From the course: Build a No-Code ETL Pipeline with Google BigQuery
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Create table in BigQuery - BigQuery Tutorial
From the course: Build a No-Code ETL Pipeline with Google BigQuery
Create table in BigQuery
- [Instructor] The next step is to create the BigQuery table where we will load and store our data. So I'm once again in the homepage of my Google Cloud project and I will write BigQuery here in the search bar and I will select BigQuery. Now don't worry if you are not familiar with this interface. We will actually explain more in detail later how it works. But for now, what I want you to do is to click on this plus icon over here and then paste the query that I have provided you. Now, I will close this side panel for now and make the text bigger to increase visibility. So let us see what this command is doing. This command will create a new table called stock data, and this table will be stored in the Kaggle stocks dataset. You will remember from our previous video that datasets are like folders that contain our tables. Because the command says create or replace, if the table is already existing, then this command will overwrite it. So be careful when running this command because if…
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How data load will work1m 40s
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Introduction to data4m 44s
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What is Google Cloud Storage?2m 42s
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Put data in Google Cloud Storage3m 35s
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Create table in BigQuery4m 35s
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Introduction to BigQuery Data Transfer Service1m 43s
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How we will manage data6m 4s
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Use Transfer Service to ingest data6m 40s
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Schedule transfers with Transfer Service3m 19s
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Identify data transfer issues6m 18s
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Common issues with data transfer5m 21s
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