Meeting Title: Data Service Standup Date: 2026-02-06 Meeting participants: Awaish Kumar, Mustafa Raja, Ashwini Sharma, Demilade Agboola, Elizah Joy, Uttam Kumaran
WEBVTT
1 00:00:34.490 ⇒ 00:00:35.390 Ashwini Sharma: Hello?
2 00:00:39.720 ⇒ 00:00:40.410 Mustafa Raja: Hey.
3 00:00:41.250 ⇒ 00:00:42.250 Awaish Kumar: How you doing?
4 00:00:43.450 ⇒ 00:00:44.940 Ashwini Sharma: Good, good. How are you?
5 00:00:45.280 ⇒ 00:00:48.530 Awaish Kumar: I’m good, great.
6 00:00:51.890 ⇒ 00:00:55.590 Awaish Kumar: Okay, we can start with the stand-up today.
7 00:00:56.590 ⇒ 00:01:01.549 Awaish Kumar: I think, let me show… Let me share my screen.
8 00:01:11.810 ⇒ 00:01:12.570 Awaish Kumar: Okay.
9 00:01:13.350 ⇒ 00:01:14.350 Awaish Kumar: Okay, yes.
10 00:01:16.120 ⇒ 00:01:18.120 Awaish Kumar: Starting with Magic Spoon.
11 00:01:19.330 ⇒ 00:01:24.230 Awaish Kumar: I think we were finalizing… Espresence thing.
12 00:01:24.870 ⇒ 00:01:27.960 Awaish Kumar: So, how we are doing Teminade?
13 00:01:32.680 ⇒ 00:01:34.820 Demilade Agboola: I’m sorry, I have…
14 00:01:35.610 ⇒ 00:01:37.190 Awaish Kumar: Not feeling so great.
15 00:01:38.230 ⇒ 00:01:41.989 Demilade Agboola: So for the spend, and, like, what’s going on.
16 00:01:42.320 ⇒ 00:01:46.500 Demilade Agboola: I haven’t actually synced with Ashwini and Otam yet, so I’ll need to sync with them today.
17 00:01:46.890 ⇒ 00:01:52.540 Demilade Agboola: Because we’re presenting our end-of-week, updates to them today.
18 00:01:53.080 ⇒ 00:02:00.789 Demilade Agboola: But ultimately, we’ve been able to make… I know we’ve been able to make some progress on spins, and help figure out some path to resolution.
19 00:02:01.160 ⇒ 00:02:05.900 Demilade Agboola: In terms of, like, the models, we’ve been able to give them the models, and…
20 00:02:06.440 ⇒ 00:02:13.310 Demilade Agboola: the models are, like, they were able to use it with their clients, and we’ve been able to do, like, a V1 and V2 of that.
21 00:02:13.620 ⇒ 00:02:20.429 Demilade Agboola: So ultimately, yes, I think, there… while there is room for, like, improvements for customers.
22 00:02:20.560 ⇒ 00:02:23.209 Demilade Agboola: Satisfaction, or client satisfaction.
23 00:02:23.600 ⇒ 00:02:28.430 Demilade Agboola: I also feel like, we’ve been able to make… move things forward this week.
24 00:02:29.620 ⇒ 00:02:33.419 Awaish Kumar: Okay, great. I think we are… if we have good enough…
25 00:02:33.870 ⇒ 00:02:37.889 Awaish Kumar: Updates to share. That’s great.
26 00:02:38.000 ⇒ 00:02:43.619 Awaish Kumar: And I do want to say, like, talk about spins, but yeah, we can take that at the end of the stand-up.
27 00:02:45.190 ⇒ 00:02:50.460 Awaish Kumar: Then we have Hydra. For Hydra, we had, so, questions from…
28 00:02:51.520 ⇒ 00:02:59.089 Awaish Kumar: some updates from them, and they wanted us to work on one of the tickets, which maybe I will work on today.
29 00:02:59.230 ⇒ 00:03:00.840 Awaish Kumar: And close it out.
30 00:03:01.600 ⇒ 00:03:05.559 Awaish Kumar: And, yeah, and then on the…
31 00:03:07.010 ⇒ 00:03:12.560 Awaish Kumar: Yeah, I don’t think there’s anything original. After that, I think we have CTA.
32 00:03:13.870 ⇒ 00:03:31.550 Uttam Kumaran: Yeah, so maybe I can talk about CTA. So, I met with Catherine yesterday. So for our meetings with CTA, we’re going to… we don’t need to do, like, decks anymore. I think I mainly want to present on, like, the Asana board. So, Asana is what they’re using internally for,
33 00:03:31.580 ⇒ 00:03:42.569 Uttam Kumaran: you know, task tracking, so I’ve gone ahead and updated Asana with, you know, current tasks that… that we’re working on. So I think overall, I just… I’m gonna kind of use that to present.
34 00:03:42.570 ⇒ 00:03:57.339 Uttam Kumaran: And then I want to use as much time as possible for almost, like, basically, like, working sessions. So I want to make sure that we’re able to discuss with our team and, you know, spend time actually talking about
35 00:03:57.340 ⇒ 00:04:10.090 Uttam Kumaran: you know, work. I think one thing that they requested is just more, you know, working sessions, so I feel fairly confident that we can, you know, we can start doing that and spending time, in those meetings, you know.
36 00:04:10.090 ⇒ 00:04:22.110 Uttam Kumaran: presenting on things that we’re doing. So, I feel pretty good. I think today I’m gonna… I’ll present a little bit about, sort of Snowflake governance, and our… the typical… the way that we set up Snowflake.
37 00:04:22.270 ⇒ 00:04:28.470 Uttam Kumaran: And then, yeah, wondering if there’s anything we can present on the modeling side as well that we didn’t do yesterday.
38 00:04:31.630 ⇒ 00:04:36.080 Awaish Kumar: Like, on the modeling side, I think Ashwini has worked on one of the…
39 00:04:36.590 ⇒ 00:04:39.640 Awaish Kumar: Model today, which was really critical for them.
40 00:04:39.780 ⇒ 00:04:48.749 Awaish Kumar: If we can use that EB bill model, and if we can tie it up with authorization data, that will be a good win.
41 00:04:49.770 ⇒ 00:04:57.700 Ashwini Sharma: Yeah, that’s already done, right? It’s kind of… it has a link to the organization. Right now, I’ve just included the name of the organization, but you can link it to other attributes as well.
42 00:04:57.830 ⇒ 00:05:02.140 Ashwini Sharma: If you want to show that in the meeting, that’s… That’s fine, yeah.
