[Databeat] Free Webinar on June 17: Master BigQuery for Ad Data with Zero SQL Knowledge
Ajito Inc. will host a free webinar on June 17, 2026, for advertising professionals. Participants will learn how to accumulate, visualize, and use ad data with BigQuery without any SQL or programming knowledge.
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Ajito Inc. (Chiyoda-ku, Tokyo; CEO: Yasutatsu Takai) will host a free webinar titled "Learn by Seeing! Introduction to BigQuery for Ad Professionals in the AI Era: Starting with Zero SQL—Accumulation, Analysis, and AI Utilization of Ad Data" on Wednesday, June 17, 2026. This session is designed for ad operators and marketing professionals to systematically learn how to leverage BigQuery without technical expertise.
### Background of the Webinar
With the advancement of AI agents and BI tools, it has become crucial not just to analyze ad data but to prepare it in a format ready for AI/BI utilization. However, many marketing departments face challenges such as lack of historical data, manual aggregation across platforms, high maintenance for Looker Studio reports, and time-consuming data cleaning for AI analysis.
While Google BigQuery is a powerful solution, many feel hesitant to adopt it, believing it requires SQL or engineering resources. To address this, Ajito is hosting a 'Learn by Seeing' webinar based on their popular eBook, featuring live demonstrations.
The 60-minute session will cover BigQuery basics, live demos of usage, and how to use 'Databeat'—an ad data platform that automatically accumulates data from over 40 channels without custom API builds.
### Webinar Goal
By the end of the session, participants will understand how to accumulate ad data in BigQuery and utilize it with Looker Studio and AI agents, even without SQL or programming knowledge.
### Who Should Attend
- Those wanting to unify and analyze data from multiple ad platforms.
- Users of Looker Studio seeking to automate manual data updates.
- Professionals interested in AI-driven data utilization but lack SQL skills.
- Those looking to use AI agents like Claude Code for ad data analysis.
### Event Details
- **Title:** Learn by Seeing! Introduction to BigQuery for Ad Professionals in the AI Era
- **Date & Time:** Wednesday, June 17, 2026, 12:00–13:00 (Live Stream)
- **Venue:** Online (Archive available for registrants)
- **Admission:** Free
- **Capacity:** 500 attendees
### Background of the Webinar
With the advancement of AI agents and BI tools, it has become crucial not just to analyze ad data but to prepare it in a format ready for AI/BI utilization. However, many marketing departments face challenges such as lack of historical data, manual aggregation across platforms, high maintenance for Looker Studio reports, and time-consuming data cleaning for AI analysis.
While Google BigQuery is a powerful solution, many feel hesitant to adopt it, believing it requires SQL or engineering resources. To address this, Ajito is hosting a 'Learn by Seeing' webinar based on their popular eBook, featuring live demonstrations.
The 60-minute session will cover BigQuery basics, live demos of usage, and how to use 'Databeat'—an ad data platform that automatically accumulates data from over 40 channels without custom API builds.
### Webinar Goal
By the end of the session, participants will understand how to accumulate ad data in BigQuery and utilize it with Looker Studio and AI agents, even without SQL or programming knowledge.
### Who Should Attend
- Those wanting to unify and analyze data from multiple ad platforms.
- Users of Looker Studio seeking to automate manual data updates.
- Professionals interested in AI-driven data utilization but lack SQL skills.
- Those looking to use AI agents like Claude Code for ad data analysis.
### Event Details
- **Title:** Learn by Seeing! Introduction to BigQuery for Ad Professionals in the AI Era
- **Date & Time:** Wednesday, June 17, 2026, 12:00–13:00 (Live Stream)
- **Venue:** Online (Archive available for registrants)
- **Admission:** Free
- **Capacity:** 500 attendees
FAQ
このウェビナーはSQLの知識がなくても参加できますか？
はい。SQLやプログラミングの知識がなくても、広告データをBigQueryに蓄積・活用する方法を体系的に学べる入門者向けの内容です。
ウェビナーの開催日時と参加費は？
2026年6月17日（水）の12:00〜13:00に開催され、参加費は無料です。
「Databeat」を使用するとどのようなメリットがありますか？
API接続の構築や保守を自前で行うことなく、40以上の広告媒体のデータをBigQueryに自動で蓄積することが可能になります。
ウェビナーに参加できない場合、資料などはありますか？
当日は実際の画面をお見せする形式ですが、ベースとなる全34ページのeBook「AI時代の広告担当者のためのBigQuery入門」も提供されています。
どのような課題を持つ担当者に向いていますか？
複数媒体のデータ集計の手作業を減らしたい、過去データを蓄積したい、Looker Studioの自動更新を実現したい、AIエージェントを活用したいといった課題を持つ方に適しています。