Is it possible to use ADF pipeline to call MS Graph API (get user by email) by passing a set of userPrincipalName values from a Source (eg: Azure Table Storage)? Please provide an example.
This is what I have tried: I added Office 365 Linked Service. I have a copy data activity to copy data to Table Storage. Then I have added a Web activity. What dataset should I include in the settings? Also, how would I pass values from Azure Table Storage to Web activity?
I have a BigQuery table imported from Google SpreadSheets (created from BigQuery Web UI). I (my Google account) am the owner of both the Sheets and the Cloud projects. I tied to access the BQ table using Python client library (according to the doc), but I met the error error message: Failed to read the spreadsheet. Errors: No OAuth token with Google Drive scope was found. Meanwhile, the authentication works when I query other BQ tables, such as those imported from csv. May I know what I missed? Thanks.
Accessing data hosted within Google Drive requires an additional OAuth scope
Source: https://cloud.google.com/bigquery/external-data-drive
I would like to read and write data to google drive from my google cloud console's AI Notebook. I am currently aware of how to read data from google spreadsheets through my local Python console (using gspread and oauth2client libraries).
I know that I can access bigquery data from AI notebooks using pandas_gbq without providing any credentials. Is there any similar method for google sheets as well?
Thanks in advance!
I am trying to develop an application, where I where fetching data from multiple clients related to some transactions. Now I want to make some analysis using the Google Spreadsheet. Is there any way by which I can achieve this using the ASP.Net MVC(using C#). Google provides OAuth and When I implement the code and when I am trying to send the data to Google spreadsheet which I receive form the clients. However, when I am doing that, for every new client, Google asks for login credential. Client enter their own credentials, and the Google sheet instead a common sheet, client own sheet is used. Thus, my purpose is not solved. Is there any way possible to do this. I does not seem to find proper documentation on Google as well. Please provide some suggestions to implement this. Thanks in advance.
This can be done very easily if you just want a read only database.
You must publish your Google Sheet to the web and, from its url, copy its id.
For example my sheet has this url: https://docs.google.com/spreadsheets/d/1IHF0mSHs1HdYpIlIzYKG3O8SnAhKU_a6nEJSz04Togk/edit
The long alphanumeric string in the middle is my sheet id. Copy it and place it instead of XXXX in the following url, as follows:
https://spreadsheets.google.com/feeds/list/XXXX/1/public/basic?alt=json"
So the final url would look like this:
https://spreadsheets.google.com/feeds/list/1IHF0mSHs1HdYpIlIzYKG3O8SnAhKU_a6nEJSz04Togk/1/public/basic?alt=json
Then you can simply access this url and get all your data as json.
Using jQuery:
var $url = 'https://spreadsheets.google.com/feeds/list/1IHF0mSHs1HdYpIlIzYKG3O8SnAhKU_a6nEJSz04Togk/1/public/basic?alt=json';
$.getJSON($url,function(data){
alert(JSON.stringify(data.feed.entry));
});
You will get a long json structure. The relevant data is in data.feed.entry. There you'll have many entries. On each one you'll have a "content" property and within it, a "$t" one. These will give you all the cells.
So for getting the first row, you will have to get data.feed.entry[0].content.$t.
Hope it helps.
This can be accomplished using Google Apps Script. In particular, you can achieve this with a "bound" script in Google Sheets (i.e. a script that was created in the context of the sheet that you wish to create as the "backend") that you then publish as a "web app" script. When you publish it, you can make it execute with the authority of the owner of the spread sheet (rather than the authority of the user who invokes the url), which will not require the end user to explicitly authorize themselves (since it is the script publisher's credentials, not the user's credentials, that are being used).
It should be noted that, while this (and generally building on top of Google Apps Script) is a reasonable approach for small-to-medium apps, you'll probably find using Google Cloud Platform (and, in this particular case, the Cloud Datastore) as the better, more scalable solution for small-to-large apps. That is, if you are prototyping or creating an internal tool that is unlikely to catch fire overnight, I'd go with whichever approach you find more convenient / simpler; if you are creating an app that could potentially experience a "success disaster", I'd go with Cloud Platform, instead.
If your sheet is public, you can do it withouth authentication. You can use google API Visualization with the query language or use the Google Sheets API.
But if your sheet is private, it is mandatory the use of OAuth2 authentication through service account credentials.
In order to do that, you have to create a service account (with owner of the project role for example). Then you have to download the client_secret.json file which will be the one you use in your code.
Finally you have to share your spreadsheet with the email you get in this file. Look in the file and you will see it.
I have made a tutorial. You can visit at http://edba.xyz/google-sheets-as-database. It is mainly based in PHP but it is easily trasportable to
other languages.
I have recently been developing a website using google sheet as backend. It is great. The speed is also appreciable.
I have integrated the custom backend which I wrote on google apps script with my Django app. So now my website stores the user information on google sheets. The google sheet code and Django app interact via Rest API which can be easily developed using doGet() and doPost() in apps script and python request on the Django side. Once the necessary structure is built( it does take some time tweaking if you are new) but then it works as a great database for your website.
Google spreadsheet is a great solution for quick prototyping database and even in some cases for production use.
People have already realized the potential and there are many tools today for turning your Google spreadsheet into a backend api
There are couple of libraries such as node-sheets for obtaining a json feed from a Google spreadsheet (read-only)
Also, if you need a complete standalone service you have some paid options like
https://sheetsu.com
And also open source options such as
https://github.com/scheduleonce/express-sheets
This can be installed on any cloud provider via Docker and you can point it to your spreadsheet and it will dynamically turn it into an api.
So if, for example, your spreadsheet has the following sheets:
| articles | products | users |
It will automatically create the 3 endpoints
GET /articles
GET /products
GET /users
It is suitable for read-only apis (you update the spreadsheet directly, not through code) that don't need to be changed too often (although you can control the update interval)
You can use Kodem.io.
Google Sheets As Backend allows you to do CRUD requets using Google Sheets.
Disclaimer: I work at Kodem
I am working on web application for visualization and learning feasibility of using JSAPI in application to pull in reports from tableau.
My understanding on topic is limited from online reads of dev doc and demo.
- Author creates reports, dashboards, workbooks on tableau desktop/server and publishes it on tableau server.
- Tableau server will require a license for author personnel account.
- Web application can use JSAPI to access those reports, workbooks or dashboards.
Is my understanding correct?
Does does every user of web application needs separate credentials to view reports on app?
You can use a single account for accessing reports in your web application as long as you do not want to have some specific reports for particular users.