43 00:05:02.380 ⇒ 00:05:05.509 Awaish Kumar: What did it, so it will be nice if you can show that as well.
44 00:05:07.220 ⇒ 00:05:07.740 Ashwini Sharma: Yeah, sure.
45 00:05:09.150 ⇒ 00:05:09.790 Awaish Kumar: Okay.
46 00:05:10.800 ⇒ 00:05:13.630 Ashwini Sharma: Sorry, man, I could not follow the last part.
47 00:05:13.880 ⇒ 00:05:15.140 Uttam Kumaran: Yeah, can you say it one more time?
48 00:05:16.150 ⇒ 00:05:23.620 Awaish Kumar: Yeah, I just said they wanted the model, and if, like, HUD has already worked on that, we can show that in the, in our…
49 00:05:24.170 ⇒ 00:05:25.190 Uttam Kumaran: Okay, perfect.
50 00:05:28.060 ⇒ 00:05:31.429 Awaish Kumar: And I… I think we are pretty good here.
51 00:05:33.500 ⇒ 00:05:38.430 Awaish Kumar: To regard to elevate… I Yeah, you could…
52 00:05:38.430 ⇒ 00:05:47.549 Uttam Kumaran: Okay, so, sorry, one more thing on CTA. Like, is… do we have any progress on, like, the identity stitching piece, or maybe we can spend some time speaking about that with them, also?
53 00:05:47.550 ⇒ 00:05:52.509 Ashwini Sharma: I worked on it, and it’s a nightmare, to be honest.
54 00:05:52.510 ⇒ 00:05:52.860 Uttam Kumaran: Okay.
55 00:05:53.220 ⇒ 00:05:53.750 Uttam Kumaran: Okay.
56 00:05:54.190 ⇒ 00:05:58.769 Ashwini Sharma: Yeah, I spent a lot of time on it, and then I left it out, because
57 00:05:59.250 ⇒ 00:06:06.469 Ashwini Sharma: it’s sort of like, you know, you have sometimes the Impexium ID, which can be cleanly used to link it to
58 00:06:06.630 ⇒ 00:06:13.709 Ashwini Sharma: a specific identity, but if that is not there, then, there is, basically a website, right?
59 00:06:13.830 ⇒ 00:06:15.299 Ashwini Sharma: And then there is email.
60 00:06:16.180 ⇒ 00:06:31.480 Ashwini Sharma: Those are the two most important things. And when you use both of these things, right, the links are so hazard that… and the organization is, like, there is a parent organization, and then there are subsidiary organizations. So, basically, Samsung might be a parent entity.
61 00:06:31.480 ⇒ 00:06:31.930 Uttam Kumaran: Yes.
62 00:06:31.930 ⇒ 00:06:35.600 Ashwini Sharma: Samsung America, and then there might be child entities, which are, again, Samsung only.
63 00:06:36.050 ⇒ 00:06:37.660 Uttam Kumaran: Yeah, yeah, yeah.
64 00:06:37.660 ⇒ 00:06:40.219 Ashwini Sharma: All of them would be using Samsung as a link.
65 00:06:40.220 ⇒ 00:06:47.780 Uttam Kumaran: Yeah, I’m not surprised. I think, like, do you have… do you have all of that? You’re working, like, a PR or something? Then I can take a look, and…
66 00:06:48.100 ⇒ 00:06:48.640 Uttam Kumaran: Yeah.
67 00:06:48.890 ⇒ 00:06:54.239 Ashwini Sharma: Yeah, it’s not in a PR, it’s in a Snowflake query, I can share the query with you.
68 00:06:54.240 ⇒ 00:06:55.110 Awaish Kumar: Perfect.
69 00:06:55.190 ⇒ 00:06:58.290 Ashwini Sharma: Do you wanna just… you wanna just throw it into.
70 00:06:58.650 ⇒ 00:07:02.170 Uttam Kumaran: Edith, you want to just throw the query into a draft PR?
71 00:07:02.770 ⇒ 00:07:06.779 Uttam Kumaran: And I can just pull it from your… or put it into a branch, and I can pull from it.
72 00:07:07.310 ⇒ 00:07:08.380 Ashwini Sharma: Sure, I can…
73 00:07:08.840 ⇒ 00:07:16.390 Uttam Kumaran: Okay, okay. Okay, perfect. That’s actually… then I’ll… I’ll review that before the meeting, and we can send some time speaking about that, you know?
74 00:07:16.720 ⇒ 00:07:18.679 Awaish Kumar: Okay, I… I have a few…
75 00:07:18.860 ⇒ 00:07:22.519 Awaish Kumar: A few things to say here, but I will come back to this after this land.
76 00:07:22.520 ⇒ 00:07:23.060 Uttam Kumaran: Okay.
77 00:07:23.420 ⇒ 00:07:24.110 Uttam Kumaran: Right.
78 00:07:25.320 ⇒ 00:07:27.430 Awaish Kumar: So, moving on to Element…
79 00:07:28.620 ⇒ 00:07:39.549 Uttam Kumaran: So yeah, on Element, on my side, I’m working on documentation, so I finished up the data source documentation cleanup. I’m moving on to teams and metrics right now.
80 00:07:39.990 ⇒ 00:07:43.479 Uttam Kumaran: Bobby’s working on that, and then…
81 00:07:43.810 ⇒ 00:07:47.879 Uttam Kumaran: Yeah, I think I’ll be… I mentioned to Robert this morning the…
82 00:07:48.010 ⇒ 00:07:57.940 Uttam Kumaran: basically focus on the reporting as much as possible. So that would be really great to just make sure we have something ready for retail.
83 00:07:58.060 ⇒ 00:08:07.830 Uttam Kumaran: I think that… reviewing that will be good, and then… I think the Notion doc is gonna be fine. I think I’m gonna work on Notion and Gantt, and try to just make sure that’s all, like, cleaned up.
84 00:08:09.130 ⇒ 00:08:09.800 Awaish Kumar: Okay.
85 00:08:11.510 ⇒ 00:08:16.539 Awaish Kumar: Yeah, I’ve sent a PR your way, if you can review it, we can close that out for a wholesale.
86 00:08:17.380 ⇒ 00:08:20.330 Uttam Kumaran: Okay, great. Oh, that’s for the new thing, okay.
87 00:08:20.970 ⇒ 00:08:21.530 Awaish Kumar: Yep.
