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Using BigQuery in the Google Cloud Console

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Query a public dataset (dataset: usa_names, table: usa_1910_2013)

Create a new dataset

Query new dataset

Using BigQuery in the Google Cloud Console

40 menit Gratis

GSP406

Google Cloud Self-Paced Labs

Overview

Storing and querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. 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 access BigQuery through the Cloud Console, the 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. In this lab you access BigQuery using the Cloud Console.

Using BigQuery in the Cloud Console will give you a visual interface to complete tasks like running queries, loading data, and exporting data. This hands-on lab shows you how to query tables in a public dataset and how to load sample data into BigQuery through the Cloud Console.

What you'll do

In this lab you:

  • Query a public dataset

  • Create a custom table

  • Load data into a table

  • Query a table

Bergabunglah dengan Qwiklabs untuk membaca tentang lab ini selengkapnya... beserta informasi lainnya!

  • Dapatkan akses sementara ke Google Cloud Console.
  • Lebih dari 200 lab mulai dari tingkat pemula hingga lanjutan.
  • Berdurasi singkat, jadi Anda dapat belajar dengan santai.
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