Meeting Title: Data Service Standup Date: 2026-02-26 Meeting participants: Brylle Girang, Awaish Kumar, Ashwini Sharma, Mustafa Raja, Rico Rejoso
WEBVTT
1 00:00:20.560 ⇒ 00:00:21.909 Brylle Girang: Hi, good morning.
2 00:00:24.650 ⇒ 00:00:26.660 Awaish Kumar: Wouldn’t want it.
3 00:00:30.300 ⇒ 00:00:31.850 Awaish Kumar: I’m annoying.
4 00:00:33.080 ⇒ 00:00:40.049 Brylle Girang: I am doing good. I’m just trying to catch up, because there have been lots of things that happened yesterday, especially with CTA.
5 00:00:40.970 ⇒ 00:00:47.719 Awaish Kumar: Yeah, that’s the… actually, if we don’t… I think we don’t have access to one of the five, which is really important.
6 00:00:47.720 ⇒ 00:00:48.890 Brylle Girang: Yeah.
7 00:00:48.890 ⇒ 00:00:52.450 Awaish Kumar: Which she was… that is the one which she was showing in the meeting.
8 00:00:52.920 ⇒ 00:01:00.620 Awaish Kumar: I think if we get access to that file, I already pinged her, if we can get access to that, and we use Casser.
9 00:01:01.230 ⇒ 00:01:05.379 Awaish Kumar: Her transcript with that file, that might get better tickets.
10 00:01:06.080 ⇒ 00:01:06.600 Brylle Girang: Okay.
11 00:01:06.600 ⇒ 00:01:08.619 Awaish Kumar: Excusing transcript, yeah.
12 00:01:15.580 ⇒ 00:01:21.000 Awaish Kumar: But I think, yeah, like, if… I’m not sure if you are able to create tickets already, or…
13 00:01:21.210 ⇒ 00:01:34.360 Brylle Girang: Yeah, yeah, I am. So, I do agree with you, I’m going to, like, cross-check the transcript, what she was saying during the meeting, with the file that she’s going to share, and then I’ll work on the tickets from there.
14 00:01:35.070 ⇒ 00:01:38.829 Brylle Girang: Did they agree to the Cortex wrap-up?
15 00:01:39.780 ⇒ 00:01:41.799 Awaish Kumar: No, I think,
16 00:01:41.920 ⇒ 00:01:50.329 Awaish Kumar: Utam said he’s going to work on that in parallel, maybe, but for now, this thing, that report, modeling for that report.
17 00:01:50.600 ⇒ 00:01:58.830 Awaish Kumar: Is important, and and identity stretching, like, closing that piece is also important. These two are the priorities.
18 00:01:59.860 ⇒ 00:02:07.020 Awaish Kumar: For Cortex, we can just, try, like, whenever… if we are done with that, or Utham has time, like.
19 00:02:07.160 ⇒ 00:02:08.100 Awaish Kumar: And there’s all.
20 00:02:08.800 ⇒ 00:02:09.509 Brylle Girang: Okay.
21 00:02:12.370 ⇒ 00:02:20.180 Awaish Kumar: Okay, we can start our stand-up, I think. Demi is not joining today, but he has said a message in Slack.
22 00:02:21.280 ⇒ 00:02:26.490 Awaish Kumar: regarding Magic Spawns, that, SOW will be…
23 00:02:26.870 ⇒ 00:02:32.690 Awaish Kumar: like, will be signed, like, signed soon, or something like that, but…
24 00:02:32.900 ⇒ 00:02:38.800 Awaish Kumar: I think he mentioned that we need to… get data… from Spins API.
25 00:02:39.210 ⇒ 00:02:43.500 Awaish Kumar: So… Yeah, actually, can you give…
26 00:02:43.500 ⇒ 00:02:46.999 Ashwini Sharma: I’m working on that, getting the data from Spin’s API.
27 00:02:47.190 ⇒ 00:02:53.320 Ashwini Sharma: It’s for the higher time frames, right? So, I should be done by tomorrow.
28 00:02:54.580 ⇒ 00:02:56.550 Awaish Kumar: Even future timeframes, right?
29 00:02:56.750 ⇒ 00:03:01.110 Awaish Kumar: No, past time frames only. I mean, 4-12.
30 00:03:01.110 ⇒ 00:03:02.230 Ashwini Sharma: Yeah, yeah.
31 00:03:03.840 ⇒ 00:03:04.840 Awaish Kumar: Okay, okay.
32 00:03:04.980 ⇒ 00:03:12.049 Awaish Kumar: Okay, and like, can we also bill, like, get a… can I get some help?
33 00:03:12.360 ⇒ 00:03:15.740 Awaish Kumar: Like, creating proper cycles here.
34 00:03:17.430 ⇒ 00:03:23.879 Awaish Kumar: able to see current cycle, it just says one week cool down every time, but I don’t know what that is.