88 00:08:23.750 ⇒ 00:08:29.960 Uttam Kumaran: And then, I guess, Srini, I mean, Awash, on… on Element, if, if you get done with…
89 00:08:30.260 ⇒ 00:08:34.490 Uttam Kumaran: The, do you get done with…
90 00:08:34.809 ⇒ 00:08:42.480 Uttam Kumaran: the report for retail. I need some help on some documentation stuff, so just let me know as soon as that’s done, and then I can loop you in.
91 00:08:43.390 ⇒ 00:08:44.560 Awaish Kumar: Okay, sure.
92 00:08:46.030 ⇒ 00:08:49.689 Awaish Kumar: I think we don’t have anything on ABC.
93 00:08:50.300 ⇒ 00:08:53.320 Awaish Kumar: And finally, we are default.
94 00:08:53.450 ⇒ 00:08:54.980 Awaish Kumar: Rebi, you can go.
95 00:09:07.450 ⇒ 00:09:08.399 Uttam Kumaran: Am I on.
96 00:09:12.020 ⇒ 00:09:14.489 Demilade Agboola: Sorry, I was muted, okay.
97 00:09:15.170 ⇒ 00:09:18.940 Demilade Agboola: I was saying for default client, the client seems to be…
98 00:09:19.610 ⇒ 00:09:28.690 Demilade Agboola: Happy with our progress with the… Product Analytics Workstream.
99 00:09:28.930 ⇒ 00:09:30.879 Demilade Agboola: In terms of, like.
100 00:09:31.350 ⇒ 00:09:43.040 Demilade Agboola: blockers, we’re trying to move blockers out the way, so, the plan is to get that done by today. I know that the Polyatomic CTO has also gotten in on things going on with Modadoc.
101 00:09:43.200 ⇒ 00:09:48.299 Demilade Agboola: An S3 ingestion, so just trying to get that resolved, so hopefully we can get that done today.
102 00:09:49.300 ⇒ 00:09:49.770 Awaish Kumar: Okay.
103 00:09:49.770 ⇒ 00:09:50.370 Uttam Kumaran: Cool.
104 00:09:50.370 ⇒ 00:09:53.670 Awaish Kumar: So we got the access to S3 from default.
105 00:09:54.340 ⇒ 00:10:03.090 Demilade Agboola: Yeah, yeah, but it does appear like some… something is off with the cred that we’re using, so that’s why the Polyatomic CTO is hopping in to just kind of get that out the way.
106 00:10:05.080 ⇒ 00:10:05.770 Awaish Kumar: Okay.
107 00:10:06.150 ⇒ 00:10:06.860 Awaish Kumar: Great.
108 00:10:08.230 ⇒ 00:10:11.020 Awaish Kumar: And then moving on to Eden.
109 00:10:12.630 ⇒ 00:10:18.099 Awaish Kumar: I think… Yeah, we are pretty much on track on all the analytics work.
110 00:10:19.290 ⇒ 00:10:21.920 Awaish Kumar: For the EWS, I think I have shared
111 00:10:22.200 ⇒ 00:10:28.790 Awaish Kumar: all the audit reports. Next week, I will be starting on the… actually modeling it.
112 00:10:29.160 ⇒ 00:10:31.150 Awaish Kumar: Based on whatever we have.
113 00:10:33.030 ⇒ 00:10:33.810 Awaish Kumar: Okay.
114 00:10:35.530 ⇒ 00:10:38.590 Awaish Kumar: Yeah, that’s the end of the stand-up, like…
115 00:10:38.840 ⇒ 00:10:42.239 Awaish Kumar: And I have an announcement to make.
116 00:10:42.450 ⇒ 00:10:48.780 Awaish Kumar: One is that we are coming… coming up with a… With a plan.
117 00:10:49.630 ⇒ 00:10:57.289 Awaish Kumar: That, for any new pipeline which we are going to work on, We need to build,
118 00:10:57.640 ⇒ 00:10:59.500 Awaish Kumar: TDD, or…
119 00:10:59.760 ⇒ 00:11:09.249 Awaish Kumar: you can see, like, a spike ticket, and then the deliverable for that spike ticket would be a TDD, which then gets approved by…
120 00:11:09.760 ⇒ 00:11:11.339 Awaish Kumar: One of your peers.
121 00:11:12.730 ⇒ 00:11:25.330 Awaish Kumar: or an architect, and then finally we start with implementation after it is approved. And I think Sam has already worked on that in the GitHub world.
122 00:11:25.900 ⇒ 00:11:30.150 Awaish Kumar: We can see… I think if I can… Should you…
123 00:11:34.500 ⇒ 00:11:37.240 Awaish Kumar: In the Brainforge vault, we have this…
124 00:12:15.750 ⇒ 00:12:18.050 Awaish Kumar: Okay, yeah, it’s in here somewhere.
125 00:12:18.300 ⇒ 00:12:22.340 Awaish Kumar: And, it’s called something technical.
126 00:12:24.720 ⇒ 00:12:30.110 Awaish Kumar: design document, but I’m not sure where it lives right now.
127 00:12:33.150 ⇒ 00:12:37.669 Awaish Kumar: So, like, we have… we… it should be somewhere… In here?
128 00:12:37.670 ⇒ 00:12:41.009 Uttam Kumaran: If you ask Kirscher where the TDD docs, it might tell you.
129 00:12:41.130 ⇒ 00:12:42.690 Uttam Kumaran: I don’t know if Sam pushed it.
130 00:12:43.620 ⇒ 00:12:46.040 Awaish Kumar: I think he did, he sent,
131 00:13:05.590 ⇒ 00:13:06.270 Awaish Kumar: Okay.
132 00:13:37.580 ⇒ 00:13:41.410 Awaish Kumar: Okay, it’s… okay, it’s not yet pushed, but yeah.
133 00:13:41.820 ⇒ 00:13:46.260 Awaish Kumar: Yeah, the… Sam has built something like…
134 00:13:46.580 ⇒ 00:13:53.280 Awaish Kumar: like, this lightweight design talk, so for our tickets, like, I don’t think… There will be…
135 00:13:54.370 ⇒ 00:13:57.000 Awaish Kumar: a lot of… new things.
136 00:13:57.180 ⇒ 00:14:06.410 Awaish Kumar: like, the very, like, the big changes coming in, so we might have a new pull request, new Dexter pipeline, or we might have a new…
137 00:14:08.080 ⇒ 00:14:12.150 Awaish Kumar: like, something like, like, Spence API or new polyatomic connection.
