not up to date? Do I need to like

106 00:06:02.220 00:06:04.629 Jakob Kagel: repool the repo, or something.

107 00:06:06.170 00:06:08.330 Nicolas Sucari: Can you do? You have github desktop

108 00:06:08.880 00:06:10.620 Nicolas Sucari: because you have to change this year.

109 00:06:11.850 00:06:13.759 Jakob Kagel: Right? Right? Yeah, exactly.

110 00:06:15.300 00:06:16.870 Jakob Kagel: But this was just the ones. Yeah.

111 00:06:16.870 00:06:18.000 Nicolas Sucari: Oh, yeah, okay.

112 00:06:18.600 00:06:19.880 Nicolas Sucari: yeah. I don’t know.

113 00:06:21.020 00:06:22.050 Nicolas Sucari: I’m not sure.

114 00:06:22.510 00:06:23.360 Jakob Kagel: Okay.

115 00:06:24.270 00:06:26.679 Jakob Kagel: alright. Well, we gotta get somebody.

116 00:06:26.760 00:06:29.168 Jakob Kagel: They can figure this out.

117 00:06:30.090 00:06:32.525 Uttam: Hey, guys, just John? Sorry. Just in a

118 00:06:33.110 00:06:33.900 Uttam: in person, I mean.

119 00:06:33.900 00:06:34.550 Nicolas Sucari: Some.

120 00:06:34.970 00:06:35.550 Uttam: 8.

121 00:06:35.730 00:06:36.839 Jakob Kagel: Hey! How are you?

122 00:06:37.490 00:06:38.320 Uttam: Bad.

123 00:06:40.530 00:06:44.187 Jakob Kagel: basically a little, a little bit of trouble in Paradise here.

124 00:06:45.400 00:06:49.220 Jakob Kagel: so like, I don’t know the github, like.

125 00:06:50.260 00:07:02.540 Jakob Kagel: basically like the repo is showing. Like all of the I don’t know. Nico is. Maybe there. You share your screen actually 1st here and show kind of the repo cause, like

126 00:07:02.980 00:07:09.809 Jakob Kagel: the thing is, too, is like the the way that it is in the repo. Now, I don’t think that is right. Like.

127 00:07:11.770 00:07:12.680 Nicolas Sucari: The analytics.

128 00:07:12.680 00:07:27.880 Jakob Kagel: Instead of dbt like instead of it saying, dbt, like dot dbt. Mark like select from Dbt. Dot, dbt. Mart dot shopify orders, or whatever it’s saying, like analytics in all of them. And we’re like, kind of confused like, how this change happened.

129 00:07:28.420 00:07:29.731 Uttam: We made the change.

130 00:07:30.620 00:07:34.170 Uttam: Nika, we were working on all the role-based access control and snowflake stuff.

131 00:07:34.380 00:07:35.409 Uttam: So everything.

132 00:07:35.410 00:07:36.080 Nicolas Sucari: Okay.

133 00:07:36.080 00:07:36.830 Uttam: Webex.

134 00:07:39.420 00:07:40.100 Uttam: so.

135 00:07:40.100 00:07:42.200 Nicolas Sucari: Okay, so that’s that’s the issue. Probably.

136 00:07:42.650 00:07:43.990 Nicolas Sucari: Yeah, I got sure.

137 00:07:44.520 00:07:47.220 Uttam: No, those are all the changes we made on

138 00:07:48.080 00:07:49.760 Uttam: last Thursday, Friday.

139 00:07:49.820 00:07:52.629 Uttam: Jacob, where we like, cleaned up a bunch of stuff and

140 00:07:52.650 00:07:59.480 Uttam: made role-based access control. So there’s gonna be some small hiccups. Everything should be coming from analytics now.

141 00:07:59.945 00:08:03.870 Uttam: But if it’s not again, that should be something like Patrick, can probably take care of.

142 00:08:04.580 00:08:08.180 Jakob Kagel: So that’s like, there’s an actual analytic schema. Now, okay, I see that. Okay.

143 00:08:08.180 00:08:09.890 Uttam: It’s an analytics, database.

144 00:08:09.890 00:08:10.850 Jakob Kagel: I see that. Okay.

145 00:08:11.375 00:08:11.660 Nicolas Sucari: Here.

146 00:08:12.000 00:08:13.270 Nicolas Sucari: or we send the attendees.

147 00:08:13.270 00:08:17.149 Uttam: Or yeah, whatever it was coming from previously. You can just select.

148 00:08:17.770 00:08:21.520 Uttam: you can just select the database. It shouldn’t. The schema should not have changed.

149 00:08:22.500 00:08:23.600 Jakob Kagel: Okay, that’s some.

150 00:08:23.600 00:08:24.770 Nicolas Sucari: Something. Something

151 00:08:24.930 00:08:40.460 Nicolas Sucari: has changed because we were using on this code. Here, for example, these all orders source as a sequel file. And when I went to change, to check. If these all order schema was there. It like, it’s not here on analytics.

152 00:08:41.640 00:08:43.860 Uttam: So it’s not all order, schema. That’s the table.

153 00:08:44.740 00:08:47.509 Nicolas Sucari: Okay, okay. The table doesn’t exist here.

