In this session, I will explore how to seamlessly integrate large language models (LLMs), graph databases, and spreadsheets using Apache Hop.

Designed with beginners in mind—especially those who currently create or update their data manually—I will cover the essentials of building automated workflows that drastically reduce repetitive tasks.

You will learn best practices for designing data pipelines, leveraging key plugins, and streamlining complex data flows, all centered on Apache Hop’s next-generation capabilities.

Discover how this flexible integration approach can open new doors for both machine learning initiatives and data management, surpassing the limitations of traditional ETL tools.

Join us to unlock greater efficiency and innovation in your data workflows.

Speakers:

Koji Annoura has over 40 years of experience as a full-stack developer.

He has been working with Agile software development since 2009 and is one of the founders of the “Neo4j Users Group Tokyo” in Japan.

And He also founder of the “Apache Hop User Group Japan” since 2021.

He has been involved in the agile transformation of many companies and teams, and has been involved in the implementation of agile and scrum.

He is one of the authors of “The Practical Guide to MacOS X Server”.