35 00:03:24.320 ⇒ 00:03:27.969 Awaish Kumar: And, then, yeah, it’s…
36 00:03:29.640 ⇒ 00:03:37.729 Awaish Kumar: We can’t see the current one. It’s something… there is something which is not in other projects, for example.
37 00:03:38.250 ⇒ 00:03:39.020 Brylle Girang: Gotcha.
38 00:03:40.520 ⇒ 00:03:42.480 Brylle Girang: I’m fixing this now.
39 00:03:43.410 ⇒ 00:03:44.260 Awaish Kumar: Okay.
40 00:03:44.900 ⇒ 00:03:46.310 Awaish Kumar: Thank you.
41 00:03:46.670 ⇒ 00:03:49.749 Awaish Kumar: Yeah, so you’re working on this.
42 00:03:50.150 ⇒ 00:03:55.070 Awaish Kumar: And he already demoed already mentioned client is happy, but we need to deliver these things.
43 00:03:55.320 ⇒ 00:03:57.590 Awaish Kumar: To… to keep… keep that.
44 00:03:58.520 ⇒ 00:04:06.420 Ashwini Sharma: Yeah, yeah, yeah, I’ll be… basically, I need to get it done by next week, that’s the deadline, but I’ll be done by tomorrow for this one.
45 00:04:06.980 ⇒ 00:04:10.789 Ashwini Sharma: Facebook will productionize that, the entire thing, and then deploy it to production, so…
46 00:04:10.950 ⇒ 00:04:16.430 Ashwini Sharma: Great. In the meantime, if you need anything, just.
47 00:04:16.430 ⇒ 00:04:18.479 Awaish Kumar: Being in the journal.
48 00:04:18.880 ⇒ 00:04:19.980 Awaish Kumar: And,
49 00:04:20.540 ⇒ 00:04:30.380 Awaish Kumar: we can close, this, right? And, moving on to Eden OS, right, I just created a… document?
50 00:04:30.510 ⇒ 00:04:35.250 Awaish Kumar: I think, Braille, you are working on the Gantt chart.
51 00:04:36.940 ⇒ 00:04:41.309 Awaish Kumar: So if, yeah, like, we can create, I think, two work streams, as you mentioned, but that’s…
52 00:04:41.440 ⇒ 00:04:51.160 Awaish Kumar: it. I have already, created a document on that also, like, what we are working on, I’ve shared in Slack, that my… if, like, you can look at it if that is helpful.
53 00:04:51.460 ⇒ 00:04:58.359 Awaish Kumar: And, apart from that, I think we are still blocked in terms of doing any real development here.
54 00:04:58.740 ⇒ 00:05:01.640 Awaish Kumar: Then I think, yeah, that’s going well.
55 00:05:01.800 ⇒ 00:05:06.310 Awaish Kumar: Moving on to… One thing for…
56 00:05:06.430 ⇒ 00:05:11.250 Brylle Girang: One thing for Eden OS, my only blocker there is that
57 00:05:11.510 ⇒ 00:05:19.239 Brylle Girang: I can see our actual commitments for Remo, because I check our contracts, I also shared this with Robert.
58 00:05:19.360 ⇒ 00:05:27.740 Brylle Girang: the only commitment that we have in the contract is that we will be doing the reporting and analytics work. So, it’s super broad.
59 00:05:28.350 ⇒ 00:05:31.840 Brylle Girang: I’m going to confirm with Robert what he means by…
60 00:05:32.150 ⇒ 00:05:43.499 Brylle Girang: confirming what we committed to, and then what we think is necessary. But regardless, the Gantt chart should be finished today, but for the SOW, that’s something that I will be working with Robert.
61 00:05:46.110 ⇒ 00:05:51.740 Awaish Kumar: Okay, yeah, we can discuss this in detail at the end of the stand-up.
62 00:05:52.020 ⇒ 00:06:05.019 Awaish Kumar: Moving on to CTA, I think we, we already discussed in this… at the start of this meeting, Ashwini, that we need to close that report.
63 00:06:05.280 ⇒ 00:06:20.859 Awaish Kumar: modeling for that report, and then also the identity stitching part. So, like, Burrell is already working on creating those tickets, and I’ve also pinged in the Slack channel to get a pre-ordered 2026 report, so that we can actually
64 00:06:21.000 ⇒ 00:06:29.460 Awaish Kumar: seat and start working. Once we have all those tickets in, we can divide them among us.
65 00:06:30.280 ⇒ 00:06:31.020 Brylle Girang: Okay.
66 00:06:32.240 ⇒ 00:06:33.070 Awaish Kumar: Okay.
67 00:06:34.900 ⇒ 00:06:40.200 Brylle Girang: Yeah, I… yeah, in terms of client health, this is… this client is also seems to be…
68 00:06:40.320 ⇒ 00:06:43.480 Awaish Kumar: Happy, at least for now.
