A Japanese-language dataset for training and fine-tuning models on modern data engineering topics as of 2026. It contains instruction-tuning (SFT) Q&A pairs and a pretraining corpus covering distributed processing, streaming, data lakehouse, orchestration, transformation, local analytics, modeling, quality and governance, cloud and data platforms, MLOps, and AI/agentic data workflows. - AI / ML and data for AI: AI/LLM data pipelines (embeddings / RAG / vector DB), MLOps data (feature store / lineage / versioning), governance for AI agents (MCP / text2SQL) - Ops / FinOps / reliability, testing / CI, migration, design patterns All content reflects 2026-era trends (e.g. Iceberg as the open…