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Enhancing BigQuery with AI and ChatBot Features

How Data Scientists and Analyst will benefit through AI

Christianlauer
CodeX
3 min readJan 15, 2025

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Photo by Pete Alexopoulos on Unsplash

Google introduced many new AI features for their Cloud products and services lately — one was for example Google Agentspace.

Also for the Saas Data Warehouse flagship BigQuery Google integrated many AI new features lately. In this article we will look into how you can benefit from these features.

Natural Language Querying Feature

Users can write queries in natural language rather than SQL. Benefit: This feature reduces the learning curve for non-technical users, enabling them to interact with data directly and efficiently. It also speeds up data exploration by eliminating the need for complex SQL syntax. Example: Instead of writing the SQL query:

SELECT COUNT(*) FROM sales WHERE region = ‘North’ AND date > ‘2024–01–01’;

Users could simply ask:

“How many sales were made in the North region after January 1, 2024?”

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Christianlauer
Christianlauer

Written by Christianlauer

Big Data Enthusiast based in Hamburg and Kiel. Thankful if you would support my writing via: https://christianlauer90.medium.com/membership

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