138 00:14:12.610 ⇒ 00:14:22.569 Awaish Kumar: S3 to Mother Dark. So all these are examples of where we can actually, before diving into implementation, we can build something like this.
139 00:14:22.700 ⇒ 00:14:25.279 Awaish Kumar: So it is just, like,
140 00:14:25.410 ⇒ 00:14:42.150 Awaish Kumar: what we are trying to do, and what are the proposed changes, what alternatives were considered, and then who approved it. So basically, we’ll actually go through the plan before we start, start the implementation.
141 00:14:44.880 ⇒ 00:14:48.270 Awaish Kumar: Yeah, and I think that’s all for me.
142 00:14:50.060 ⇒ 00:14:54.550 Awaish Kumar: I… now I just wanted to, yeah, talk a little bit about CTA task.
143 00:14:54.660 ⇒ 00:14:56.679 Awaish Kumar: About identity stitching.
144 00:14:57.060 ⇒ 00:15:04.170 Awaish Kumar: Yeah, everybody, like, if you want to listen in, you can be there, otherwise you’re free to…
145 00:15:04.280 ⇒ 00:15:05.100 Awaish Kumar: Hop off.
146 00:15:11.450 ⇒ 00:15:12.420 Awaish Kumar: So…
147 00:15:12.760 ⇒ 00:15:20.990 Awaish Kumar: for the identity stitching, where I was in the meeting with them, what they said was, like, for each table, they…
148 00:15:21.730 ⇒ 00:15:29.289 Awaish Kumar: just wanted to be connected with some company or organization, right? But it was different for each table.
149 00:15:29.570 ⇒ 00:15:31.280 Awaish Kumar: The process is same.
150 00:15:31.470 ⇒ 00:15:40.509 Awaish Kumar: But we… yeah, but the… the columns may be different. So, number one is that try to find out some ID,
151 00:15:40.780 ⇒ 00:15:43.960 Awaish Kumar: as Ashwini, you already mentioned, there’s one ID, so…
152 00:15:44.160 ⇒ 00:15:55.099 Awaish Kumar: organization ID or something. Using that, you can easily join it with the organization, but sometimes it’s not possible. And for EB Build, they showed me, like.
153 00:15:55.280 ⇒ 00:16:06.330 Awaish Kumar: three different IDs to connect the… like, using one, you can connect to this table, using ID 2, you can connect to that, and basically doing that, you reach out to the organization.
154 00:16:06.520 ⇒ 00:16:10.430 Awaish Kumar: So, if they said, if there are some IDs.
155 00:16:10.610 ⇒ 00:16:12.440 Awaish Kumar: Which can be there linked?
156 00:16:13.030 ⇒ 00:16:14.770 Awaish Kumar: to finally come…
157 00:16:14.980 ⇒ 00:16:22.499 Awaish Kumar: come up with an organization name, that’s great. If not, then we can use a company name or email domain.
158 00:16:23.200 ⇒ 00:16:31.870 Awaish Kumar: That’s basically it, but it… it doesn’t… it does not have a standard ID column for each table. We… it could be any… any…
159 00:16:32.080 ⇒ 00:16:39.250 Awaish Kumar: ID which can join with, for example, some other table, then would… that table will have some organization ID.
160 00:16:39.400 ⇒ 00:16:40.410 Awaish Kumar: Things like that.
161 00:16:45.020 ⇒ 00:16:50.050 Ashwini Sharma: No, remembers data is clean, like, there is no problem with identity resolution and remembers data.
162 00:16:50.590 ⇒ 00:16:57.410 Ashwini Sharma: The problem is the S3 data, the archive data that we have loaded, right? There, it’s messed up.
163 00:16:57.680 ⇒ 00:17:01.869 Awaish Kumar: Yeah, I’m talking about that. In that data, we have one…
164 00:17:02.360 ⇒ 00:17:12.080 Awaish Kumar: One of the table they said was EB build, but now that we are getting from members, that problem is solved. But second one was beige scales.
165 00:17:12.329 ⇒ 00:17:13.589 Awaish Kumar: Okay?
166 00:17:13.599 ⇒ 00:17:14.299 Ashwini Sharma: Which one?
167 00:17:14.300 ⇒ 00:17:18.710 Awaish Kumar: Yeah, session scans table, which have the page scanned counts.
168 00:17:19.099 ⇒ 00:17:22.480 Awaish Kumar: Like, they also want our organization name in there.
169 00:17:34.070 ⇒ 00:17:35.750 Awaish Kumar: Utah, you are speaking?
170 00:17:36.120 ⇒ 00:17:37.040 Uttam Kumaran: No, no, no, I’m just listening.
171 00:17:37.040 ⇒ 00:17:37.530 Ashwini Sharma: Sorry.
172 00:17:37.530 ⇒ 00:17:37.970 Uttam Kumaran: I guess.
173 00:17:37.970 ⇒ 00:17:39.410 Ashwini Sharma: Yeah, I was speaking.
174 00:17:39.410 ⇒ 00:17:41.490 Uttam Kumaran: We do have to cr- oh yeah, go ahead, go ahead, go ahead.
175 00:17:41.490 ⇒ 00:17:52.610 Ashwini Sharma: Yeah, yeah, I’ll share that SQL that I was using for identity resolution, and then maybe you can review it. It explodes after some time, so we need to think of a different, clever way to.
176 00:17:52.610 ⇒ 00:17:53.400 Uttam Kumaran: Yeah, I wonder if we…
177 00:17:53.400 ⇒ 00:17:53.789 Ashwini Sharma: Thank you, bro.
178 00:17:53.790 ⇒ 00:17:55.969 Uttam Kumaran: type of mapping table that…
179 00:17:55.970 ⇒ 00:17:57.379 Ashwini Sharma: R1 mapping. We can…
180 00:17:57.380 ⇒ 00:18:00.139 Uttam Kumaran: we can build using casewens or something, right? Like…
181 00:18:00.360 ⇒ 00:18:01.620 Awaish Kumar: Yeah. You know?
182 00:18:02.580 ⇒ 00:18:05.710 Uttam Kumaran: So there’s a lot of… it’s gonna be a lot of conditional drawings.
183 00:18:07.490 ⇒ 00:18:08.160 Uttam Kumaran: Excited.
184 00:18:09.940 ⇒ 00:18:14.850 Awaish Kumar: Yeah, like, what I’m just trying to say is that it might be different
185 00:18:15.100 ⇒ 00:18:21.060 Awaish Kumar: Method, which works for different table. So, we might not have a single solution.
