[Databeat] Announcement of Free eBook "Introduction to BigQuery for AI-Era Advertising Professionals" Distribution Start
Agit Co., Ltd. has released a free eBook, "Introduction to BigQuery for AI-Era Advertising Professionals," aimed at helping advertising and marketing managers leverage BigQuery for ad data management and AI utilization without needing SQL knowledge, addressing data challenges in the advertising field.
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- 📰 Published: May 1, 2026 at 20:20
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Agit Co., Ltd. (Headquarters: Chiyoda-ku, Tokyo; Representative Director: Yasutatsu Takai; hereinafter “Agit”) has released a free eBook titled “Introduction to BigQuery for AI-Era Advertising Professionals ~Start with Zero SQL, Accumulate, Analyze, and Utilize Ad Data with AI~” for advertising operators and marketing managers, summarizing methods to accumulate ad data in BigQuery, visualize it, and achieve AI utilization even without SQL knowledge.
▼ Background of eBook Release
In the field of advertising operations, structural issues in data management and utilization are becoming more severe:
- Past advertising performance data is not accumulated, making year-on-year comparisons and seasonal trend analysis impossible.
- Management screens are separated by media, requiring manual work every time for cross-sectional comparative analysis.
- Data sources for Looker Studio reports depend on spreadsheets, leading to manual data updates.
- Even when wanting to analyze with AI agents or BI tools, preparing advertising data (CSV download and formatting) is time-consuming.
To fundamentally solve these issues, “BigQuery,” a cloud data warehouse provided by Google, is gaining attention.
By accumulating advertising data in BigQuery, all media data can be centralized in one place, enabling data utilization linked with AI agents and BI tools.
On the other hand, it is a common reality that many advertising operation sites hesitate to adopt BigQuery due to the perception that “BigQuery requires SQL knowledge” or “it cannot be implemented without engineers.”
Based on this background, Agit has produced and released a free eBook that systematically compiles concrete methods to utilize BigQuery even without SQL knowledge.
[Free eBook Release] Introduction to BigQuery for AI-Era Advertising Professionals ~Start with Zero SQL, Accumulate, Analyze, and Utilize Ad Data with AI~
Download the free eBook
▼ Main Contents of the eBook
1. Basic Knowledge of “BigQuery” in the AI Era
Explains everything from an overview of BigQuery to why it is needed in the advertising operations field.
It also touches on common characteristics of advertising agencies where AI utilization is organizationally advanced, clarifying the importance of data infrastructure construction.
2. What can be achieved with BigQuery
Introduces four patterns of concrete methods for utilizing advertising data accumulated in BigQuery.
- Reporting with Looker Studio ── By simply connecting BigQuery data to Looker Studio, a dashboard that automatically updates daily can be built. No need to manually check each media's management screen.
- Conversational Analysis (Data analysis in natural language) ── By creating a data agent on BigQuery, you can analyze simply by asking in Japanese, “Which campaign had the worst CPA last week?” without writing SQL.
- Integration with AI Agents ── Explains three patterns: Claude Code (for engineers), Claude Cowork (for non-engineers), and NotebookLM (free and easy) according to purpose and skill level.
3. How to store data in BigQuery
Introduces how to start with media that can be freely linked using Google's standard functions, such as GA4 and Google Ads.
Conversely, it explains the challenges of media that require self-built API connections, such as Yahoo! Ads, LINE Ads, and TikTok Ads, and introduces Databeat as a solution for automated accumulation of all media.
▼ Recommended for those with these challenges
- Interested in BigQuery but hesitant to adopt due to lack of SQL or database knowledge.
- Only using advertising data for report creation and unable to perform cross-sectional analysis or year-on-year comparisons of past data.
- Want to utilize AI agents for advertising analysis but data preparation is not keeping up.
- Want to centralize advertising data for all projects and enhance the team's analytical and proposal capabilities.
▼ Download the Free eBook
This eBook can be downloaded for free from the following page.
Download the free eBook
Instantly build an advertising data infrastructure with Databeat × BigQuery
Service Site
The easiest way to achieve the BigQuery advertising data accumulation explained in this eBook is through the advertising data infrastructure service “Databeat.”
