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Creating Date-Partitioned Tables in BigQuery

Creating Date-Partitioned Tables in BigQuery

1 个小时 5 个积分

GSP414

Google Cloud Self-Paced Labs

Overview

BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

The dataset you'll use is an ecommerce dataset that has millions of Google Analytics records for the Google Merchandise Store loaded into BigQuery. You have a copy of that dataset for this lab and will explore the available fields and row for insights.

In this lab you will query partitioned datasets and create your own dataset partitions to improve query performance and reduce cost.

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分数

—/100

Create a dataset named 'ecommerce'

运行步骤

/ 30

Create a new partitioned table based on date.

运行步骤

/ 35

Your turn: Create a Partitioned Table

运行步骤

/ 35