154 00:08:48.100 00:08:50.849 Uttam: It’s not under Dbt. Mart, or Mart, or anything.

155 00:08:51.470 00:08:53.330 Bryce Codell: Try querying. Just march.

156 00:08:54.620 00:08:55.710 Nicolas Sucari: You see I.

157 00:08:55.710 00:08:56.720 Uttam: Or go on, go on.

158 00:08:56.720 00:08:57.140 Nicolas Sucari: Say right.

159 00:08:57.140 00:08:58.280 Uttam: Go under, mart.

160 00:08:59.410 00:09:01.849 Jakob Kagel: Oh, yeah, so it isn’t on there.

161 00:09:02.260 00:09:04.209 Nicolas Sucari: No, it’s not here too.

162 00:09:07.390 00:09:09.720 Bryce Codell: What’s the role? What’s the role that you’re using.

163 00:09:12.140 00:09:13.120 Bryce Codell: And Dbt role.

164 00:09:13.120 00:09:14.859 Nicolas Sucari: Dbt, yeah. Dbt, role.

165 00:09:16.490 00:09:17.104 Nicolas Sucari: I was there.

166 00:09:17.310 00:09:17.630 Bryce Codell: You have.

167 00:09:17.877 00:09:20.850 Uttam: Scroll down on this? Can you scroll down to schemas real quick?

168 00:09:24.840 00:09:26.310 Uttam: Can you look under staging.

169 00:09:27.410 00:09:28.620 Nicolas Sucari: Understanding, okay.

170 00:09:30.480 00:09:31.210 Nicolas Sucari: no.

171 00:09:32.950 00:09:36.269 Uttam: If you search for all orders at the top, you see there’s a search bar.

172 00:09:36.300 00:09:37.760 Uttam: You see anything? Come up.

173 00:09:46.210 00:09:48.300 Uttam: Nothing comes up under analytics.

174 00:09:49.340 00:09:50.930 Nicolas Sucari: Under analytics.

175 00:09:51.270 00:09:53.020 Jakob Kagel: And look here, yeah.

176 00:09:53.620 00:09:54.490 Nicolas Sucari: Yeah. Nope.

177 00:09:56.790 00:10:00.979 Nicolas Sucari: it’s under under. Dbt, okay, I can see it here under Mart.

178 00:10:01.630 00:10:02.590 Nicolas Sucari: But where.

179 00:10:02.590 00:10:05.399 Uttam: But this is the so like the Dbt.

180 00:10:08.560 00:10:09.419 Uttam: okay, I mean.

181 00:10:09.420 00:10:10.229 Nicolas Sucari: Yeah, it’s it.

182 00:10:10.960 00:10:15.119 Uttam: I could take a look. I’ll be home in a sec. But yeah, it’s probably something to do with our change.

183 00:10:15.990 00:10:16.295 Nicolas Sucari: Okay.

184 00:10:17.030 00:10:19.290 Nicolas Sucari: yeah, it’s not under analytics. Okay.

185 00:10:19.890 00:10:22.249 Nicolas Sucari: so what we need to figure out is

186 00:10:22.370 00:10:27.300 Nicolas Sucari: that all of the sources that we have here on the code for the

187 00:10:27.410 00:10:28.470 Nicolas Sucari: evidence

188 00:10:28.660 00:10:32.440 Nicolas Sucari: pages like we, we have them there on us analytics.

189 00:10:33.040 00:10:39.800 Nicolas Sucari: because probably all I think the one that is messing with everything is all order items and all orders.

190 00:10:40.150 00:10:44.330 Nicolas Sucari: Those are the ones that are like, yeah, everywhere.

191 00:10:44.560 00:10:46.759 Jakob Kagel: Using probably basically everything.

192 00:10:47.310 00:10:47.880 Nicolas Sucari: Yeah.

193 00:10:48.190 00:10:49.260 Jakob Kagel: And yeah.

194 00:10:50.330 00:10:55.829 Uttam: Okay, yeah, I guess, Bryce, I don’t know. Well, I guess maybe we could talk and just figure out, cause

195 00:10:55.980 00:10:59.419 Uttam: I just want to make sure everything ends up in the analytics.

196 00:10:59.440 00:11:00.459 Uttam: and then we can also.

197 00:11:00.460 00:11:00.780 Bryce Codell: So.

198 00:11:01.088 00:11:02.630 Uttam: Schemas and then basically drop

199 00:11:03.450 00:11:07.460 Uttam: like we probably just need to drop some old databases. I just didn’t do it on Friday.

200 00:11:07.460 00:11:08.170 Jakob Kagel: Main. I’m sorry.

201 00:11:08.170 00:11:08.490 Bryce Codell: So.

202 00:11:08.490 00:11:08.830 Jakob Kagel: Period.

203 00:11:08.830 00:11:19.149 Bryce Codell: I have access to analytics dot mart dot all orders from my user account. And like in the snowflake ui. So I’m not really.

204 00:11:19.150 00:11:19.540 Uttam: Like hey.

205 00:11:19.540 00:11:24.352 Bryce Codell: Might be a user level access issue. Given that I can access it. And

206 00:11:25.040 00:11:27.200 Uttam: Can you switch to service user?