186 00:18:21.540 ⇒ 00:18:24.089 Awaish Kumar: And we… we don’t want to complicate…
187 00:18:24.920 ⇒ 00:18:32.370 Awaish Kumar: by making a generalized solution. Like, if it… like, if you have to imply three different processes for 3 tables, which are.
188 00:18:32.370 ⇒ 00:18:33.570 Uttam Kumaran: Yeah, we have to do the 3.
189 00:18:33.790 ⇒ 00:18:34.550 Awaish Kumar: Good to that.
190 00:18:35.470 ⇒ 00:18:36.680 Uttam Kumaran: Yeah, I agree.
191 00:18:37.830 ⇒ 00:18:42.109 Ashwini Sharma: And in spite of this, like, there will be some entities which will be unresolved.
192 00:18:42.240 ⇒ 00:18:57.329 Ashwini Sharma: Like, I’ve seen they have given website as LinkedIn.com, email as gmail.com, right? And then there is no other attribute that can link me. I mean, there is name attribute, but then you can’t use name with a fuzzy logic kind of matching. There could be multiple people with the same name.
193 00:18:57.330 ⇒ 00:19:01.449 Uttam Kumaran: This is a good situation where, like, we need to write a TDD, basically.
194 00:19:01.450 ⇒ 00:19:03.680 Ashwini Sharma: Like, we have to do some discovery.
195 00:19:03.680 ⇒ 00:19:13.890 Uttam Kumaran: And then we need to write a broad plan on, like, how we’re gonna tackle all the different use cases. Yeah. So, I think this is maybe a way, it’s just a good situation where you should use a new process.
196 00:19:14.090 ⇒ 00:19:20.529 Uttam Kumaran: And then me, you, and Ashwini can contribute to a technical plan before Sending it out for execution.
197 00:19:21.810 ⇒ 00:19:22.580 Awaish Kumar: Yes.
198 00:19:22.580 ⇒ 00:19:25.839 Uttam Kumaran: Because, yeah, I’ve dealt with this before, it’s gonna be a mix of, like.
199 00:19:26.330 ⇒ 00:19:33.670 Uttam Kumaran: Some of the data we just don’t have, so we need to go and get it enriched. Some data we’re just gonna have to have unique, you know, mapping tables for.
200 00:19:34.010 ⇒ 00:19:34.590 Awaish Kumar: Yep.
201 00:19:35.080 ⇒ 00:19:41.309 Awaish Kumar: I think, like, they already know if we could… can just get, like, something more than 50%.
202 00:19:41.310 ⇒ 00:19:41.900 Uttam Kumaran: Yes, tonight.
203 00:19:41.900 ⇒ 00:19:49.490 Awaish Kumar: That’s good enough for now, until we come up with, A more robust solution.
204 00:19:51.580 ⇒ 00:19:52.320 Uttam Kumaran: Okay.
205 00:19:52.930 ⇒ 00:19:53.510 Awaish Kumar: Okay.
206 00:19:55.840 ⇒ 00:20:02.720 Awaish Kumar: And then for Magic Spoons, will you be working on… Today, actually, all has 3P.
207 00:20:02.720 ⇒ 00:20:14.270 Ashwini Sharma: I will be doing… I haven’t received that account external ID and the other thing, but I need to do some refactoring so that when I plug in those two values, it should work seamlessly, right?
208 00:20:14.600 ⇒ 00:20:17.370 Ashwini Sharma: So, yeah, I’ll be doing that refactoring now.
209 00:20:22.430 ⇒ 00:20:23.150 Awaish Kumar: Okay.
210 00:20:23.150 ⇒ 00:20:26.680 Ashwini Sharma: I’ll add a separate ticket, so… It’s not here.
211 00:20:32.250 ⇒ 00:20:33.610 Uttam Kumaran: Okay, let’s… Okay.
212 00:20:33.650 ⇒ 00:20:34.550 Awaish Kumar: What?
213 00:20:34.670 ⇒ 00:20:36.120 Uttam Kumaran: Yeah, one,
214 00:20:36.530 ⇒ 00:20:44.759 Uttam Kumaran: One other thing I’d like to suggest is that we try to use, like, the Snowflake CLI for some work. Have either of you guys…
215 00:20:44.950 ⇒ 00:20:46.760 Uttam Kumaran: Giving that a shot through cursor.
216 00:20:48.930 ⇒ 00:20:54.980 Ashwini Sharma: Not through Cursor, but we use NoSQL, right? I think it’s the same thing, right? SnowSQL and CLI?
217 00:20:55.420 ⇒ 00:21:07.079 Uttam Kumaran: Yeah, but basically, basically what you’re gonna find, like, I wanna just share with you guys something, like, I was basically, like, my PR that I wrote for the models, I basically had Kirscher do most of it.
218 00:21:07.250 ⇒ 00:21:13.820 Uttam Kumaran: Because it already had access to all of the requirements that we had, and it was pretty good.
219 00:21:14.070 ⇒ 00:21:20.289 Uttam Kumaran: And so, kind of, like, what I did is I just told it, like, hey, I’m trying to build these tables, go check out these tickets.
220 00:21:20.500 ⇒ 00:21:24.800 Uttam Kumaran: Like, and then use the Snowflake CLI to start to build
221 00:21:25.040 ⇒ 00:21:39.380 Uttam Kumaran: to go profile the tables and start to build the PR, and it did most of it, which was really great. So, just encouraging you guys to try it today. If you go into your cursor, and you have also the Playbooks repo open.
222 00:21:39.620 ⇒ 00:21:43.449 Uttam Kumaran: You’ll see, you’ll see that in there.
223 00:21:47.580 ⇒ 00:21:49.440 Awaish Kumar: Yeah, I’ve seen it, but…
224 00:21:54.290 ⇒ 00:21:57.050 Uttam Kumaran: You guys have both seen it in there?
225 00:21:57.500 ⇒ 00:21:58.220 Ashwini Sharma: Awesome.
226 00:21:59.360 ⇒ 00:22:01.559 Ashwini Sharma: Where did you say Uthamat is? Playbook.
227 00:22:01.560 ⇒ 00:22:06.500 Uttam Kumaran: Yeah, do you want to share your cursor? I can just show you how to add it in there, and then…
228 00:22:06.690 ⇒ 00:22:09.110 Uttam Kumaran: Yeah, I think it… I think you’re gonna…
229 00:22:09.850 ⇒ 00:22:15.730 Uttam Kumaran: you’re gonna be much faster today with that. So, if you want to share, I can show you, and then I also have my cursor up, so…
230 00:22:16.200 ⇒ 00:22:18.689 Uttam Kumaran: I can kind of share what it looks like on my end, too.