Databeat integrates with a total of 40 or more advertising media and measurement tools, handling data collection, processing into a unified format, and daily automatic accumulation into BigQuery in a one-stop manner.
It completely eliminates the need for API connection construction and maintenance, and for dealing with differences in data structures between media, allowing BigQuery data accumulation to start with only management screen settings.
Furthermore, the accumulated advertising data...
▼ Background of eBook Release
In the field of advertising operations, structural issues in data management and utilization are becoming more severe:
- Past advertising performance data is not accumulated, making year-on-year comparisons and seasonal trend analysis impossible.
- Management screens are separated by media, requiring manual work every time for cross-sectional comparative analysis.
- Data sources for Looker Studio reports depend on spreadsheets, leading to manual data updates.
- Even when wanting to analyze with AI agents or BI tools, preparing advertising data (CSV download and formatting) is time-consuming.
To fundamentally solve these issues, “BigQuery,” a cloud data warehouse provided by Google, is gaining attention.
By accumulating advertising data in BigQuery, all media data can be centralized in one place, enabling data utilization linked with AI agents and BI tools.
On the other hand, it is a common reality that many advertising operation sites hesitate to adopt BigQuery due to the perception that “BigQuery requires SQL knowledge” or “it cannot be implemented without engineers.”
Based on this background, Agit has produced and released a free eBook that systematically compiles concrete methods to utilize BigQuery even without SQL knowledge.
[Free eBook Release] Introduction to BigQuery for AI-Era Advertising Professionals ~Start with Zero SQL, Accumulate, Analyze, and Utilize Ad Data with AI~
Download the free eBook
▼ Main Contents of the eBook
1. Basic Knowledge of “BigQuery” in the AI Era
Explains everything from an overview of BigQuery to why it is needed in the advertising operations field.
It also touches on common characteristics of advertising agencies where AI utilization is organizationally advanced, clarifying the importance of data infrastructure construction.
2. What can be achieved with BigQuery
Introduces four patterns of concrete methods for utilizing advertising data accumulated in BigQuery.
- Reporting with Looker Studio ── By simply connecting BigQuery data to Looker Studio, a dashboard that automatically updates daily can be built. No need to manually check each media's management screen.
- Conversational Analysis (Data analysis in natural language) ── By creating a data agent on BigQuery, you can analyze simply by asking in Japanese, “Which campaign had the worst CPA last week?” without writing SQL.
- Integration with AI Agents ── Explains three patterns: Claude Code (for engineers), Claude Cowork (for non-engineers), and NotebookLM (free and easy) according to purpose and skill level.
3. How to store data in BigQuery
Introduces how to start with media that can be freely linked using Google's standard functions, such as GA4 and Google Ads.
Conversely, it explains the challenges of media that require self-built API connections, such as Yahoo! Ads, LINE Ads, and TikTok Ads, and introduces Databeat as a solution for automated accumulation of all media.
▼ Recommended for those with these challenges
- Interested in BigQuery but hesitant to adopt due to lack of SQL or database knowledge.
- Only using advertising data for report creation and unable to perform cross-sectional analysis or year-on-year comparisons of past data.
- Want to utilize AI agents for advertising analysis but data preparation is not keeping up.
- Want to centralize advertising data for all projects and enhance the team's analytical and proposal capabilities.
▼ Download the Free eBook
This eBook can be downloaded for free from the following page.
Download the free eBook
Instantly build an advertising data infrastructure with Databeat × BigQuery
Service Site
The easiest way to achieve the BigQuery advertising data accumulation explained in this eBook is through the advertising data infrastructure service “Databeat.”
Databeat integrates with a total of 40 or more advertising media and measurement tools, handling data collection, processing into a unified format, and daily automatic accumulation into BigQuery in a one-stop manner.
It completely eliminates the need for API connection construction and maintenance, and for dealing with differences in data structures between media, allowing BigQuery data accumulation to start with only management screen settings.
Furthermore, the accumulated advertising data...