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003 [Hands-on] Setting up billing exports to estimate dailymonthly charges
Abdullah Manzoor
Follow
8/5/2024
Category
😹
Fun
Transcript
Display full video transcript
00:00
In this video, we will see how you can do the setting up billing export to estimate
00:09
your daily or a monthly charge.
00:13
So let me just go to Google Cloud Console and I am inside my billing account, my billing
00:20
account and below just budgets and alerts, we have one billing export.
00:27
So if you want to export all your billing related data at some particular location,
00:32
you can do it from here and that is what you can do with the two different ways.
00:37
One is a BigQuery export and another one is a file export.
00:42
So if you just go to the file export, this particular option Google has already deprecated.
00:48
So obviously you just cannot enable it.
00:51
So they are suggesting that file export is deprecated, please use this BigQuery export.
00:58
So let's just go to BigQuery export and here we can enable and all those billing related
01:06
data will be transferred for the further analysis inside the BigQuery dataset.
01:12
So let me just edit setting.
01:17
And for which particular project you want to do it.
01:19
So let's say I just want to do it for Learn GCP AC project and we don't have any dataset
01:27
so far created inside the BigQuery.
01:30
So what we will do, we will go to BigQuery directly from here and it will redirect us
01:36
to the BigQuery page.
01:40
So here we have projects like a Learn GCP AC guide.
01:44
So what we will do, we will create one new dataset inside that.
01:49
So just click on Create Dataset after selecting this particular project.
01:55
Let's give the name like Billing Underscore Data and let's just skip all other options
02:04
as it is.
02:05
We are not going to change anything.
02:07
And let's just simply create one empty dataset, which is a part of this particular project.
02:13
So you can see Billing Underscore Data kind of dataset got created and let's just go back
02:19
to our billing page.
02:24
And here we need to go to Billing Export.
02:28
So here let's just edit and now after selection of our project for which we want to transfer
02:35
all our billing related data, you can see it has automatically detected that there is
02:40
one table or I would say dataset got created inside this project, Billing Underscore Data.
02:47
Let's just save it.
02:48
So for further analysis, all those billing related data will be exported to this particular
02:54
dataset.
02:56
You can even disable also whenever you want to do it.
02:59
Apart from making this daily cost analysis, you want to enable it, there is one more edit
03:05
setting like SKU.
03:07
So all those SKU pricing related information also, it will dump it.
03:12
So let's just do edit and let me select Learn GCP Guide and here also you can export to
03:21
this particular dataset.
03:23
But for that, you need to enable this API.
03:26
So let's just go to DTS API and we will enable it.
03:32
So it's a BigQuery Data Transfer API.
03:38
So this API is mainly used to transfer data from different SaaS applications to the Google
03:43
query on a schedule or a managed basis.
03:47
Now once this query got enabled or API got enabled, let's go to our billing part once
03:53
again and from here, Billing Export.
04:00
Let's just edit our pricing part.
04:04
And again, I'm going to select this Learn GCP project for which I want to export all
04:09
those data.
04:10
Let's just save it after selection of those particular dataset where we want to dump all
04:15
your data.
04:18
So billing export is, I guess, almost done.
04:22
Next thing what we can do, we can go to this BigQuery and we can just analyze what is there
04:27
inside.
04:28
Now, for time being, currently you won't be able to see any kind of data.
04:33
Oops, there is something goes wrong.
04:36
So let me just save it once again.
04:39
Yeah, they just want to authenticate once again because maybe there is some pricing
04:45
related stuff and they want access for this Google pricing BigQuery export permission.
04:52
So one extra permission, they just want it.
04:55
So just allow it.
04:57
One more permission, view and manage your data in a Google BigQuery, allow, allow it.
05:06
And it will be able to save or indirectly it will enable those settings inside the billing.
05:16
Alright, so both daily cost detail also got enabled and pricing also got enabled.
05:22
Now when you go to BigQuery, you can just search it from your search bar and BigQuery.
05:29
So if you just go to billing data, you can see there is no data currently available.
05:35
But what we will do as we progress along this course, there is a more and more resource
05:41
we will create.
05:42
More and more resource will manage, more and more resource will provision.
05:47
So more and more pricing related information, daily cost related information, everything
05:52
will be generated.
05:53
And this export part will dump all those data here.
05:58
So after provisioning more and more resource, again I will create one more video to show
06:03
you what are the data available at this particular location.
06:07
So remember, this is Learn GCP ACE Guide Projects and inside that there is a data set
06:13
like a billing underscore data.
06:16
Alright, that is how you can export your data or billing data inside the Google BigQuery.
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