9+ Bigquery 使い方 References

Query BIG with BigQuery A cheat sheet Google Cloud Blog from cloud.google.com

Introduction

BigQuery is a fully-managed, cloud-native data warehouse that can process petabytes of data in seconds. It is a powerful tool that helps businesses make better decisions by analyzing large datasets quickly and easily. With its simple and intuitive interface, BigQuery is becoming increasingly popular among businesses of all sizes.

What is BigQuery?

BigQuery is a cloud-based data warehouse that enables businesses to store, manage, and analyze large datasets. It is a serverless platform that eliminates the need for infrastructure management and maintenance. With its scalability, BigQuery can handle any amount of data and can process complex queries in a matter of seconds.

Getting Started with BigQuery

To get started with BigQuery, you need to sign up for a Google Cloud account. Once you have an account, you can create a project and enable the BigQuery API. You can then use the BigQuery web UI, command-line interface, or API to manage your datasets and perform queries.

Creating Datasets and Tables

To create a dataset in BigQuery, you need to specify a name and location. You can then create tables within the dataset and define their schema. BigQuery supports a wide range of data types, including strings, integers, floats, and timestamps.

Querying Data in BigQuery

BigQuery supports a SQL-like syntax for querying data. You can use standard SQL or legacy SQL depending on your needs. Standard SQL is the recommended syntax and supports advanced features such as window functions and arrays.

Using BigQuery for Data Analysis

BigQuery is a powerful tool for data analysis. With its ability to process large datasets quickly, you can gain insights into your business that were previously impossible. You can use BigQuery to perform complex queries, join multiple tables, and aggregate data.

Integrating BigQuery with Other Tools

BigQuery integrates with a wide range of tools and services, including Google Data Studio, Tableau, and Power BI. You can use these tools to visualize your data and create interactive dashboards.

Costs and Pricing

BigQuery is a pay-as-you-go service that charges based on the amount of data you store and the queries you run. There are no upfront costs or minimum fees, and you only pay for what you use. BigQuery offers flexible pricing options, including on-demand and flat-rate pricing.

Best Practices for BigQuery

To get the most out of BigQuery, it is important to follow best practices. Some of these include optimizing your queries, organizing your datasets, and using partitioned tables. You should also monitor your usage and adjust your pricing plan accordingly.

Conclusion

BigQuery is a powerful tool that can help businesses of all sizes make better decisions by analyzing large datasets quickly and easily. With its simple and intuitive interface, BigQuery is becoming increasingly popular among businesses. By following best practices and integrating BigQuery with other tools, you can gain valuable insights into your business and make data-driven decisions.