207 00:11:27.370 00:11:32.109 Uttam: Is there is there a role called role transform? Can you switch to that and see if you see it.

208 00:11:32.320 00:11:32.910 Jakob Kagel: Yeah.

209 00:11:34.220 00:11:37.319 Uttam: And then we’ll also go and drop old roles. Basically, because

210 00:11:37.800 00:11:39.949 Uttam: that role that you’re using is stale

211 00:11:40.050 00:11:41.550 Uttam: as of Thursday.

212 00:11:42.660 00:11:43.140 Nicolas Sucari: You’re welcome.

213 00:11:43.140 00:11:44.230 Bryce Codell: Refresh button.

214 00:11:44.630 00:11:48.700 Bryce Codell: You see the in this next to the search bar up at the top, there’s a refresh

215 00:11:48.880 00:11:49.710 Bryce Codell: or yeah.

216 00:11:52.680 00:11:55.419 Nicolas Sucari: Under analytics, smart tables.

217 00:11:55.930 00:11:56.640 Nicolas Sucari: Nope.

218 00:11:56.860 00:11:58.840 Nicolas Sucari: road transform doesn’t have it yet.

219 00:12:00.210 00:12:02.200 Nicolas Sucari: What what role are you using? Bryce.

220 00:12:03.520 00:12:06.709 Bryce Codell: I was in Dbt. Will, which is very confusing

221 00:12:06.960 00:12:08.720 Bryce Codell: cause that’s what you were in as well.

222 00:12:09.300 00:12:17.890 Jakob Kagel: So just curious like, why did we like? Why did we wanna mute move it to analytics instead of just keeping it in? Dbt.

223 00:12:20.729 00:12:26.880 Uttam: So there’s a couple of reasons. One, we basically have like 5 versions of everything. And it was like really fucking, confusing.

224 00:12:26.980 00:12:28.160 Uttam: So

225 00:12:28.230 00:12:34.849 Uttam: we just needed to clean up. Second thing is we needed to create roles for each of the service accounts and for

226 00:12:35.260 00:12:42.989 Uttam: everybody here, basically. And like, we have like a role based access control. It’s just it was just a clean up thing we had to do for security.

227 00:12:43.498 00:12:47.000 Uttam: So there’s gonna be some hiccups like this. I I wasn’t.

228 00:12:47.070 00:12:48.120 Uttam: I was just basically.

229 00:12:48.120 00:12:48.899 Jakob Kagel: Think it’s either what.

230 00:12:48.900 00:12:49.890 Uttam: Was breaking

231 00:12:50.720 00:12:51.880 Uttam: again. It’s

232 00:12:51.890 00:12:57.220 Uttam: it’s probably something that’ll take like 30 min to figure out. This isn’t like a huge thing. Just need to go find it.

233 00:12:57.400 00:13:06.869 Jakob Kagel: Okay? So another question, I have real quick. Sorry. This is related to evidence. But, like basically, me and Nico are trying to work through some of these bugs like earlier today. So

234 00:13:07.770 00:13:13.609 Jakob Kagel: basically with now, like the updated y’all made like with the connection file, it’s like.

235 00:13:13.730 00:13:21.329 Jakob Kagel: every time, if I want to test something locally, I need to put in my credentials. But then, but when I like, commit the changes.

236 00:13:21.550 00:13:26.370 Jakob Kagel: I basically need to revert it back to this like template. Is that right? Am I understanding that correct.

237 00:13:26.370 00:13:29.620 Uttam: No, you, you just need to use an environment file

238 00:13:29.840 00:13:30.900 Uttam: locally.

239 00:13:31.130 00:13:31.650 Uttam: Why.

240 00:13:31.650 00:13:32.120 Jakob Kagel: You know how we.

241 00:13:32.120 00:13:36.460 Uttam: We we’ve used like dot Ed files. You guys talked to Patrick yet today about this.

242 00:13:37.430 00:13:37.950 Jakob Kagel: Alright. Yeah.

243 00:13:37.950 00:13:39.730 Nicolas Sucari: Thinking that. Yeah.

244 00:13:39.730 00:13:42.180 Uttam: Okay. I mean, I would like, yeah, I wouldn’t.

245 00:13:42.400 00:13:46.529 Uttam: I would just call Patrick about all this, because he he knows exactly what I know about this. But

246 00:13:46.560 00:13:51.539 Uttam: yeah, you, we just need to set up environment files just like you have for Dbt.

247 00:13:51.590 00:14:04.809 Uttam: where you have like something dot, env. Basically, you’ll have your credentials in a dot env file, basically similar to how we have real, or you have a real dot env file. You’ll just have a local environment file with your credentials.

248 00:14:05.030 00:14:09.920 Uttam: The nice thing is using. Get ignore. That file doesn’t end up getting committed.

249 00:14:10.649 00:14:14.539 Uttam: And then you won’t need to make any changes to the template file.

250 00:14:16.220 00:14:16.740 Jakob Kagel: Okay.

251 00:14:16.740 00:14:19.140 Uttam: Again. If that’s just all like word salad, I can.

252 00:14:19.810 00:14:20.250 Jakob Kagel: No, that.

253 00:14:20.250 00:14:21.370 Uttam: Yeah, about how to do it.