69 00:06:43.760 ⇒ 00:06:47.510 Awaish Kumar: And I think she will be more than happy if we deliver.
70 00:06:47.950 ⇒ 00:06:53.980 Awaish Kumar: Identity… identity engagement piece, and the… the model… CES modeling piece.
71 00:06:54.430 ⇒ 00:06:59.640 Awaish Kumar: And then, moving on to the element…
72 00:07:00.070 ⇒ 00:07:02.860 Awaish Kumar: Here also, I think client…
73 00:07:03.620 ⇒ 00:07:08.800 Awaish Kumar: there are a lot of moving pieces here, but I think client is also seems to be happy here.
74 00:07:08.950 ⇒ 00:07:16.730 Awaish Kumar: And we have already… Delivered wholesale, but yeah, there are some…
75 00:07:17.540 ⇒ 00:07:22.430 Awaish Kumar: discussions going on on the metric definition that That will…
76 00:07:22.590 ⇒ 00:07:26.140 Awaish Kumar: That is just between the client and us, and we figure out
77 00:07:26.360 ⇒ 00:07:38.490 Awaish Kumar: Once we figure out the correct definitions, we are going to just make some changes. Same for the retail. We have delivered modeling, and the reporting team is working on it. Once
78 00:07:38.570 ⇒ 00:07:49.770 Awaish Kumar: We have some feedback, we can help them, with the modeling, but otherwise, it’s… It’s going fine.
79 00:07:50.520 ⇒ 00:07:55.430 Awaish Kumar: And, yeah, is the… I… yeah, I think that’s it for Element.
80 00:07:55.600 ⇒ 00:08:09.989 Brylle Girang: Also, for Element, Awish, as we discussed, we will be starting to work on the e-commerce modeling, since we’re almost done with retail. So I’ll be… I’ll be moving the e-commerce tickets, if there’s any, over to the current or next cycle.
81 00:08:11.870 ⇒ 00:08:14.270 Awaish Kumar: Okay, yeah, in the current one, I…
82 00:08:14.410 ⇒ 00:08:24.579 Awaish Kumar: I, like, we can… I can support Amber on wholesale and retail. In the next week, obviously, we are going to start e-commerce.
83 00:08:24.580 ⇒ 00:08:27.170 Brylle Girang: Okay. But this week, it depends on…
84 00:08:27.200 ⇒ 00:08:36.140 Awaish Kumar: maybe if we… like, I would love to close out, stuff on CTA, because we have already done quite a lot of work for Element, so…
85 00:08:36.200 ⇒ 00:08:44.240 Brylle Girang: Gotcha. So, next week we’ll start the e-commerce, and then we’ll just focus on the loop between you and Amber for retail this week.
86 00:08:44.780 ⇒ 00:08:45.400 Awaish Kumar: Yeah.
87 00:08:45.400 ⇒ 00:08:45.900 Brylle Girang: Okay.
88 00:08:45.900 ⇒ 00:08:57.730 Awaish Kumar: Yeah, yeah, we can, like, keep, like, some tickets, but obviously, yeah, I think, it’s more… CTA is more of a focus now, and then we can…
89 00:08:57.920 ⇒ 00:09:00.949 Awaish Kumar: I will continue to support Amber on this.
90 00:09:00.950 ⇒ 00:09:01.580 Brylle Girang: Okay.
91 00:09:06.450 ⇒ 00:09:10.459 Awaish Kumar: I think then we don’t have anything on ABC still.
92 00:09:11.110 ⇒ 00:09:14.150 Awaish Kumar: Finally, we have default.
93 00:09:14.410 ⇒ 00:09:17.350 Awaish Kumar: Tim is not here, but he has only replied.
94 00:09:17.560 ⇒ 00:09:24.750 Awaish Kumar: And that things are going well there, and he’s doing some more modeling and dashboarding there.
95 00:09:24.960 ⇒ 00:09:27.760 Awaish Kumar: So, Musa, you can give updates from your side.
96 00:09:28.970 ⇒ 00:09:37.690 Mustafa Raja: Yeah, so, a quick EP update would be we are on track based on the, Gantt chart, and today we have a client meeting.
97 00:09:37.850 ⇒ 00:09:41.120 Mustafa Raja: And Demi has worked, some on…
98 00:09:41.270 ⇒ 00:09:50.350 Mustafa Raja: Dashboards, and he will be presenting them in the, in the meeting, and getting their feedback on those.
99 00:09:51.260 ⇒ 00:09:52.090 Awaish Kumar: Okay.
100 00:09:53.750 ⇒ 00:09:56.440 Mustafa Raja: Okay, that’s the plan for today.
101 00:09:57.040 ⇒ 00:10:01.850 Awaish Kumar: Okay, and I thought, okay, is this done?
102 00:10:02.270 ⇒ 00:10:03.280 Mustafa Raja: Yeah.
103 00:10:04.630 ⇒ 00:10:05.060 Awaish Kumar: Okay.
