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Oscar Aguayo

成为会员时间:2023

青铜联赛

2000 积分
DEPRECATED BigQuery for Marketing Analysts Earned May 1, 2023 EDT
Analyze BigQuery Data in Connected Sheets Earned Apr 28, 2023 EDT
从 BigQuery 数据中挖掘数据洞见 Earned Apr 27, 2023 EDT
DEPRECATED BigQuery Basics for Data Analysts Earned Apr 27, 2023 EDT
Creating New BigQuery Datasets and Visualizing Insights Earned Apr 25, 2023 EDT

Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. 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.

了解详情

Complete the Analyze BigQuery Data in Connected Sheets skill badge to demonstrate that you can use Connected Sheets to access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet.

了解详情

完成入门级技能徽章课程“从 BigQuery 数据中挖掘数据洞见”,展示您在以下方面的技能: 编写 SQL 查询、查询公共表、将示例数据加载到 BigQuery 中、 在 BigQuery 中使用查询验证器排查常见的语法错误,以及通过连接到 BigQuery 数据在 Looker Studio 中 创建报告。

了解详情

Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. 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.

了解详情

This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources. Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you. After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.

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