254 00:14:21.600 00:14:28.700 Jakob Kagel: No, that’s fine. I mean, we’ll definitely take the video. I was just gonna say, Nico, I mean, can we maybe set up a call with us 3 with me, you and Patrick.

255 00:14:28.700 00:14:29.560 Nicolas Sucari: Yeah, I am.

256 00:14:30.220 00:14:30.660 Jakob Kagel: That they will.

257 00:14:30.660 00:14:37.190 Uttam: Yeah, all this stuff we should just send right through Patrick, because this is like this. I mean again.

258 00:14:37.760 00:14:38.869 Jakob Kagel: Sorry you’re breaking something over.

259 00:14:38.870 00:14:40.380 Uttam: He knows exactly how to do this.

260 00:14:40.750 00:14:41.629 Jakob Kagel: Okay, yeah, like.

261 00:14:41.630 00:14:42.480 Nicolas Sucari: And yeah.

262 00:14:42.480 00:14:44.690 Uttam: I said, Yeah, I said, Go ahead and do that. Yeah.

263 00:14:45.230 00:14:45.650 Jakob Kagel: Cool.

264 00:14:45.650 00:14:46.810 Nicolas Sucari: Perfect. Yeah. Yes.

265 00:14:46.810 00:14:49.389 Jakob Kagel: Yeah, nico, yeah, that sounds good. Yeah.

266 00:14:49.500 00:14:50.220 Jakob Kagel: Okay.

267 00:14:50.640 00:14:51.440 Jakob Kagel: Okay.

268 00:14:51.620 00:15:00.080 Uttam: Yeah, these are so. Yeah, the only thing again, on anything connection, wise or like these sorts of github issues. I don’t want to spin wheels on like

269 00:15:00.100 00:15:03.819 Uttam: again. These are, it’s gonna be new concepts, everybody. And it may seem like

270 00:15:03.880 00:15:09.020 Uttam: these are like massive issues, but these they all take like 30 min or an hour to just like get through.

271 00:15:09.160 00:15:12.389 Uttam: Anything on the Dd side needs to run through Patrick.

272 00:15:12.420 00:15:14.510 Uttam: So let’s just run it through him

273 00:15:16.120 00:15:20.689 Uttam: and like he he is, gonna have the procedure of like how to fix all these so

274 00:15:20.820 00:15:21.500 Uttam: flower.

275 00:15:21.500 00:15:30.660 Jakob Kagel: Okay? Great? Well, yeah, I’m I’m with that. Let’s yeah. Cause yeah, I don’t wanna spend time on it. So let’s meet with him and.

276 00:15:30.660 00:15:31.270 Uttam: Yeah.

277 00:15:31.980 00:15:33.329 Jakob Kagel: Get it figured out. Yeah.

278 00:15:34.260 00:15:35.010 Jakob Kagel: yep.

279 00:15:35.500 00:15:40.989 Nicolas Sucari: Perfect. Yeah, we’re just trying to understand what was the error we seen that that

280 00:15:41.260 00:15:46.310 Nicolas Sucari: table wasn’t there. And probably yeah, we need to understand that of the M file.

281 00:15:46.320 00:15:58.910 Nicolas Sucari: so that we can have everything running for everyone, because actually was like getting the same stuff, the same error last week. So probably we should get all of us on a call with Patrick and figure that out for everyone. Okay.

282 00:15:59.790 00:16:01.170 Jakob Kagel: Sounds good. Yeah, like I said, I mean.

283 00:16:01.170 00:16:04.150 Uttam: Yeah, I, I just like, we’ve been having github issues.

284 00:16:05.760 00:16:09.500 Uttam: Yeah, we just been having Github issues related to this. And every time I

285 00:16:09.830 00:16:10.890 Uttam: just need to meet with

286 00:16:10.950 00:16:12.140 Uttam: like. And again.

287 00:16:12.670 00:16:24.079 Uttam: my availability is is kind of fucked, so everything on the de side it relates to the structure of the warehouse or accessing, or these types of problems. Right? Patrick.

288 00:16:24.220 00:16:26.550 Uttam: he’s really smart going

289 00:16:26.560 00:16:28.179 Uttam: all this? Yeah, easily.

290 00:16:29.680 00:16:30.730 Nicolas Sucari: Course, right?

291 00:16:31.330 00:16:36.220 Nicolas Sucari: Perfect. Okay, so that was that. Let’s move into our

292 00:16:36.770 00:16:44.320 Nicolas Sucari: high priority stuff that we need to be working on this week and see if we can get them done by the end of the week.

293 00:16:44.699 00:16:51.620 Nicolas Sucari: We need to set up the evidence page. I know that. Obviously, these issues were getting in the middle of stuff.

294 00:16:51.690 00:17:03.889 Nicolas Sucari: But I don’t know, you guys. If you Brice, were working on the weather stuff on already started creating the evidence stuff. And I know, Jacob, you were trying to work on the pro versus consumer right.

295 00:17:04.410 00:17:20.709 Jakob Kagel: Yeah, I mean, obviously, yeah, this is just like a blocker, because I can’t see anything, basically that I’m working. But I mean, if we can get this resolved, I think I can turn around really pretty quick. I mean, I have all the ideas of you know, and everything basically written. That’s like.

