Run a query (dataset: samples, table: shakespeare, substring: raisin)
Run a query (dataset: samples, table: shakespeare, substring: huzzah)
Create a new dataset (name: babynames)
Load the data into a new table
Run queries against your dataset table
Remove the babynames dataset
BigQuery: Qwik Start - Command Line
Storing and querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. 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.
이 실습의 나머지 부분과 기타 사항에 대해 알아보려면 Qwiklabs에 가입하세요.
- Google Cloud Console에 대한 임시 액세스 권한을 얻습니다.
- 초급부터 고급 수준까지 200여 개의 실습이 준비되어 있습니다.
- 자신의 학습 속도에 맞춰 학습할 수 있도록 적은 분량으로 나누어져 있습니다.