104 00:10:05.060 ⇒ 00:10:06.740 Mustafa Raja: Sorry, I just need to update this one.
105 00:10:07.150 ⇒ 00:10:09.630 Awaish Kumar: Yeah, like, please try to do that.
106 00:10:09.900 ⇒ 00:10:13.770 Awaish Kumar: Before this meeting, and we have these tickets, what are they?
107 00:10:14.640 ⇒ 00:10:18.690 Mustafa Raja: These are just for, Greg, not related to this stream.
108 00:10:20.770 ⇒ 00:10:23.080 Awaish Kumar: Okay, they’re not assigned to anyone.
109 00:10:23.820 ⇒ 00:10:26.970 Mustafa Raja: Oh, yeah, oh, I… I’ll do that, honey.
110 00:10:28.290 ⇒ 00:10:34.460 Awaish Kumar: Okay, great. I think then everything is going well here. Finally, moving on to Eden.
111 00:10:36.230 ⇒ 00:10:45.879 Awaish Kumar: So, we have, also worked on this XenoT2GHL for… I can say they are in terms of, for me, they are in client review.
112 00:10:46.450 ⇒ 00:10:48.650 Awaish Kumar: Pretty… I have…
113 00:10:48.780 ⇒ 00:10:56.080 Awaish Kumar: finish my part. I’m waiting on… from… answer from Robert on the next steps, if there’s anything we should be doing, or…
114 00:10:56.320 ⇒ 00:10:59.659 Awaish Kumar: We just hand, like, hand over that to the client.
115 00:10:59.790 ⇒ 00:11:08.100 Awaish Kumar: And, I think in terms of Control Center… It’s kind of,
116 00:11:08.700 ⇒ 00:11:11.950 Awaish Kumar: Internal review, we can say, for now, because there’s nothing…
117 00:11:12.390 ⇒ 00:11:16.319 Awaish Kumar: To be done right now, but we are still going under review.
118 00:11:16.790 ⇒ 00:11:21.349 Awaish Kumar: And, apart from that, I only have one thing which we want to close.
119 00:11:21.640 ⇒ 00:11:28.049 Awaish Kumar: Which is that affluencing, Yeah, how is it going, Ashwani?
120 00:11:29.240 ⇒ 00:11:34.920 Ashwini Sharma: Yeah, so yesterday I had a chat with, Ellison and These folks,
121 00:11:35.870 ⇒ 00:11:46.220 Ashwini Sharma: She told me… yeah, so the problem is, like, they have not yet updated data in the affluence, right? If they update the data in Fluence, everything will work good. We have almost all the.
122 00:11:46.220 ⇒ 00:11:46.680 Awaish Kumar: In America.
123 00:11:46.680 ⇒ 00:11:47.620 Ashwini Sharma: connected now.
124 00:11:47.880 ⇒ 00:11:54.390 Ashwini Sharma: Yeah. So, I’ve asked them, just update that retainer amount on offluence, that they have to do, because
125 00:11:54.640 ⇒ 00:11:55.989 Ashwini Sharma: If they don’t do it.
126 00:11:55.990 ⇒ 00:12:02.249 Awaish Kumar: Okay, okay. I just want to know the… what has been done, what are the next steps, that’s all.
127 00:12:02.250 ⇒ 00:12:04.930 Ashwini Sharma: Yeah, so I’ve connected all the pieces together now.
128 00:12:05.170 ⇒ 00:12:09.700 Ashwini Sharma: Once they update, we can, you know, we can get it done. That’s the thing.
129 00:12:09.880 ⇒ 00:12:10.450 Awaish Kumar: Okay.
130 00:12:15.750 ⇒ 00:12:20.279 Awaish Kumar: Yeah, is there anything else on… in our analytics engineering side?
131 00:12:21.200 ⇒ 00:12:29.000 Awaish Kumar: I don’t think so. Okay, I think we are good there, here, also. So that’s the end of the stand-up. I would love,
132 00:12:29.930 ⇒ 00:12:34.749 Awaish Kumar: Ashwini, if you can stay for a moment, if we can discuss a little bit in detail.
133 00:12:34.940 ⇒ 00:12:40.070 Awaish Kumar: this Eden ticket, and… Yeah, that’s all from our side. Thank you, everyone.
134 00:12:40.300 ⇒ 00:12:41.640 Brylle Girang: Thank you. Bye-bye.
135 00:12:41.640 ⇒ 00:12:43.239 Mustafa Raja: Thank you, have a good day.
136 00:12:43.750 ⇒ 00:12:44.370 Awaish Kumar: Yep.
137 00:12:45.960 ⇒ 00:12:48.310 Awaish Kumar: Yeah, Ashuni, like, I think…
138 00:12:49.120 ⇒ 00:12:55.099 Awaish Kumar: We are… we are on… we are on NSYNC, that you had, like, they have to actually…
139 00:12:55.470 ⇒ 00:12:59.689 Awaish Kumar: update the data in upflares, but what I just wanted to…
140 00:13:02.190 ⇒ 00:13:06.030 Awaish Kumar: Okay, it’s not possible to do this with active influences.
