I am trying to automate refunds report to google analytics 4. I can't find good documentation on importing this data using analytics management API. I came across https://www.npmjs.com/package/#google-analytics/data which seems to be good for pulling reports from GA but couldn't get a way of doing data import.
I am writing a nodejs script and was hoping someone has encountered this scenario before and could share how they accomplished it. Any help or point in the right direction will be really appreciated.
The alternative to the UA Analytics Management api is the Google Analytics Admin API for ga4
To my knowledge it doesn't support data important at this time the API is still under development it may come in the future there is no way to know.
I would suggest looking at the measurement protocol for ga4 you may be able to use that
Related
im currently working in a module of analysis of stadistics of videos from azure media services. I want to ask how can i get some data like average visualization time, number of visualizations and more stuff like that. im pretty sure it has to exist a very easy way to get this data but i cannot find it. I found that application insights could be useful. I have found that i may have to manually track this information. Im working on .net6. An example of code would be awesome. Thanks in advance!
pd: https://github.com/Azure-Samples/media-services-javascript-azure-media-player-application-insights-plugin/blob/master/options.md
I have found that Application Insights could be useful to my problem. Some classes like TelemetryClient (from the package Microsoft.ApplicationInsights) seems to be useful to my problem, but i cant find clear information about them.
No, there is no concept of client side analytics or viewer analytics in Azure Media Services. You have to track and log things on your own on the client side. App Insights is a good solution for this, and there are some older samples out there showing how to do that with a player application.
Take a look at this sample - https://learn.microsoft.com/en-us/samples/azure-samples/media-services-javascript-azure-media-player-application-insights-plugin/media-services-javascript-azure-media-player-application-insights-plugin/
Just WARNING: it is very old and probably very out of date. I would not use much of the code from that sample, as it is using SDK's from 4 year ago. Just use it as guidance at a high level for what the architecture might look like.
Another solution would be to look to a 3rd party service like Mux.com/Data that can plug into any player framework for client analytics.
I have a sentinel instance running in azure but not enough data to test the full functionality of sentinel.
Doing some research I came across with azure sentinel GitHub:
https://github.com/Azure/Azure-Sentinel/tree/master/Sample%20Data
This has enough sample data for testing and getting my hands dirty and try to understand the full power of sentinel and how to leverage it. But I was wondering if there is a way or option about how to get those csv file (import) into sentinel portal.
I hope my question is clear and if not please don't not hesitate to ask more details.
Thank you so much for any help you can provide.
You can import them as custom logs:
https://learn.microsoft.com/en-us/azure/azure-monitor/agents/data-sources-custom-logs#define-a-custom-log
Additionally, check out the "Training Lab" solution in Content Hub in the Sentinel console. Installing this will populate data.
I was unable to find the SDK for Roku.
Please tell me whether Flurry Analytics SDK is available for RokuSG or not?
If there aren't any SDK's, then please suggest me a way to implement it without the SDK.
Roku does not support Flurry Analytics. As far as I know there are three options for analytics in Roku---
If your intention is basic analytics, Roku provides basic statistics, like installs, visits, streaming data, BrightScript crashes, buffering data etc, about published channel at developer dashboard. You can access it by clicking the “View Analytics” option for any channel seen on the Manage My Channels page of your Developer Dashboard. Remember that this information is available for public channels only. You can find more information here--
https://developer.roku.com/en-gb/develop/platform-features/analytics-support
Using Roku Analytics component library. This library implements Google Analytics, Omniture, Brightcove, and Ooyala Analytics. Its quite easy to implement. You can implement one or more of these analytics solutions. Please check Implementation details at below link--
https://developer.roku.com/en-gb/docs/developer-program/libraries/roku-analytics-component.md
Third and my favorate way is custom implementation of Analytics component, which can be implemented using REST api calls. This is best as you can decide when and for which events you want to capture analytics. Initially it will seem dificult, but once you will dirty your hand in it, you will not go for any other solution.
I have a mobile App, done with Xamarin and I'm looking to implement the backend, but I'm lost because I have a specific need.
My app. should be able to do some "geolocalized" queries, by example :
SELECT * FROM MyProducts Where Category = "Fashion" ORDER BY Distance(Item.Position, Me.Position)
Do you see ?
Is it the way it works? For example, a famous mobile app. like Tinder are looking for peoples around you, is it the way they do that?
But so, for this, I need a database that supports such queries!
About performance, is there a difference with SQL and NoSQL database, pro & cons?
I was looking for Azure, because it seems to be the standard tool for Xamarin, but can't find any information about that kind of queries!
About other possibilities, I have seen... Firebase, etc... I don't know at all!
Any help is welcome
Thanks
From experience I can tell you that Azure does provide a few options that would allow you to work with geospatial data.
The first is Cosmos DB (DocumentDB) and it nicely integrates with Xamarin (https://learn.microsoft.com/en-us/azure/cosmos-db/mobile-apps-with-xamarin)
The second would be Azure Search. The advantage here is that you can use different types of data-sources to work with. (https://azure.microsoft.com/en-gb/resources/videos/azure-search-and-geospatial-data/)
I hope that helps.
I'm looking to utilise the speed of Exasolution with the mapping capabilities of ArcGIS.
Exasolution is an extremely fast database. It has spatial support, but I'd like to be able to render spatial features inside a map. So it could be via some kind of API from Esri, or maybe a third party mapping engine and use WMS/WFS etc.
Anyone had any joy with these products?
Cheers
You will likely have some joy with EXASolution's JDBC driver - EXASolution's Geospatial libraries are built on OpenGIS using the libGEOS libraries, so everything you can do with Postgres should be possible on EXASolution.
I did an introductory Geospatial-on-EXASOL video a while back which may be of interest https://www.youtube.com/watch?v=f6Erp1WWLHw
I would say that your question would get a better response in EXASOL's community section where EXASOL customers and techies can answer specific EXASOL questions. Go to exasol.com/community for more details.
Good luck - and do let me know how you get on
Graham Mossman
Solution Engineer
EXASOL A.G.
I just finished a short knowledge base article which shows you how to connect to ESRI's ArcGIS from within an EXASolution database:
https://www.exasol.com/support/browse/SOL-211
The approach is different from what Graham suggested, as it uses Esri's REST API in combination with Python scripts called from SQL. So, the database connects directly and in parallel to the REST API service, not involving the client at all when it comes to data enrichment.
Hope that helps,
Franz