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BigQuery: Qwik Start - Command Line

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Resources
  • Get Meaningful Insights with Google BigQuery
  • BigQuery: Qwik Start - Qwiklabs Preview
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1 积分

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This lab costs 1 积分 to run. You can purchase credits or a subscription under My Account.

00:30:00

BigQuery: Qwik Start - Command Line

GSP071

Google Cloud Self-Paced Labs

Overview

Storing and querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. Simply move your data into BigQuery and let us handle the hard work. You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

You can access BigQuery by using a Web UI or a command-line tool, or by making calls to the BigQuery REST API using a variety of client libraries such as Java, .NET, or Python. There are also a variety of third-party tools that you can use to interact with BigQuery, such as visualizing the data or loading the data.

This hands-on lab shows you how to use the Command Line Interface to query public tables and load sample data into BigQuery.

Join

  • Temporary Access
  • Catalog
  • Bite Sized
Join To Start
Score

—/25

Run a query (dataset: samples, table: shakespeare, substring: huzzah)

Run Step

/ 5

Run a query (dataset: samples, table: shakespeare, substring: raisin)

Run Step

/ 5

Create a new dataset

Run Step

/ 5

Load the data into a new table

Run Step

/ 5

Run queries against your dataset table

Run Step

/ 5

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