Score:0

GCP | Any documentation around automating and scheduling the data transformation pipelines?

bv flag

I am curious to understand if there is any documentation around automating and scheduling the data transformation pipelines using GCP+BigQuery+JupyterLab.

For instance, if there are 6 BigQuery tables under a project. I would like to design data transformations on these tables with the help of 3 Jupyter Lab files and aggregate the resultant dataframe to produce a BigQuery table with the help of automated pipelines and schedulers.

While I was able to produce the above-mentioned results independently, would love to learn the automated ways with relevant resources.

Thanks in advance.

mangohost

Post an answer

Most people don’t grasp that asking a lot of questions unlocks learning and improves interpersonal bonding. In Alison’s studies, for example, though people could accurately recall how many questions had been asked in their conversations, they didn’t intuit the link between questions and liking. Across four studies, in which participants were engaged in conversations themselves or read transcripts of others’ conversations, people tended not to realize that question asking would influence—or had influenced—the level of amity between the conversationalists.