From the course: Build a No-Code ETL Pipeline with Google BigQuery

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Introduction to data

Introduction to data - BigQuery Tutorial

From the course: Build a No-Code ETL Pipeline with Google BigQuery

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Introduction to data

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- [Instructor] Let us now download our data and examine it. So, our data is hosted in Kaggle, which is a website where people can share interesting datasets. And I'm on the main page for our dataset here in Kaggle. And you can see that I have my World Stock Prices dataset. Note that in order to download this data, you will need to sign up for Kaggle and then log in, but this is free. So, if I scroll down here, I can see a description for my data. I can see a description of the features, which is another way to say the columns of the dataset, and I can even see some more detail about each column. Now, if you look here on the right, you can see this version number, and if I click on it, I can see that this dataset has different versions. And how this works is that each day a new version of the dataset is published, and every daily version of my dataset contains the whole data. But compared to the previous version, there will be some fresh rows which will show the data from that day. So…

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