141 00:13:06.390 ⇒ 00:13:13.740 Ashwini Sharma: So this was the last message. I kind of did a further analysis, and then I got all the pieces together, right? So you can ignore this message now.
142 00:13:13.970 ⇒ 00:13:21.740 Ashwini Sharma: Now, only one activity remains. They need to update that retainer amount on influence for each influencer.
143 00:13:21.830 ⇒ 00:13:24.340 Awaish Kumar: So, we aren’t going to get this or not.
144 00:13:24.700 ⇒ 00:13:30.499 Ashwini Sharma: We are able to… so we are able to get 59 influencers, right, out of 56 that they have.
145 00:13:30.990 ⇒ 00:13:34.550 Ashwini Sharma: And there’s… Yeah.
146 00:13:34.550 ⇒ 00:13:38.160 Awaish Kumar: Yeah, as long as we are correct, that’s okay.
147 00:13:38.380 ⇒ 00:13:47.630 Ashwini Sharma: Yeah, we are correct now. We are correct for a particular campaign, we are getting all the influencers. What we are not getting is the returner amount, because that is not yet updated in the
148 00:13:47.820 ⇒ 00:13:49.090 Ashwini Sharma: Hopefully.
149 00:13:49.090 ⇒ 00:13:50.700 Awaish Kumar: Right?
150 00:13:50.700 ⇒ 00:14:00.780 Ashwini Sharma: We have the list of orders for each influencer, right? We have the commission rate for each influencer, so we can calculate the commission amount based on the number of orders that have been placed.
151 00:14:01.100 ⇒ 00:14:07.680 Ashwini Sharma: And if we get the returner amount, it will be easy to then send data to our friends.
152 00:14:07.680 ⇒ 00:14:08.130 Awaish Kumar: Bye.
153 00:14:08.130 ⇒ 00:14:08.730 Ashwini Sharma: talk to him.
154 00:14:08.730 ⇒ 00:14:11.230 Awaish Kumar: You have sent this message out, right?
155 00:14:11.820 ⇒ 00:14:14.489 Awaish Kumar: In the Slack channel, right?
156 00:14:14.890 ⇒ 00:14:18.450 Ashwini Sharma: This is basically just for us, not… I didn’t send it out.
157 00:14:18.450 ⇒ 00:14:23.700 Awaish Kumar: No, I mean, this is, like… did you already ask them to update their retailer amount?
158 00:14:23.700 ⇒ 00:14:26.309 Ashwini Sharma: Yeah, let me add that.
159 00:14:26.660 ⇒ 00:14:28.380 Awaish Kumar: Do we have any answer?
160 00:14:29.020 ⇒ 00:14:33.210 Ashwini Sharma: She said she will do it and ping me once he’s done.
161 00:14:33.680 ⇒ 00:14:36.270 Awaish Kumar: Okay, that means they are okay in doing that, okay.
162 00:14:36.270 ⇒ 00:14:39.420 Ashwini Sharma: Yeah, and they said they are okay in doing that.
163 00:14:39.810 ⇒ 00:14:53.759 Awaish Kumar: Okay, well, they said they will do it in means, like, now we know that they have said it, so we can just… I can put this in block until she replies to you. Once she replies, you can take it from there.
164 00:14:53.960 ⇒ 00:14:57.810 Ashwini Sharma: Yeah, I’ve just added the last message, if you scroll down.
165 00:14:59.100 ⇒ 00:14:59.890 Awaish Kumar: Okay.
166 00:15:02.360 ⇒ 00:15:03.160 Awaish Kumar: Okay.
167 00:15:03.260 ⇒ 00:15:05.999 Ashwini Sharma: So, once she…
168 00:15:06.310 ⇒ 00:15:08.190 Awaish Kumar: Brings in the data for the…
169 00:15:08.630 ⇒ 00:15:11.379 Awaish Kumar: And then we can actually make all our calculations.
170 00:15:11.380 ⇒ 00:15:11.970 Ashwini Sharma: Yep.
171 00:15:12.270 ⇒ 00:15:20.320 Awaish Kumar: And send it back. Okay, great. I think this is moving. But I’m putting in block because when… if…
172 00:15:20.320 ⇒ 00:15:21.150 Ashwini Sharma: I’m blocked.
173 00:15:21.150 ⇒ 00:15:21.790 Awaish Kumar: Isn’t it?
174 00:15:22.130 ⇒ 00:15:25.600 Awaish Kumar: If Robert says it, he knows that we are blocked on client.
175 00:15:25.600 ⇒ 00:15:25.980 Ashwini Sharma: Yep.
