Graph Data Council
Formerly known as the Linked Data Benchmark Council (LDBC), GDC defines standard graph benchmarks and fosters a community around graph processing technologies.
About
I work at the intersection of knowledge graphs, graph databases,
GraphRAG, data modeling, migration planning, and technical documentation.
日本語・英語どちらでも、技術相談、設計レビュー、社内勉強会に対応しています。
Profile
With more than 40 years of software engineering experience, I help teams understand complex data structures, migration risks, and knowledge relationships through graph-based modeling.
My work focuses on practical use of knowledge graphs, Neo4j, SQL/PGQ, GQL, GraphRAG, and data modeling for real-world systems.
長年のソフトウェア開発経験をもとに、グラフ技術とAI時代の知識設計を 実務に落とし込む支援を行っています。
Affiliations / Memberships
I participate in professional communities related to graph data management,
systems engineering, project management, and agile practices.
グラフデータ管理、システムズエンジニアリング、プロジェクトマネジメント、
アジャイル実践に関する専門コミュニティに参加しています。
Formerly known as the Linked Data Benchmark Council (LDBC), GDC defines standard graph benchmarks and fosters a community around graph processing technologies.
International Council on Systems Engineering.
Project Management Institute.
Agile and Scrum professional community.
Honors & Awards
Recognition from open-source and graph technology communities.
オープンソースおよびグラフ技術コミュニティでの活動に対する評価です。
Issued by Neo4j, Inc.
Issued by Northeast Asia OSS Promotion Forum.