I have python code executed in Mode 'Python Notebook' and want to migrate the code to Google Cloud Platform.I am using Google Bigquery to load the data in database.
I have found Google DataLab and CoLab(Colaboratory) as an best alternative.Does Jupyter Notebook perform better than these tools?
But my issue is I want to migrate this code one of these tool and visualize this data in Google Data Studio.Is this Possible to visualize?
You can find a good explanation of Cloud Datalab and Colaboratory here.
Jupyter Notebook allows you for visualizing data directly in the created notebook, thanks to the Python libraries. There is no need to use Data Studio for that. Please, take a look for the following example.
If you decide for Google Colaboratory, it can be easily integrated with Data Studio, i.e. you can save predictions from Colab as a Google Sheet, and Google Data Studio will display the data from it on the dashboard. Google Data Studio can connect multiple data sources for reporting. Please, have a look for the following documentation.
Related
I am trying to create a desktop flow that clicks links with only specific characters "WO". I'm having a hard time doing it in power automate. I easily did it with the re module in python.
Would anyone help me on a detailed process on how to do it on power automate? Thanks
I attempted to do it by extracting web data and obtained it as a web data table. I tried doing a python script injection but to no avail.
I have to do a data migration from google sheets to bigquery.
What is the most optimal way to do it? any advice?
Thanks a lot
Try creating a table which uses Google Sheet as a datasource.
https://towardsdatascience.com/connect-bigquery-to-google-sheets-e3c4f1377659
You can migrate data from Google Sheets to BigQuery by using an Add-ons in your Google Sheets. The name of add-ons is BigQuery Uploader for Sheets.
In Google Sheets, go to Add-ons > Get add-ons in the menu and search BigQuery Uploader for Sheets
After the installation, you will see the add-ons.
You can set up your upload definitions.
You can run manual upload or use schedule uploads.
If successful, you will see the "Success" message.
You can see that data in Google Sheets have been migrated successfully to BigQuery.
I am able to use BigQuery table as source and complete the task (screenshot-1) but when i put bigquery view in place of table it throws error(screenshot-2).
screenshot-1
screenshot-2
I see that you are using version 0.14.2 of the Google Cloud Plugin. The support for BigQuery View was added later. You can find the newer version of Google Cloud plugin from the Hub, and you can find Google Cloud Platform. Then on studio, hover over the BigQuery source, click on the change, and select the latest version.
I'm trying to create a word cloud in Google Data Studio. In order to do that as quickly as I can I wanted to use the community visualization. (https://github.com/pcperini/GDS-Word-Cloud , https://marketlytics.com/blog/custom-visualizations-data-studio ).
Unfortunately anytime I try to insert the manifest path (gs://gds-word-cloud-prod) in the community visualization archive, it doesn't find anything.
Do you have any suggestions? Am I doing something wrong? Are these visualization too old?
Currently, the default Vega Chart (in the Community Visualization toolbar) offers a Word Cloud.
Google Data Studio Report to demonstrate as well as a GIF showing the process:
The community visualization you listed gs://gds-word-cloud-prod, is no longer supported, so it will not load. You should try using a different visualization ID.
I want to make a report with data from a dataset shared with me within BigQuery. The problem is when I connect to the database I can only see "My Project" and "Public Datasets".
Power BI screen
BigQuery screen
Is this because I we can't see datasets which are shared with us and which haven't been created by us?
Or is it a problem with the Power BI connector?
To answer your questions:
Q: Is this because I we can't see datasets which are shared with us and which haven't been created by us?
A: You should be able to see datasets that are shared with you even if you haven't created it. If someone shared one with you, you probably got an email saying:
John Doe has shared the BigQuery dataset <PROJECT_NAME>:<DATASET_NAME> with you. To access this dataset, you can use the BigQuery browser tool or the BigQuery command line tool.
When using the BigQuery browser tool, you may need to add project <PROJECT_NAME> for display by following the instructions here.
From this link you can view the steps to perform to add the project from which the dataset has been shared to your own project.
Q: Is it a problem with the Power BI connector?
A: I would suggest you to reach out to the Power BI Support team to have them answer this question since I'm not familiar with this tool.