231 00:22:20.840 ⇒ 00:22:21.440 Ashwini Sharma: Alright.
232 00:22:21.440 ⇒ 00:22:32.390 Uttam Kumaran: Great, okay, perfect. So, first thing I’m gonna ask is that if you could just do, like, file and do new workspace?
233 00:22:38.070 ⇒ 00:22:38.710 Ashwini Sharma: New window.
234 00:22:39.550 ⇒ 00:22:41.440 Uttam Kumaran: New window, yes.
235 00:22:42.100 ⇒ 00:22:42.640 Ashwini Sharma: Yeah.
236 00:22:42.810 ⇒ 00:22:45.339 Uttam Kumaran: And you can do Open Project.
237 00:22:47.100 ⇒ 00:22:50.739 Uttam Kumaran: And then, if you just go to your…
238 00:22:50.900 ⇒ 00:22:53.590 Uttam Kumaran: your GitHub, wherever you have your GitHub folders.
239 00:22:53.970 ⇒ 00:22:54.700 Uttam Kumaran: Mr.
240 00:22:57.750 ⇒ 00:23:04.269 Uttam Kumaran: Yeah, and then… do you have Brainforge, like, playbooks, or Brainforge Vault?
241 00:23:05.070 ⇒ 00:23:07.549 Ashwini Sharma: I guess not, let me clone it.
242 00:23:08.510 ⇒ 00:23:10.570 Uttam Kumaran: So yeah, clone, clone those.
243 00:23:17.200 ⇒ 00:23:18.160 Ashwini Sharma: playbook.
244 00:23:18.160 ⇒ 00:23:21.130 Uttam Kumaran: So it’s the playbook, and then the vault also, yeah.
245 00:23:58.200 ⇒ 00:24:00.709 Ashwini Sharma: And what’s the other one? Brainforce Vault.
246 00:24:00.710 ⇒ 00:24:02.499 Uttam Kumaran: Vault, yes.
247 00:24:28.340 ⇒ 00:24:30.099 Ashwini Sharma: Hold on, why is it so large?
248 00:24:31.120 ⇒ 00:24:33.950 Uttam Kumaran: It’s large, it’s very large.
249 00:24:35.250 ⇒ 00:24:37.089 Uttam Kumaran: Okay, now go back to cursor.
250 00:24:37.270 ⇒ 00:24:40.110 Uttam Kumaran: and open all… open CTA.
251 00:24:41.550 ⇒ 00:24:42.480 Ashwini Sharma: Oh, okay.
252 00:24:42.480 ⇒ 00:24:46.620 Uttam Kumaran: CTA, Playbook, and the… yeah, open all of them. So, go back, yeah.
253 00:24:46.760 ⇒ 00:24:51.090 Uttam Kumaran: Open these two, and I’ll show you, and then you can just add the CTA one. So…
254 00:24:51.200 ⇒ 00:24:57.410 Uttam Kumaran: Yeah. Actually, here, I’ll sh… you can, yeah, you can just do… well, actually click cancel.
255 00:24:57.870 ⇒ 00:24:59.170 Uttam Kumaran: Okay.
256 00:24:59.350 ⇒ 00:25:02.770 Uttam Kumaran: And then… and then minimize these, yeah.
257 00:25:03.000 ⇒ 00:25:04.689 Uttam Kumaran: And then just right-click here.
258 00:25:05.680 ⇒ 00:25:08.669 Uttam Kumaran: And then do Add Folder to Workspace.
259 00:25:09.860 ⇒ 00:25:10.710 Uttam Kumaran: Yes, sir.
260 00:25:13.420 ⇒ 00:25:15.910 Uttam Kumaran: And then, yeah, just add the CTA.
261 00:25:17.600 ⇒ 00:25:20.729 Uttam Kumaran: I mean, you could add all the ones that you’re working on, but yeah.
262 00:25:42.640 ⇒ 00:25:43.759 Uttam Kumaran: What is Hideyoki?
263 00:25:47.480 ⇒ 00:25:48.710 Uttam Kumaran: Great.
264 00:25:48.960 ⇒ 00:25:56.919 Uttam Kumaran: So now, I’m gonna just say, if you go here, and then say… just type in, please use…
265 00:25:57.080 ⇒ 00:25:59.180 Uttam Kumaran: the Snowflake CLI?
266 00:26:01.130 ⇒ 00:26:09.640 Uttam Kumaran: to, query a table in the raw database in CTA Snowflake.
267 00:26:13.180 ⇒ 00:26:15.399 Uttam Kumaran: And just hit enter, see what it does.
268 00:26:33.610 ⇒ 00:26:36.909 Uttam Kumaran: And then you have also one… you have 1Password installed, right?
269 00:26:37.240 ⇒ 00:26:38.259 Uttam Kumaran: Think of it.
270 00:26:38.400 ⇒ 00:26:39.930 Ashwini Sharma: In the browser, yes.
271 00:26:40.670 ⇒ 00:26:50.970 Uttam Kumaran: So, okay. I mean, one thing also you can do is, like, if you don’t, it’s gonna tell you you don’t have your credentials, so I usually tell it to use,
272 00:26:51.400 ⇒ 00:26:58.549 Uttam Kumaran: I tell it to go use my 1Password CLI to access my credentials.
273 00:26:58.700 ⇒ 00:27:02.890 Uttam Kumaran: So one thing you can also type in here is…
274 00:27:04.390 ⇒ 00:27:08.059 Uttam Kumaran: Here, can you just stop this for one sec?
275 00:27:08.430 ⇒ 00:27:14.930 Uttam Kumaran: Let’s go ahead and say, use the vault, and install the 1Password CLI.
276 00:27:15.320 ⇒ 00:27:19.169 Uttam Kumaran: Or, use the playbooks, and install the 1Password CLL.
277 00:27:53.940 ⇒ 00:27:55.029 Uttam Kumaran: Reach between that.
278 00:28:04.820 ⇒ 00:28:05.730 Uttam Kumaran: Regular life.
279 00:28:17.720 ⇒ 00:28:29.030 Uttam Kumaran: Great. So, what this is gonna do is actually it’s gonna… you can basically use Cursor to access your 1Password, so tell it to go ahead and run OP sign-in. Say, you go ahead and run it.
280 00:28:30.310 ⇒ 00:28:31.959 Ashwini Sharma: Sorry, what, run? OP?
