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Create Dataset Using Google BigQuery

What is Google BigQuery?​

  • BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence. BigQuery's serverless architecture lets you use SQL queries to answer your organization's biggest questions with zero infrastructure management.

Objectives​

  • Create Dataset using Google BigQuery.

Prerequisites​

  • Google BigQuery Datasource
info

To know how to create datasource using Google BigQuery Click here

Skill Level Required​

  • Basic knowledge about Google BigQuery & SQL.
info

Click here to know more about Google BigQuery.

  1. Refer thie Link to know more about how to create dataset. (Refer till step No-3 for this example)

  2. Enter details as given below:

  • Name: GooglBigQuery1
  • Datasource: Google Big Query
  1. In Query box write code as given;
    SELECT*FROM [BigQ.names_2014] WHERE gender=’M’ ORDER BY count DESC LIMIT 10

Docusaurus Slash Introduction

Note

To know more about terminology of General tab Click here

  1. Go to the Output Columns tab & Preview tab to check.

    Docusaurus Slash Introduction

Note

To know more about terminology of Output & Preview Tab. Click here

  1. Click on submit button & your dataset will be created.

  2. Go to hamburger menu > Master Data > Dataset.

  3. When the user clicks on the Last Updated columns multiple times, they will be able to see the created dataset ‘GoogleBigQuery1’ at the top as below:

    Docusaurus Slash Introduction

  4. When the user double clicks on that dataset the Edit Dataset menu will appear.

  5. User can make changes in the current dataset & update from this menu as per requirement.

    Docusaurus Slash Introduction