From the course: Build a No-Code ETL Pipeline with Google BigQuery
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The BigQuery interface - BigQuery Tutorial
From the course: Build a No-Code ETL Pipeline with Google BigQuery
The BigQuery interface
- [Speaker] Before we start processing our data, let us see how the BigQuery interface works. I'm on the BigQuery homepage here, and this section is called BigQuery Studio, which you can also see in this panel on the left. And this is where you'll spend most of your time when you work with BigQuery. On your left, you can see the explorer panel where you can explore and access your data. Like we explained previously, in BigQuery, data is organized by projects, datasets, and tables. So what I see here is my project, and if I open it, I can see that I have several data sets. And if I open our Kaggle stocks data set, I can see the stock data table. There is also a search bar that I can use for more targeted search. Now when I select my table, it will open the table view over here. So the table view has several panels. The first panel is the schema, and this is showing the structure of the table, specifically, it shows the name of each column and the data type of each column. The details…
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