176 00:15:26.140 ⇒ 00:15:30.360 Awaish Kumar: So, that’s why I just put it in block. Once you have the…
177 00:15:30.680 ⇒ 00:15:33.590 Awaish Kumar: The answer, you can put it back to an in-progress.
178 00:15:33.740 ⇒ 00:15:34.310 Ashwini Sharma: Oh, okay.
179 00:15:36.480 ⇒ 00:15:46.989 Awaish Kumar: Okay, all good here, I think. So, next piece is CTA. I’m not sure how, like, are you… are you working on something on CTA right now?
180 00:15:46.990 ⇒ 00:15:52.270 Ashwini Sharma: Right now, I’m just working on Magic Spoon, nothing on… Huh.
181 00:15:52.270 ⇒ 00:15:52.700 Awaish Kumar: Okay.
182 00:15:52.700 ⇒ 00:15:53.640 Ashwini Sharma: CTU.
183 00:15:53.960 ⇒ 00:15:56.400 Awaish Kumar: Okay, I’m, I’m, like…
184 00:15:56.550 ⇒ 00:16:05.980 Awaish Kumar: trying… I was trying to get something from her transcript and, like, try to come up with a plan for our next, modeling.
185 00:16:06.080 ⇒ 00:16:22.120 Awaish Kumar: But in the… just looking at the transcript was not that helpful. I needed that report, so I just sent her. So I think once we have both, we can actually have much better tickets, so we can go on… go in and try to…
186 00:16:22.470 ⇒ 00:16:25.800 Awaish Kumar: and get the data. And also, she said that she has some queries there.
187 00:16:26.010 ⇒ 00:16:36.869 Awaish Kumar: So I will figure out where are they. So, once everything is there, I think we… in today and tomorrow, we have two days we can deliver quite a lot of things on CDA.
188 00:16:37.180 ⇒ 00:16:42.490 Ashwini Sharma: Do you know what happened between CTA and polyatomic thing? Did something go wrong, or…
189 00:16:42.930 ⇒ 00:16:47.229 Ashwini Sharma: Like, why did we decide not to use polyatomic?
190 00:16:48.280 ⇒ 00:16:52.969 Awaish Kumar: I’m not sure. I… I have not been in the dial. I don’t know, did we even use that?
191 00:16:53.380 ⇒ 00:16:54.520 Awaish Kumar: Because…
192 00:16:54.520 ⇒ 00:16:55.130 Ashwini Sharma: Oh, I see.
193 00:16:55.510 ⇒ 00:16:59.989 Awaish Kumar: Just using files that you are bringing in from S3, right?
194 00:16:59.990 ⇒ 00:17:01.269 Ashwini Sharma: We never use it.
195 00:17:01.820 ⇒ 00:17:15.170 Ashwini Sharma: No, like, initially for the Salesforce Marketing Cloud, right, we asked them to create a connector, right, Polytomic, but they never came back, right? I had updated them once, and they said, like, by February, we should be done.
196 00:17:15.650 ⇒ 00:17:22.620 Ashwini Sharma: But then they didn’t do it. And then in the meantime, we also had to ingest Shopify data. Now, Shopify Connector already exists in Polyatomic, right?
197 00:17:22.869 ⇒ 00:17:25.869 Ashwini Sharma: But somehow we have decided not to do that also.
198 00:17:26.569 ⇒ 00:17:31.359 Awaish Kumar: I think because maybe they didn’t… because they didn’t,
199 00:17:31.649 ⇒ 00:17:36.429 Awaish Kumar: delivered it, other things, maybe CT decided, but I don’t know, I don’t have an answer. I don’t know.
200 00:17:36.869 ⇒ 00:17:41.089 Awaish Kumar: Fivetran is part of Snowflake Marketplace also.
201 00:17:41.769 ⇒ 00:17:46.479 Awaish Kumar: So let’s see, like, if we have an answer on, you know, 5 trends, sorry.
202 00:17:46.839 ⇒ 00:17:48.019 Awaish Kumar: And,
203 00:17:48.929 ⇒ 00:17:54.359 Awaish Kumar: That, like, yeah, that is one of the things. I don’t know, like, you suggested one other tool also.
204 00:17:56.450 ⇒ 00:17:58.330 Ashwini Sharma: Airbite, yeah, local, locally.
205 00:17:58.330 ⇒ 00:17:58.710 Awaish Kumar: Oh.
206 00:17:58.710 ⇒ 00:17:59.880 Ashwini Sharma: Yeah, so basically…
207 00:17:59.880 ⇒ 00:18:16.199 Awaish Kumar: Local AirByte, that is… I’m only concerned about one thing. I have used open source tools and AirByte as well. Everything goes well in the beginning, but if a lot of ingestion depends on air byte, and you local it
208 00:18:16.540 ⇒ 00:18:19.270 Awaish Kumar: You manage it, locally.