281 00:28:32.380 ⇒ 00:28:36.459 Uttam Kumaran: You can, yeah, you can just say… it says next steps, right? You can just say, run the next steps.
282 00:28:36.460 ⇒ 00:28:36.990 Ashwini Sharma: Okay.
283 00:28:37.740 ⇒ 00:28:42.759 Uttam Kumaran: You can say, run the next steps and find my CTA Snowflake credentials.
284 00:29:11.990 ⇒ 00:29:18.389 Uttam Kumaran: One thing that I would also do, Ashwini, is you can just add it to the… you can add it to your allow list.
285 00:29:18.750 ⇒ 00:29:30.349 Uttam Kumaran: So, when… next time, it’ll give you some command, and it… you could just keep saying add to allow list, and it’ll just keep going by itself, basically. Okay, so now it’s in… so just click Allow List here, yeah.
286 00:29:30.350 ⇒ 00:29:31.010 Ashwini Sharma: Yeah.
287 00:29:38.840 ⇒ 00:29:41.389 Uttam Kumaran: Oh, you need the 1Password desktop.
288 00:29:41.870 ⇒ 00:29:42.390 Uttam Kumaran: Looks like…
289 00:29:42.390 ⇒ 00:29:43.849 Ashwini Sharma: I don’t install that? Okay.
290 00:29:43.850 ⇒ 00:29:44.850 Uttam Kumaran: Yeah, yeah.
291 00:29:48.050 ⇒ 00:29:50.460 Uttam Kumaran: So what… the way I use this is, like.
292 00:29:50.780 ⇒ 00:29:59.259 Uttam Kumaran: Anytime your CLI needs credentials, I just tell it to go access my 1Password via the CLI now. I don’t paste the credentials in.
293 00:30:02.840 ⇒ 00:30:03.300 Ashwini Sharma: Jesus.
294 00:30:27.950 ⇒ 00:30:36.120 Uttam Kumaran: In a waysh, maybe you want to also just make sure you… you’re doing this alongside of us? Like, you have your 1Password CLI and things, too.
295 00:30:38.920 ⇒ 00:30:39.949 Uttam Kumaran: You know…
296 00:30:48.720 ⇒ 00:30:49.400 Awaish Kumar: Excellent.
297 00:30:57.100 ⇒ 00:30:58.150 Uttam Kumaran: It’s a butterfly.
298 00:31:09.740 ⇒ 00:31:11.209 Ashwini Sharma: Oh, I need to do this?
299 00:31:13.090 ⇒ 00:31:15.600 Uttam Kumaran: Yes.
300 00:31:16.320 ⇒ 00:31:17.439 Ashwini Sharma: That’s my secret key now.
301 00:31:17.820 ⇒ 00:31:21.550 Uttam Kumaran: Well, it’s probably in your 1P… did you save it to your 1Password?
302 00:31:22.200 ⇒ 00:31:23.430 Ashwini Sharma: No, I didn’t.
303 00:31:24.570 ⇒ 00:31:25.639 Ashwini Sharma: I don’t think I did.
304 00:31:25.640 ⇒ 00:31:28.840 Uttam Kumaran: Wait, remember it gave you that PDF? You probably have it somewhere.
305 00:31:29.350 ⇒ 00:31:31.879 Uttam Kumaran: Yeah, probably I have it,
306 00:31:32.190 ⇒ 00:31:34.669 Uttam Kumaran: Search for, like, OnePass, Access, or something.
307 00:31:36.040 ⇒ 00:31:41.359 Uttam Kumaran: Oh… Sorry, I know this is painful. It’s gonna be helpful.
308 00:31:43.220 ⇒ 00:31:44.610 Ashwini Sharma: Download.
309 00:31:44.610 ⇒ 00:31:46.209 Uttam Kumaran: Should’ve been downloaded.
310 00:31:48.360 ⇒ 00:31:49.870 Ashwini Sharma: Beautyophile.
311 00:32:44.940 ⇒ 00:32:46.750 Ashwini Sharma: Yeah, yeah, I have an emergency kit.
312 00:32:47.200 ⇒ 00:32:48.190 Uttam Kumaran: Yeah, exactly.
313 00:32:48.650 ⇒ 00:32:49.560 Ashwini Sharma: Okay.
314 00:32:51.420 ⇒ 00:32:53.319 Ashwini Sharma: That’s the secret key, the one in the.
315 00:32:53.320 ⇒ 00:32:54.150 Uttam Kumaran: Yes.
316 00:32:54.150 ⇒ 00:32:54.929 Ashwini Sharma: Yeah, okay.
317 00:32:54.930 ⇒ 00:32:58.729 Uttam Kumaran: So my other suggestion is put it into your 1Password, also.
318 00:32:58.730 ⇒ 00:33:00.719 Ashwini Sharma: Yeah, I have to do that now, okay.
319 00:33:22.160 ⇒ 00:33:25.409 Uttam Kumaran: Alright, so this is done. Should I go back to cursor now?
320 00:33:28.180 ⇒ 00:33:32.090 Uttam Kumaran: Yes. Please. Well, make sure you install the desktop.
321 00:33:32.560 ⇒ 00:33:34.069 Ashwini Sharma: Yeah, desktop is installed right now.
322 00:33:34.900 ⇒ 00:33:38.659 Uttam Kumaran: Okay, great, yeah, go back to Kurt. Oh, wait, actually, one thing. Go to Settings.
323 00:33:44.900 ⇒ 00:33:47.039 Uttam Kumaran: And go to Developer.
324 00:33:48.560 ⇒ 00:33:52.120 Uttam Kumaran: And click on Integrate with 1Password CLI.
325 00:33:52.400 ⇒ 00:33:56.109 Uttam Kumaran: Okay. And click on Show OnePassword Developer Experience.
326 00:33:56.770 ⇒ 00:34:00.100 Uttam Kumaran: Perfect. Okay. Now you can go back.
327 00:34:03.780 ⇒ 00:34:05.870 Uttam Kumaran: Well, you can go back to your car, Chef, yeah.
328 00:34:09.199 ⇒ 00:34:12.389 Uttam Kumaran: Alright, allow this.
329 00:35:13.339 ⇒ 00:35:14.329 Uttam Kumaran: Gonna work?
330 00:35:15.529 ⇒ 00:35:17.199 Uttam Kumaran: That they’ve made three states.
331 00:35:17.200 ⇒ 00:35:19.519 Ashwini Sharma: It’s asking me to authorize for a month.
