Chapter 1: Introduction to Connected Sheets

Google Sheets has long offered integration with BigQuery, but recent enhancements have significantly improved its functionality. Google has now increased the maximum number of rows that can be returned in Connected Sheets to the following limits:

• Pivot tables can now handle up to 50,000 rows, up from 30,000.
• Data extracts have also been raised from 25,000 to 50,000 rows.

This update is particularly beneficial, as it allows users to export query results into Google Sheets, Excel, or CSV formats for further analysis, sharing, or reporting to various business stakeholders.

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Chapter 2: Practical Applications of the Upgrade

When working with large datasets, particularly in Data Science contexts involving IoT or social media, reaching these new limits is quite common. Similarly, business operations such as auditing and controlling may also require managing substantial data volumes. This upgrade opens up numerous use cases that can now be efficiently addressed using Google Sheets, simplifying data sharing across departments and enabling users to utilize familiar Google Sheets tools instead of SQL.

This might seem like a minor enhancement, but such updates often transform business applications, making them much more accessible. Additionally, team members who may not have access to BigQuery can still work with the data directly in Google Sheets, potentially leading to reduced query costs.

Connected Sheets | Full Tutorial - YouTube Learn how to maximize the capabilities of Connected Sheets and streamline your workflow.

How to Link Data Between Sheets and Spreadsheets in Google Sheets - YouTube Discover effective methods to link data between various Google Sheets for better data management.

Chapter 3: Additional Features and Updates

For those interested in what else Google has been up to regarding BigQuery, here are a few notable updates:

• BigQuery Studio: Recently launched, this feature simplifies data analysis and scientific tasks.
• Integration with Earth Engine: Users can now query satellite imagery and geospatial datasets using SQL.
• Array Subscript Operator: This new operator allows direct querying of arrays by index.

Sources and Further Readings

[1] Google, BigQuery release notes (2023)