209 00:18:19.430 ⇒ 00:18:23.399 Awaish Kumar: And the problem is then, if, there are any…
210 00:18:23.980 ⇒ 00:18:30.650 Awaish Kumar: issues in deployments, or things like that. Like, because there is a maintenance of that as well, that comes.
211 00:18:30.650 ⇒ 00:18:34.689 Ashwini Sharma: Yeah, it’s only a temporary workaround solution to get the data inside, right?
212 00:18:35.020 ⇒ 00:18:42.210 Ashwini Sharma: See, that’s what I mentioned. Yeah, that was okay, I think. It’s just a temporary, I’ll never suggest that thing for a permanent.
213 00:18:42.210 ⇒ 00:18:42.710 Awaish Kumar: Yeah.
214 00:18:42.710 ⇒ 00:18:43.489 Ashwini Sharma: ETL tool.
215 00:18:43.550 ⇒ 00:18:48.300 Awaish Kumar: Yeah, I think that was fine, because that will give us a lot of connectors, right?
216 00:18:48.520 ⇒ 00:18:56.780 Ashwini Sharma: Yeah, yeah, that’s… and even for finators that do not exist, right? We can create one, you know, temporary connector and then start getting data using AirByte.
217 00:18:57.880 ⇒ 00:19:10.329 Ashwini Sharma: The problem was, like, Catherine is not able to decide, or maybe she has some budget constraints, or… I don’t know what’s the reason, right? But they are not able to say, okay, I want to use this one, right?
218 00:19:11.190 ⇒ 00:19:14.979 Ashwini Sharma: neither for Atomic, nor Fivetran, nor AirByte Cloud, nothing.
219 00:19:15.520 ⇒ 00:19:18.659 Awaish Kumar: So why not… there are some… there are also some managed…
220 00:19:18.880 ⇒ 00:19:22.330 Awaish Kumar: tools on AWS, so why not utilizing them?
221 00:19:22.800 ⇒ 00:19:25.649 Ashwini Sharma: Manage tool on AWS, like, what.
222 00:19:25.650 ⇒ 00:19:28.199 Awaish Kumar: We have Airflow, managed Airflow on AWS.
223 00:19:28.200 ⇒ 00:19:31.299 Ashwini Sharma: Now, Airflow is for orchestration, right? It’s not for data ingestion.
224 00:19:32.580 ⇒ 00:19:35.649 Awaish Kumar: Yeah, but, can be used for that.
225 00:19:36.320 ⇒ 00:19:37.030 Awaish Kumar: Come on.
226 00:19:37.030 ⇒ 00:19:44.810 Ashwini Sharma: You have to write your scripts and then orchestrate it through Airflow, right? Somewhere you have to run it. Yeah, the connector is also, right, built in, like, you can say…
227 00:19:44.830 ⇒ 00:19:50.989 Awaish Kumar: Copy tables, and you can… But, yeah, yeah.
228 00:19:50.990 ⇒ 00:19:57.240 Ashwini Sharma: If you have to extract data from API, then it’s good to, like… Their primary sources are Salesforce, Salesforce Marketing.
229 00:19:57.240 ⇒ 00:20:00.500 Awaish Kumar: There’s also AWS Glue, right?
230 00:20:01.230 ⇒ 00:20:10.299 Ashwini Sharma: Yeah, we should use Glue. I think there will be a lot of scripting involved, right? And Glue also does not provide a ready-made connector to extract data from Marketing Cloud.
231 00:20:10.300 ⇒ 00:20:13.939 Awaish Kumar: connectors. I don’t… I’m not sure if it was glue or…
232 00:20:14.140 ⇒ 00:20:19.580 Awaish Kumar: I’m forgetting the name, but there was something I was able to actually
233 00:20:19.950 ⇒ 00:20:36.250 Awaish Kumar: It’s like, like, on… I… I think I’m remembering the service name correctly. Like, there was some, like, redoing polyatomic or 5AM. Built-in connectors used for moving, for example, FTP files, or to S3, or from S3 to FTB.
234 00:20:36.380 ⇒ 00:20:38.310 Awaish Kumar: Is it… it is possible here.
235 00:20:39.880 ⇒ 00:20:41.570 Ashwini Sharma: No, I’ve never used glue.
236 00:20:42.070 ⇒ 00:20:43.819 Ashwini Sharma: Let’s see if it’s that…
237 00:20:53.790 ⇒ 00:20:55.999 Awaish Kumar: What, what is the source in the street?
238 00:20:56.000 ⇒ 00:20:57.630 Ashwini Sharma: Salesforce? Salesforce?
239 00:21:00.160 ⇒ 00:21:01.920 Awaish Kumar: The search for Salesforce?
240 00:21:02.460 ⇒ 00:21:03.680 Awaish Kumar: Yeah, there is.
241 00:21:03.850 ⇒ 00:21:06.230 Ashwini Sharma: Okay, commerce plot. Oh, marketing plot, it is there, yeah.