296 00:17:21.160 00:17:21.990 Jakob Kagel: you know

297 00:17:22.180 00:17:28.090 Jakob Kagel: what we need. So yeah, I think I can turn around pretty quick as long as it’s like we can get it working. You know.

298 00:17:28.860 00:17:33.009 Nicolas Sucari: Perfect and the center of gravity. One. We said that we just

299 00:17:33.190 00:17:42.520 Nicolas Sucari: copy what we have their notion, and paste it into one of these pages, and that will be ready. So I think once we unblock these stuff from evidence, we can get them both ready.

300 00:17:43.450 00:17:44.939 Jakob Kagel: Yeah, I agree.

301 00:17:45.770 00:17:51.300 Nicolas Sucari: Perfect. Yep, Bryce. Anything on the weather stuff you’ve been working on.

302 00:17:52.310 00:17:54.270 Bryce Codell: Yeah. So

303 00:17:55.079 00:17:58.370 Bryce Codell: Utam, or Patrick, some of you set me up with

304 00:17:58.920 00:18:03.000 Bryce Codell: So set up access to weather data from

305 00:18:03.436 00:18:13.213 Bryce Codell: sorry series getting in my way set up access in Snowflake to a data share that contains a whole bunch of historical weather data.

306 00:18:14.171 00:18:16.889 Bryce Codell: And so I’ve been playing around with that this weekend

307 00:18:17.110 00:18:23.309 Bryce Codell: to try to figure out how much coverage that data provides us to be able to do

308 00:18:23.410 00:18:33.619 Bryce Codell: a bit of like a time series analysis around like weather trends and order and and pull parts order data. And basically, what I saw is that

309 00:18:33.690 00:18:36.400 Bryce Codell: about 70 to 75% of

310 00:18:36.430 00:18:39.480 Bryce Codell: orders. And when we map. So when we map

311 00:18:40.150 00:18:47.379 Bryce Codell: order data to weather data using like zip code and time and like order, timestamp, or like weather timestamp.

312 00:18:47.900 00:18:49.340 Bryce Codell: we have like.

313 00:18:49.610 00:18:53.829 Bryce Codell: look like we have the data that we want, which is basically like

314 00:18:53.900 00:19:04.675 Bryce Codell: weather records, like for a few days before and a few days after each order for about 70 ish percent like of our 160 K order records.

315 00:19:05.416 00:19:17.510 Bryce Codell: There’s some things I can do to increase that coverage, but that should give us a big enough sample size to be able to move forward and do some actual analysis, like figuring out things like.

316 00:19:17.670 00:19:19.140 Bryce Codell: what are the like?

317 00:19:19.740 00:19:20.890 Bryce Codell: Like? What

318 00:19:21.020 00:19:28.809 Bryce Codell: products see increased demand with different types of weather, like rain and snow, and like temperature increases and things like that

319 00:19:30.200 00:19:31.510 Bryce Codell: and

320 00:19:31.580 00:19:39.799 Bryce Codell: like being able to then use those types of insights to get recommendations to like build visualizations and corresponding recommendations to the pool party.

321 00:19:39.800 00:19:40.220 Uttam: Bryce.

322 00:19:40.220 00:19:41.770 Bryce Codell: Around, like, yeah.

323 00:19:42.440 00:19:44.270 Uttam: Is the is the

324 00:19:44.340 00:19:46.359 Uttam: the lack and overlap is that

325 00:19:46.760 00:19:49.559 Uttam: is, that like geographically concentrated

326 00:19:50.130 00:19:53.070 Uttam: or like, where is that coming from?

327 00:19:54.905 00:19:55.670 Bryce Codell: So

328 00:19:55.950 00:20:06.750 Bryce Codell: I have not dug into the specifics around. What like? Why, those records are missing. My, yeah, my hunch is that

329 00:20:06.800 00:20:10.400 Bryce Codell: it like it probably has something to do with

330 00:20:10.840 00:20:17.579 Bryce Codell: like imperfect data quality in the weather data itself, just like missing certain zip codes or things like that.

331 00:20:17.590 00:20:19.209 Bryce Codell: And so, if that is the.

332 00:20:19.210 00:20:20.872 Uttam: To give it to you. Like,

333 00:20:23.100 00:20:33.469 Uttam: yeah, just to get to give you like a sense of like, probably a decision you could make there. If you find that that’s the case. Most of their sales are California, Texas, New York.

334 00:20:33.510 00:20:35.860 Uttam: Arizona, Florida.

335 00:20:36.590 00:20:37.100 Bryce Codell: It is.

336 00:20:37.100 00:20:42.760 Uttam: So those are going to be really the places that people care about additionally.

337 00:20:43.210 00:20:48.959 Uttam: just as like just thinking out loud, it’s probably gonna be the places where there are changes in weather.

338 00:20:49.070 00:20:50.000 Uttam: So like.

339 00:20:50.450 00:20:58.320 Uttam: you know, if there’s places where it’s just this kind of same weather, they don’t see really crazy weather patterns. It’s pro. So there’s probably some decisions you can make on

340 00:20:58.620 00:21:06.099 Uttam: getting that up. But again, the big things they’re gonna wanna see stuff on is in that in the northeast, in Florida.

