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BigQuery: Qwik Start - Command Line

BigQuery: Qwik Start - Command Line

30 menit Gratis

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 a serverless, highly scalable cloud 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 the Console, Web UI or a command-line tool using a variety of client libraries such as Java, .NET, or Python. There are also a variety of solution providers that you can use to interact with BigQuery.

This hands-on lab shows you how to use bq, the python-based command line tool for BigQuery, to query public tables and load sample data into BigQuery.

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.
Bergabung untuk Memulai Lab Ini
Skor

—/100

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

Jalankan Langkah

/ 10

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

Jalankan Langkah

/ 10

Create a new dataset (name: babynames)

Jalankan Langkah

/ 20

Load the data into a new table

Jalankan Langkah

/ 20

Run queries against your dataset table

Jalankan Langkah

/ 20

Remove the babynames dataset

Jalankan Langkah

/ 20