Is there a way in Google Data Studio to dynamically add data source to a visualisation.
I'm able to create a line chart visualisation by making a Google Cloud Storage data connection.
But can i make that data connection dynamic?
If you are using the Cloud Storage Connector for Google Data Studio, the data should be always up to date although you might not see it due to the cache.
This is mentioned in this document, you can also check if you can alter the "Data Freshness" of the connector by following these instructions.
Hope you find this useful!
Related
I have data getting stored in Google firebase (i.e. output of google vision API). I need the same data to get stored in MongoDB which is running on AWS. Is there a connectivity possible between Google cloud and AWS for data migration?
There is no out of the box solution for what you're trying to accomplish. Currently Firestore supports exporting it's data as documented here though the format of the export is probably not something MongoDB could import right away. Even if the format was compatible you would need some kind of data processing pipeline to handle the flow from side to side.
Depending on how you're handling the ingestion of Vision API results you might be able to include code to also send that data to MongoDB. If that's not the case you might need to design a custom solution for this particular use case.
I'm trying to ingest data of my Google Ads account into a Cloud Data Fusion pipeline, but I just see that are only available 12 sources (BigQuery, Amazon S3, File, Excel, Kafka Consumer, etc)
Does anybody know if there are a way to connect directly via API? Or need I a paying solution as extractor of the data?
Many thanks!
Are you looking to ingest data from Analytics 360? https://marketingplatform.google.com/about/analytics-360/
Cloud Data Fusion does not have this connector but we will have this available in the future.
An update, now you can go to HUB on the top right corner and choose your data source such as Google ads or Google analyticsenter image description here
I'm creating a pipeline in Google Data Fusion that allows me to export my bing-ads data into Bigquery using my bing-ads developer token. I couldn't find any data sources that should be added to my pipeline in data fusion. Is fetching data from API calls even supported on Google Data Fusion and if it is, how can it be done?
HTTP based sources for Cloud Data Fusion are currently in development and will be released by Q3. Could you elaborate on your use case a little more, so we can make sure that your requirements will be covered by those plugins? For example, are you looking to build a batch or real-time pipeline?
In the meantime, you have the following two, more immediate options/workarounds:
If you are ok with storing the data in a staging area in GCS before loading it into BigQuery, you can use the HTTPToHDFS plugin that is available in the Hub. Use a path that starts with gs:///path/to/file
Alternatively, we also welcome contributions, so you can also build the plugin using the Cloud Data Fusion APIs. We are happy to guide you, and can point you to documentation and samples.
My company recently transitioned to IBM Connections and has closed down a few features like Box.com.
IBM Connections can also store files, but when uploading them, I cannot connect Tableau to them directly as the file path is a URL and Tableau cannot get files from URLs.
I've tried to load it in Power Query and then load it in Tableau but then I need to find a way to refresh the file while the original Excel file gets edited.
Any suggestions how can I get a live connection from IBM Connections Docs > Tableau Server?
I don't believe a live connection is possible. However, it looks like IBM provides a robust api. Depending on your requirements, you could script something that writes out a json file. Then use tableau to refresh the json as an extract on a schedule. Another possibility is the Web Data Connector.
I am installed and added data source (web data connector) inside tableau
Web data connector URL : http://localhost/datasouceexample/example.html
we data connector holds some data.
import data from web data connector and created graphs using the data's from the web data connector URL .Generated graph and saved in "tableau public" option.
Embed the code inside my web application . Graphs shows perfectly.
My question is about the automatic data updation .
1 ) I want to update graph automatically based on the value from web data connector URL
2 ) If any new updations are inside input datas (new inputs) , automatically sync with tableau and update the graph,so no changes in the embed code and graph updated automatically
Any settings available inside tableau for do this section? if it is possible ? Thanks
Only dashboards with a google sheets datasource can be automatically updated on Tableau Public. Maybe you could redesign your web service to write to a google sheets doc. If so, you could republish your dashboard to sync with that doc.
The scenario you are describing is not possible using Tableau Public (the free version of Tableau software) and the web data connector. Tableau Public does not support updating web data connector data once published on Public, you would need to refresh the data from your desktop application and republish.
The closest supported path to your use case would be, as Kara_F mentioned in the comments, to use Tableau Server. With that product, you can create web data connector datasources and publish them to your Server. You can then schedule a refresh job which will update your data at a certain interval. More info for keeping WDC data up to date can be found here: http://onlinehelp.tableau.com/v0.0/server/en-us/datasource_wdc.htm.