341 00:21:06.390 00:21:10.739 Uttam: probably in Texas. But I would say Texas is more concerned with, like

342 00:21:10.860 00:21:14.029 Uttam: Houston in the coast, and then California

343 00:21:14.160 00:21:15.979 Uttam: so ideally that

344 00:21:16.630 00:21:19.899 Uttam: if you’re able to filter to that, maybe that gives more

345 00:21:20.050 00:21:25.319 Uttam: that just shortens a data set or or allows you to just focus on a few areas, because the rest of the country

346 00:21:25.390 00:21:28.689 Uttam: it’s it diminishes really quickly the impact on

347 00:21:29.500 00:21:35.610 Uttam: sales. So if it gives you something to start with and then we can expand to the other stuff later. That may be helpful.

348 00:21:37.438 00:21:41.759 Bryce Codell: yeah, I can, definitely, that’s really helpful. So hold on. Give me one second

349 00:21:43.280 00:21:44.070 Bryce Codell: just to make sure.

350 00:21:44.070 00:21:46.270 Uttam: All that, all that sales

351 00:21:47.140 00:21:55.200 Uttam: the the sales like. What’s I can? It’s in real. I can also make sure you have access to that. But yeah, it’s Florida.

352 00:21:55.320 00:21:57.990 Uttam: the northeast, like, you know, New York.

353 00:21:58.585 00:21:59.140 Uttam: Mainly.

354 00:21:59.140 00:21:59.820 Bryce Codell: Yet.

355 00:21:59.820 00:22:00.560 Uttam: And then

356 00:22:01.060 00:22:01.790 Uttam: California.

357 00:22:01.790 00:22:02.279 Bryce Codell: Morning, like.

358 00:22:02.280 00:22:03.340 Uttam: This Arizona.

359 00:22:03.340 00:22:05.850 Bryce Codell: And like Houston, okay? And Arizona as well.

360 00:22:05.850 00:22:06.410 Uttam: Yeah.

361 00:22:07.950 00:22:08.720 Bryce Codell: Okay.

362 00:22:08.720 00:22:12.769 Uttam: Those will be like, probably like 70% of sales, if not more. I think.

363 00:22:13.550 00:22:17.970 Bryce Codell: Yeah. Okay, cool. I’ll do one more spot check to make sure that we have

364 00:22:18.210 00:22:21.230 Bryce Codell: solid coverage in those States in particular.

365 00:22:21.830 00:22:22.560 Uttam: Yeah.

366 00:22:23.140 00:22:23.860 Bryce Codell: Yabb.

367 00:22:23.860 00:22:31.850 Uttam: And whatever that number is, we can just note down cause it will put that in the analysis. But that doesn’t. We’re going for

368 00:22:31.960 00:22:36.286 Uttam: speed over like having everything buttoned up. So yeah, you know.

369 00:22:37.850 00:22:46.320 Bryce Codell: Yeah, totally yeah. Prioritize a compelling proof of concept over like a super polished solution. Yeah.

370 00:22:47.179 00:22:49.700 Bryce Codell: Cool. Yeah. That makes sense to me.

371 00:22:54.510 00:22:55.180 Nicolas Sucari: Okay.

372 00:22:56.930 00:23:02.720 Nicolas Sucari: I don’t. I? Okay, everything’s okay on that one. So I don’t. I don’t think we need to.

373 00:23:03.121 00:23:08.720 Nicolas Sucari: We will have that ready this week in evidence. What do you think, Bryce? It’s kind of like.

374 00:23:09.030 00:23:11.910 Nicolas Sucari: difficult to think. We’ll have that page set up. Okay.

375 00:23:13.090 00:23:22.339 Bryce Codell: Yeah. So let can we clarify like the like, the work that needs to be done in the handoff and like the handoff piece. So

376 00:23:22.970 00:23:41.520 Bryce Codell: does like what is actually being handed over to the client like at the end of the day on Friday? Is it expected to be like an evidence dashboard, or like or presentation? Or is it sufficient to produce a handful of like static screenshots and like, send them an email.

377 00:23:42.090 00:23:45.959 Uttam: The final state would be would be would be evidence.

378 00:23:46.110 00:23:57.540 Uttam: Because so they give you a sense of like where this is all going. They’re in some M and a activity right now. And so they’re prioritizing, like flashy stuff that looks like they’re really sophisticated on the data side.

379 00:23:58.500 00:23:59.320 Uttam: So

380 00:23:59.920 00:24:05.649 Uttam: like ideally, this ends up in evidence with some sort of dynamic

381 00:24:05.940 00:24:08.499 Uttam: charts, ideally a map

382 00:24:09.135 00:24:15.040 Uttam: and then basically like, let’s work back for backwards from there. And take that as a fixed out. But.

383 00:24:15.810 00:24:16.530 Bryce Codell: Okay?

384 00:24:18.980 00:24:20.620 Bryce Codell: okay, I

385 00:24:22.600 00:24:31.380 Bryce Codell: what like my biggest step free. And then so like, this is a you’re saying, by the end of the day Friday. Like that, content and evidence needs to exist.

386 00:24:32.190 00:24:38.920 Uttam: Yeah, but I would think of it. Less of like the evidence piece, of course, is is probably the piece that you’re most

387 00:24:39.100 00:24:42.549 Uttam: you’re most nervous about. I would think it more as like.

