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What are the three preparation steps required to copy a dataset in BigQuery using the cloud console?

by EITCA Academy / Thursday, 03 August 2023 / Published in Cloud Computing, EITC/CL/GCP Google Cloud Platform, Getting started with GCP, Copying datasets in BigQuery, Examination review

To copy a dataset in BigQuery using the Cloud Console, there are three preparation steps that need to be followed. These steps are essential to ensure a successful and accurate dataset copy. In this answer, we will explore each step in detail, providing a comprehensive explanation of the process.

Step 1: Accessing the Cloud Console
The first step is to access the Cloud Console, which is the web-based interface provided by Google Cloud Platform (GCP) for managing resources and services. To access the Cloud Console, you need to have a GCP account and be granted the necessary permissions. Once you have logged in to the Cloud Console, you will be able to navigate to the BigQuery section.

Step 2: Selecting the Source Dataset
After accessing the Cloud Console, the next step is to select the source dataset that you want to copy. A dataset in BigQuery is a container that holds tables, views, and other dataset-specific metadata. To select the source dataset, you can navigate to the BigQuery section in the Cloud Console and locate the project that contains the dataset. Once you have selected the project, you can expand it to view the available datasets. From the list of datasets, you can choose the one you want to copy.

Step 3: Creating a New Dataset
The final step in the preparation process is to create a new dataset where the copied data will be stored. This new dataset will serve as the destination for the copy operation. To create a new dataset, you can navigate to the BigQuery section in the Cloud Console and locate the project where you want to create the dataset. Once you have selected the project, you can click on the "Create Dataset" button and provide the necessary details, such as the dataset name and optional description. It is important to choose a meaningful and descriptive name for the dataset to ensure clarity and organization.

After completing these three preparation steps, you are ready to proceed with the actual dataset copy operation. In the Cloud Console, you can navigate to the source dataset, select the tables or views you want to copy, and choose the "Copy" option from the context menu. Then, you will be prompted to choose the destination dataset that you created in step 3. Once you have confirmed the copy operation, BigQuery will start copying the data from the source dataset to the destination dataset.

The three preparation steps required to copy a dataset in BigQuery using the Cloud Console are: accessing the Cloud Console, selecting the source dataset, and creating a new dataset as the destination. By following these steps, you can ensure a smooth and accurate dataset copy operation.

Other recent questions and answers regarding Copying datasets in BigQuery:

  • How are the charges calculated for copying datasets between regions in BigQuery?
  • What are the benefits of deleting the old dataset after copying it in BigQuery?
  • What are the options available in the Schedule Options section when creating a dataset copy transfer in BigQuery?
  • How do you copy a dataset using the Copy Dataset icon in BigQuery?

More questions and answers:

  • Field: Cloud Computing
  • Programme: EITC/CL/GCP Google Cloud Platform (go to the certification programme)
  • Lesson: Getting started with GCP (go to related lesson)
  • Topic: Copying datasets in BigQuery (go to related topic)
  • Examination review
Tagged under: BigQuery, Cloud Computing, Cloud Console, Dataset Copy, GCP, Google Cloud Platform
Home » Cloud Computing / Copying datasets in BigQuery / EITC/CL/GCP Google Cloud Platform / Examination review / Getting started with GCP » What are the three preparation steps required to copy a dataset in BigQuery using the cloud console?

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