I need to merge my GA statistics with external data (stored in SQL but I can expose them by some web service). Perfectly all the data should be available in GA for reporting but I found no solution for import the data into GA.
Do you know any piece of software that can do this and present the merged results in some readable form to the user? It should meet the following requirements:
Should be a web application
Should not be a software-as-a-service solution (will be hosted in infrastructure provided by me)
Should provide some level of automation in data import
Analytics Canvas looks interesting but I wonder if there are any other applications.
Analytics Canvas is indeed a good option, it has really good data extraction and transformation capabilities, and handles nicely any data out of both SQL data sources and the most recent GA API.
Google Analytics allows you import data through the API and manually through the Web Interface. For example this is a very good article on integrating external CRM user data with Google Analytics. But Google analytics also support importing the following types of data:
Product Data
Refund Data
Cost Data
Content Data
User Data
You can also create your own custom dimensions and metrics and import that data into Google Analytics and view the results in your own custom reports.
Related
I'm using web api to import data into powerbi. After every refresh, old data is replaced by new data of web api so my question is how can I store that old data in power bi ?
Power BI will not store data, unless you have a query source that will support incremental refresh.
https://learn.microsoft.com/en-us/power-bi/admin/service-premium-incremental-refresh
It would be best to use a tool like Azure Function, Azure Logic Apps or Power Automate to get the data and save it as file to a folder then import the data from the folder. Other option would be to move the data to a database table to preserve the history.
I would like to improve the quality of existing data by using the Google BigQuery API to help validate the accuracy of existing data.
I dont see information on the types of data elements contained in the BigQuery and dont understand how to use an API if I just want to see what types of data are contained in there.
I tried looking for instructions and data elements in the Google Health Care API and Google BigQuery documentation and only saw how to set up a payment option.
I am a newbie at programming and wanted to do some preliminary research on these data sets prior to bringing them to our technical team.
I expect to see a list of relevant results based on a custom query.
You can see the data types supported
by Google BigQuery here and the conversion between different types here.
Also you can try out the BigQuery APIs in the OAuthPlayGround.
Is there a way if ODATA can be established on top of azure data lake analytics table via REST API's?
It seems there are REST API's to get ADLA job informations, account information etc.,
Is there any such existing API's to get data or is it possible to create API to access data via ODATA concept?
If you want to access data in ADLS files, there are REST APIs to get data from the lake. ADLS supports WebHDFS APIs with OAuth.
If you want to send queries and see their results or get U-SQL table data, you would have to write your own shim that translates the query you submit via your API into a U-SQL Script that outputs a file and then transparently download the file and returns it as the result.
Note that so-called interactive support is on the roadmap and being worked on. Once that is available, you can access the data using standard query APIs (such as ODBC, JDBC etc).
I am new to databases, and have some data stored as entities in Google Cloud Datastore. I would like to be able to analyze and plot this data in a web interface, and it seems like Google Data Studio provides an easy-to-use way to do this. However, I'm a bit confused as to how I can actually use the two interfaces together; it seems like either Google Cloud Storage or Google BigQuery could be a middleman in between, but I'm not sure how this might work. Could anyone advise on whether using Google Data Studio would be the best approach to plotting/analyzing data in Google Cloud Datastore, and if so, offer tips on how I could go about this? There are a large number of tutorials but it seems like none that I've found have explained how to load data from the Datastore into a useable file for Data Studio.
Thanks!
As Graham Polley says, the question is answered here. The workaround to connect Cloud Datastore to Google Data Studio is to first export Datastore entities to BigQuery, as explained in this guide.
Then see this in order to connect Data Studio to BigQuery tables.
Finally in this blog post, there's a tutorial for building a dashboard with Google Data Studio and BigQuery.
I'm a backend developer who has no experience with Google Analytics, but I've a requirement to find a way to collect the Marketing Medium/Source for each user from Google Analytics and save it in my database, I've been searching and looking how to get it from an API request but I didn't find a way yet, could you guys help?
You can use the Google Python API to fetch the Google Analytics data. You can read more here.
Medium and Source information can be found out by using the dimension ga:sourceMedium
You can find more info about dimensions and metrics here
Following which you can setup a daily script and fetches the data from your Google Analytics account and dumps data into csv which you can successively load into your database using libraries such as psycopg2.