388 00:24:42.740 00:24:53.429 Uttam: think about the model output that you want, which is like whatever the data set is. And then, like, I’m happy, or we’re happy to work towards the evidence thing at the end.

389 00:24:53.630 00:24:59.489 Uttam: So basically like, it’s gonna be less about words on this one, more about like visualization.

390 00:24:59.630 00:25:01.880 Uttam: But that, again, is all hinged on

391 00:25:02.630 00:25:11.959 Uttam: the out. The the data set that you produce in terms of analysis being clean, and then evidence the evidence piece. We’ll just have to figure out when we get there.

392 00:25:12.200 00:25:17.659 Uttam: The data being clean on, like what you can run queries on to then answer these questions.

393 00:25:17.830 00:25:25.410 Uttam: I think that a great middle ground to drive towards and then getting things in an evidence, map and stuff, we’ll just have to.

394 00:25:25.620 00:25:28.366 Uttam: We’ll figure out as we figure that out.

395 00:25:29.370 00:25:32.960 Uttam: but I’m gonna sub in and help on that, too. So don’t worry.

396 00:25:33.820 00:25:35.849 Bryce Codell: Okay, okay, that sounds good.

397 00:25:36.703 00:25:38.210 Bryce Codell: Yeah. I’ll.

398 00:25:38.520 00:25:41.520 Uttam: That was my assumption. By the way, that’s that’s what I thought was like.

399 00:25:41.550 00:25:43.980 Uttam: Probably that’s probably the scariest part of this.

400 00:25:44.510 00:25:45.073 Bryce Codell: Yeah,

401 00:25:46.520 00:25:49.619 Bryce Codell: I don’t know if I would use the word scary.

402 00:25:49.930 00:25:50.576 Uttam: Scary.

403 00:25:51.870 00:25:54.169 Bryce Codell: I’m I’m very at a very age.

404 00:25:54.170 00:25:56.720 Uttam: I’m not saying you can’t figure it out. You know what I mean.

405 00:25:56.720 00:25:57.940 Bryce Codell: But no, that’s.

406 00:25:57.940 00:25:58.290 Uttam: That’s.

407 00:25:58.290 00:26:07.979 Bryce Codell: That’s the part that’s the part with the most uncertainty, for sure, because I’ve never used evidence before. So there’s actually going to be a learning curve. But yeah, but I can

408 00:26:07.990 00:26:10.210 Bryce Codell: do my best to

409 00:26:10.350 00:26:16.120 Bryce Codell: spike on getting like data output first, st and then we can figure it out from there.

410 00:26:16.170 00:26:17.629 Bryce Codell: The one thing I will

411 00:26:17.700 00:26:20.130 Bryce Codell: call out is, I

412 00:26:20.710 00:26:31.810 Bryce Codell: am moving this week so my, I have a shit ton of stuff. I gotta back up. I probably won’t be sleeping much, but I will try to out my game plan is to have

413 00:26:33.110 00:26:50.850 Bryce Codell: some like. Have the data output in place by like 1st thing Thursday morning, and then I’ll be. I won’t really have laptop great laptop access, because I’ll be driving all day Thursday, but I’ll be able to like reply to slack messages, email and stuff

414 00:26:51.273 00:26:57.226 Bryce Codell: on Thursday, and can like when I’m not the driver, I can jump on calls and talk through things.

415 00:26:59.390 00:27:04.169 Uttam: Cool. Yeah, I think ideally, by. Just let us know where what you’re feeling by

416 00:27:04.730 00:27:10.669 Uttam: like Thursday or Wednesday evening. That way, we have like a couple of day heads up. I think that’s the biggest thing

417 00:27:11.377 00:27:11.880 Bryce Codell: Yeah, I’ll just.

418 00:27:11.880 00:27:12.230 Uttam: And then.

419 00:27:12.230 00:27:19.329 Bryce Codell: I’ll be communicative, as like throughout like throughout the week as site. As I make incremental progress, so that everyone has a.

420 00:27:19.330 00:27:20.120 Uttam: So I’m like, yeah.

421 00:27:20.495 00:27:20.870 Bryce Codell: Name.

422 00:27:21.270 00:27:24.420 Uttam: Basically because we have, we have a lot of stuff going into evidence.

423 00:27:24.776 00:27:28.039 Uttam: That’s why we wanted to clear up all of the

424 00:27:28.210 00:27:33.710 Uttam: roles and things last week, because this will I’ll any technical time I have. This week is going to be spent

425 00:27:33.870 00:27:35.909 Uttam: on evidence stuff. So

426 00:27:36.240 00:27:40.299 Uttam: especially towards the latter end of the week I’ll have a little bit more time.

427 00:27:40.400 00:27:41.110 Uttam: and.

428 00:27:41.110 00:27:41.880 Bryce Codell: Yeah, like.

429 00:27:41.880 00:27:43.819 Uttam: Bus through these like smaller issues.

430 00:27:44.570 00:27:45.130 Bryce Codell: Yeah.

