Hello guys,
So I am working on this piece of work where I am trying to fetch Google Big Query data in Power BI, however when I do that in normal tabular format, it comes out to be somewhat gibberish.
Something like below:
This is useless to me as I cannot use thi sdata as required.
I stumbled upon a similar post -https://community.powerbi.com/t5/Desktop/How-to-resolve-Nested-Big-Query-Data/td-p/1327846 and can see that it is marked as an Solved, however I am not able to figure out how.
Can anyone please advise how this can be approached please?
P.S- As the data is sensitive, I won't be able to share the data. If there is any other wa, please donot hesitate to suggest.
Thankyou in advance
Solved! Go to Solution.
Finally I reached to a conclusion here where I am Unnesting the columns in Google Big Query, saving them as views and then consuming them in Power BI.
Prerequisite is that you have some background knowledge of writing queries in Google Big Query.
Some information on the queries can be found here:
https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#unnest_operator
Finally I reached to a conclusion here where I am Unnesting the columns in Google Big Query, saving them as views and then consuming them in Power BI.
Prerequisite is that you have some background knowledge of writing queries in Google Big Query.
Some information on the queries can be found here:
https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#unnest_operator
So when I try to download the data in the offline mode as JSON format and the load in Power BI as JSON, it works fine.
So what I am not doing is UNNESTING the data as:
Hi @PC2790
Please check whether there are other tables in the Navigator Pane. Maybe some tables contains proper data.
Best Regards
Caiyun Zheng
Is that the answer you're looking for? If this post helps, then please consider Accept it as the solution . Really appreciate!
Join us for a free, hands-on Microsoft workshop led by women trainers for women where you will learn how to build a Dashboard in a Day!
User | Count |
---|---|
105 | |
77 | |
72 | |
48 | |
47 |
User | Count |
---|---|
158 | |
86 | |
80 | |
68 | |
66 |