242 00:21:08.460 ⇒ 00:21:14.640 Awaish Kumar: So we have Salesforce, and also, I think, This is for source.
243 00:21:14.790 ⇒ 00:21:18.010 Awaish Kumar: sources. How can I find destinations?
244 00:21:18.740 ⇒ 00:21:19.880 Ashwini Sharma: Targets, yeah.
245 00:21:20.050 ⇒ 00:21:21.380 Ashwini Sharma: Targets, targets.
246 00:21:22.370 ⇒ 00:21:24.560 Awaish Kumar: I can see if I go… Snowflake is also there.
247 00:21:24.560 ⇒ 00:21:25.660 Ashwini Sharma: Like, yeah, it is there.
248 00:21:27.020 ⇒ 00:21:30.549 Awaish Kumar: What else?
249 00:21:30.890 ⇒ 00:21:33.670 Awaish Kumar: if we need to bring into SFDP.
250 00:21:34.500 ⇒ 00:21:38.170 Ashwini Sharma: No, just try Snowflake, I think Snowflake to SFT should be straightforward.
251 00:21:38.550 ⇒ 00:21:48.320 Awaish Kumar: No, I’m just looking for target… like, all the targets, not specific to any… There’s no FTP.
252 00:21:50.180 ⇒ 00:21:52.160 Awaish Kumar: or SFTP, nope.
253 00:21:54.700 ⇒ 00:21:56.430 Awaish Kumar: And maybe it is in source.
254 00:22:02.520 ⇒ 00:22:05.710 Awaish Kumar: Hmm, I don’t… it doesn’t say anything.
255 00:22:05.970 ⇒ 00:22:06.899 Ashwini Sharma: Oh, my God.
256 00:22:06.900 ⇒ 00:22:07.650 Awaish Kumar: 50 flips.
257 00:22:07.650 ⇒ 00:22:08.820 Ashwini Sharma: FTV are not there.
258 00:22:09.590 ⇒ 00:22:10.270 Awaish Kumar: Okay.
259 00:22:11.260 ⇒ 00:22:12.340 Awaish Kumar: Final document.
260 00:22:14.280 ⇒ 00:22:18.470 Awaish Kumar: But we have Salesforce as a source.
261 00:22:18.660 ⇒ 00:22:20.010 Awaish Kumar: And we have…
262 00:22:20.110 ⇒ 00:22:21.240 Ashwini Sharma: No, I guess.
263 00:22:21.240 ⇒ 00:22:24.020 Awaish Kumar: As a source. This is source, right?
264 00:22:24.130 ⇒ 00:22:26.269 Awaish Kumar: This is targeted, so we have both.
265 00:22:26.640 ⇒ 00:22:31.379 Awaish Kumar: Yeah. We have it as a source and as a target, so we can just use this for both.
266 00:22:32.840 ⇒ 00:22:34.629 Ashwini Sharma: Yeah, we can try using this,
267 00:22:35.720 ⇒ 00:22:42.510 Ashwini Sharma: Yeah, let me try it sometime, once I’m done with Magic Spoon, partially done with Magic Spoon, thank you.
268 00:22:42.510 ⇒ 00:22:47.180 Awaish Kumar: Can I just write a message asking If we…
269 00:22:47.180 ⇒ 00:22:51.779 Ashwini Sharma: Drop it, drop it, no? Yeah, yesterday I had suggested one thing, she didn’t want to utilize that, right?
270 00:22:51.890 ⇒ 00:22:55.950 Ashwini Sharma: I don’t know if she’s okay with the glue or not, but let’s drop that message.
271 00:22:55.950 ⇒ 00:22:57.009 Awaish Kumar: I don’t know.
272 00:22:57.220 ⇒ 00:22:59.489 Awaish Kumar: Okay, let’s… let me write some message.
273 00:22:59.940 ⇒ 00:23:05.890 Awaish Kumar: And, and then we can see. If she says yes, we can use that.
274 00:23:07.750 ⇒ 00:23:08.840 Ashwini Sharma: Yeah, sure.
275 00:23:09.280 ⇒ 00:23:13.369 Awaish Kumar: It’s in Brick Playground. Are you using the same account, or a different one?
276 00:23:13.370 ⇒ 00:23:15.279 Ashwini Sharma: Yeah, Data House Playground, yeah, that’s the one.
277 00:23:15.280 ⇒ 00:23:15.820 Awaish Kumar: Okay.
278 00:23:16.670 ⇒ 00:23:18.010 Awaish Kumar: So, okay.
279 00:23:19.310 ⇒ 00:23:22.020 Awaish Kumar: I think, okay, I think we are good. Thank you.
280 00:23:22.020 ⇒ 00:23:23.540 Ashwini Sharma: Alright. Okay, cool.
281 00:23:24.010 ⇒ 00:23:25.039 Awaish Kumar: Thank you, bye.
282 00:23:25.040 ⇒ 00:23:25.909 Ashwini Sharma: Alright, bye.