431 00:27:45.130 00:27:45.780 Uttam: So

432 00:27:46.050 00:27:49.200 Uttam: yeah, we can make it happen. And then their their meeting is on the 10.th

433 00:27:49.400 00:27:51.740 Uttam: This is like kind of a light deadline.

434 00:27:51.770 00:27:58.130 Uttam: and that way. It gives me some time to send it to Ben on Friday. He’s gonna have a bunch of like changes change this.

435 00:27:58.140 00:28:02.910 Uttam: We’ll get another version of them by the following Wednesday, and then we’ll be

436 00:28:03.180 00:28:07.770 Uttam: will be good. And then, Bryce, I’m also gonna talk to Ben a little bit about

437 00:28:07.820 00:28:11.339 Uttam: putting more resources on analysis. So this all goes into like

438 00:28:11.900 00:28:14.169 Uttam: that like pitch. Basically. So.

439 00:28:14.490 00:28:16.193 Bryce Codell: Yeah. Okay. Cool. Awesome.

440 00:28:18.100 00:28:40.020 Nicolas Sucari: Yeah. And even if we are not able to make it with evidence by the end of the week, having the all of the data output would be great. So probably you time we can share that with Ben to let us know what what he think about that, and see if we need to do any change before jumping into evidence. That will take a little bit of time. And yeah, having everything ready before that it should be, should be good.

441 00:28:40.490 00:28:47.660 Uttam: I mean, you guys know, as soon as it gets a visualization, there’s gonna be opinions. Until that point. It’s there’s not gonna be.

442 00:28:48.100 00:28:50.820 Uttam: They’re just not gonna really be able to digest.

443 00:28:51.000 00:28:53.470 Uttam: So ideally, we get to that point, and then

444 00:28:53.820 00:28:57.560 Uttam: we’ll spend the rest of time just like fetzing around in evidence.

445 00:28:57.750 00:29:04.119 Uttam: The nice thing is, evidence looks really good, and they’ve been really impressed with what we have so far, which is the only reason why I’m like

446 00:29:04.490 00:29:09.486 Uttam: a little bit adamant that we use it because the output looks really really nice.

447 00:29:09.980 00:29:16.640 Uttam: and in particular, like this is a little bit. There’s a like a vanity component to this project for this like deliverable. So

448 00:29:17.870 00:29:19.990 Uttam: I just wanna make sure that we can do that for them.

449 00:29:22.000 00:29:22.610 Nicolas Sucari: Okay?

450 00:29:23.500 00:29:28.599 Nicolas Sucari: Great but yeah, I’m gonna try to get Patrick to

451 00:29:28.710 00:29:33.880 Nicolas Sucari: help us with that issues that we’re having with the tables.

452 00:29:34.239 00:29:43.529 Nicolas Sucari: So let’s see if we can figure that out that we can get also what we already have in evidence working again. Because, as as for now is broken, I think.

453 00:29:45.232 00:29:47.769 Nicolas Sucari: then, yeah, probably, Jacob, we can.

454 00:29:47.890 00:29:56.040 Nicolas Sucari: checking again on Wednesday, Thursday to see any any progress, and we can work together on anything so that we can

455 00:29:56.110 00:30:00.769 Nicolas Sucari: start setting up that evidence page with pro and consumers and the center of gravity. One. Okay.

456 00:30:01.070 00:30:11.373 Jakob Kagel: Yeah, sounds good. I mean, yeah, I’m I’m ready. I mean, I’m like, I said me, I’ve pretty much have a good availability this afternoon, so if we can just jump on and get us sorted out

457 00:30:11.930 00:30:12.510 Nicolas Sucari: Perfect.

458 00:30:13.210 00:30:13.909 Jakob Kagel: For me.

459 00:30:15.324 00:30:19.970 Nicolas Sucari: Also, Utam actually wasn’t joining, because I think he started

460 00:30:20.020 00:30:22.150 Nicolas Sucari: these classes again.

461 00:30:23.970 00:30:34.159 Nicolas Sucari: yeah, I’m not sure. But yeah, probably I’m I’m gonna try to catch up with him tomorrow, I think to see how how he’s working on the

462 00:30:34.400 00:30:36.570 Nicolas Sucari: on the geographic stuff right.

463 00:30:36.570 00:30:37.710 Uttam: Okay. You’ll take it.

464 00:30:37.710 00:30:38.340 Nicolas Sucari: And that

465 00:30:38.910 00:30:39.980 Nicolas Sucari: cool, perfect

466 00:30:40.783 00:30:53.699 Nicolas Sucari: and I think that’s all that we have for this week, guys. It’s a lot, obviously. But yeah, if we can nail down the evidence stuff and we can start sharing that with pull parts. I think it would be great.

467 00:30:56.940 00:30:57.940 Nicolas Sucari: great thumbball.

468 00:30:58.590 00:30:59.420 Bryce Codell: Sounds good.

469 00:31:00.560 00:31:03.999 Nicolas Sucari: Excellent. Okay, so let’s talk soon. Guys.

470 00:31:04.520 00:31:05.520 Nicolas Sucari: Thank you.

471 00:31:05.520 00:31:06.330 Bryce Codell: Thanks. Everyone.

472 00:31:07.140 00:31:07.750 Nicolas Sucari: And bye

473 00:31:08.380 00:31:09.050 Nicolas Sucari: late.