332 00:35:19.640 ⇒ 00:35:30.929 Uttam Kumaran: Yeah, well, okay, now it’s gonna look at the remembers instance. Well, tell it not, don’t… you actually go to your 1Password, you have both the credentials, right? You have the remembers instance…
333 00:35:31.140 ⇒ 00:35:33.210 Uttam Kumaran: And the other one, right?
334 00:35:33.210 ⇒ 00:35:34.850 Ashwini Sharma: CT attack? Yeah.
335 00:35:34.850 ⇒ 00:35:43.060 Uttam Kumaran: Tell it to use the CTA Tech one, otherwise it’s gonna… it’s gonna… see, you can see right now, it’s looking at the… looking at the remembers instance.
336 00:35:44.590 ⇒ 00:35:47.919 Uttam Kumaran: So… Yeah, so press pause.
337 00:35:48.650 ⇒ 00:35:53.180 Uttam Kumaran: And then, just say, like, Don’t use the remembers.
338 00:35:54.640 ⇒ 00:35:58.960 Uttam Kumaran: Don’t use the remembers, use the other Snowflake instance.
339 00:35:59.340 ⇒ 00:36:01.650 Awaish Kumar: Yeah, but for CTA, we are going through October.
340 00:36:02.620 ⇒ 00:36:04.930 Uttam Kumaran: No, no, it’ll, it’ll, it’ll, it’ll do it.
341 00:36:06.240 ⇒ 00:36:08.390 Uttam Kumaran: It’ll have you log into Okta.Auth.
342 00:36:20.340 ⇒ 00:36:21.160 Awaish Kumar: Oh, boy.
343 00:36:22.680 ⇒ 00:36:24.360 Awaish Kumar: Are you floating anything?
344 00:36:24.850 ⇒ 00:36:25.590 Awaish Kumar: It’d be weird.
345 00:36:35.670 ⇒ 00:36:36.540 Uttam Kumaran: We’ll satisfy that.
346 00:36:48.170 ⇒ 00:36:51.189 Awaish Kumar: I don’t see anything in OnePlus.
347 00:36:51.700 ⇒ 00:36:54.439 Uttam Kumaran: No, it’s in… it’s in… I haven’t won one pass.
348 00:36:56.430 ⇒ 00:37:01.139 Uttam Kumaran: Yeah, you’re… you’re awaish, Kumar. What’s he doing?
349 00:37:12.950 ⇒ 00:37:14.300 Uttam Kumaran: Oh…
350 00:37:19.160 ⇒ 00:37:23.169 Uttam Kumaran: So, maybe what you can do, actually, Ashwin, is you pause this one.
351 00:37:23.970 ⇒ 00:37:29.080 Uttam Kumaran: And give it the account credentials.
352 00:37:29.470 ⇒ 00:37:31.360 Uttam Kumaran: Like, from Snowflake.
353 00:37:31.960 ⇒ 00:37:35.180 Uttam Kumaran: Like, give it the… give it the proper account identifier.
354 00:37:45.540 ⇒ 00:37:51.280 Uttam Kumaran: Yeah, what you can do is you can actually just, yeah, just cop… just, like, screenshot this and send it in.
355 00:37:52.620 ⇒ 00:37:53.870 Uttam Kumaran: Translate image.
356 00:37:54.020 ⇒ 00:37:55.339 Uttam Kumaran: Just, yeah, the image.
357 00:37:56.510 ⇒ 00:37:57.210 Uttam Kumaran: Nice.
358 00:38:24.870 ⇒ 00:38:25.550 Uttam Kumaran: Stop.
359 00:38:32.150 ⇒ 00:38:33.179 Ashwini Sharma: Still looking at voltage.
360 00:38:35.550 ⇒ 00:38:37.509 Uttam Kumaran: It’s okay, yeah, keep going.
361 00:38:54.740 ⇒ 00:39:01.329 Uttam Kumaran: Okay, I don’t know why… actually, Clear, just pause this. I don’t know why it’s Chip trying to… just tell it to, like…
362 00:39:03.840 ⇒ 00:39:09.900 Uttam Kumaran: I’m wondering why… yeah, so don’t create one, just give it the URL, say, try to log into this.
363 00:39:13.090 ⇒ 00:39:17.469 Uttam Kumaran: And if you… and use my Okta credentials to log into this.
364 00:39:24.710 ⇒ 00:39:30.000 Uttam Kumaran: Yeah, just say… Access this, use my Okta CTA credentials to log in.
365 00:42:17.660 ⇒ 00:42:19.769 Uttam Kumaran: Bit of work? Yeah, there it is.
366 00:42:21.390 ⇒ 00:42:21.930 Ashwini Sharma: Okay?
367 00:42:23.760 ⇒ 00:42:25.389 Uttam Kumaran: It’s connected.
368 00:42:26.790 ⇒ 00:42:27.610 Ashwini Sharma: Cool.
369 00:42:28.260 ⇒ 00:42:29.480 Ashwini Sharma: So now what you can do…
370 00:42:29.480 ⇒ 00:42:30.060 Uttam Kumaran: Dude.
371 00:42:30.210 ⇒ 00:42:35.900 Ashwini Sharma: Yeah, so what you can do now is, like, I would start using this to create dev tables.
372 00:42:35.970 ⇒ 00:42:39.769 Uttam Kumaran: And build your queries for you, like, build your dbt models for you.
373 00:42:41.210 ⇒ 00:42:42.040 Ashwini Sharma: Okay.
374 00:42:45.910 ⇒ 00:42:48.550 Uttam Kumaran: Oh, wait, so you also… you also got connected?
375 00:42:53.100 ⇒ 00:42:55.370 Awaish Kumar: It is actually a story.
376 00:42:56.910 ⇒ 00:42:57.969 Awaish Kumar: Over here, I don’t.
377 00:43:31.500 ⇒ 00:43:32.300 Uttam Kumaran: Cool.
378 00:43:34.190 ⇒ 00:43:39.250 Uttam Kumaran: Okay, so yeah, that’s my suggestion overall, is to start to use this to query
379 00:43:39.410 ⇒ 00:43:46.589 Uttam Kumaran: And I… and I think you’re gonna see, like, quite a lot of speed improvements overall if you do it this way.
380 00:43:51.480 ⇒ 00:43:54.429 Uttam Kumaran: Awesome, okay, guys, I’m gonna go jump to prep.
381 00:43:54.680 ⇒ 00:43:55.909 Awaish Kumar: The next slide.
382 00:43:57.310 ⇒ 00:43:59.150 Uttam Kumaran: Okay.