Focuses on big data, data analysis, data warehousing, data middle platform, data science, Flink, AI and interview experience, side‑hustle earning and career planning.
This document outlines a comprehensive data warehouse model design and review process, covering revision records, project overview, business requirements, conceptual and logical modeling, ETL workflow, exception handling, and acceptance criteria with practical examples and templates.
The article analyzes DeepSeek's open‑source model launch, its rapid user growth, and presents a comprehensive list of 100 practical AI use cases across sectors—grouped by frequency and adoption stage—to illustrate the model's market impact and future potential.
This article presents a comprehensive guide to essential SQL skills for data‑analysis positions, covering join operations, difference detection, duplicate removal, missing‑value handling, multi‑condition and fuzzy filtering, aggregation, conditional calculations, trimming, cost computation, and includes a collection of practical interview questions with sample queries.
This article breaks down DeepSeek's LLM training pipeline, explaining the massive pre‑training phase, instruction fine‑tuning, reinforcement‑learning‑from‑human‑feedback, and the distinct roles of its V3 instruction model and R1 reasoning model, while also highlighting performance metrics and current limitations.
DeepSeek, the popular Chinese large‑language model, boosts data‑warehouse engineers' productivity by offering free, open‑source AI assistance across code writing, model design, metadata management, data quality monitoring, and governance, ultimately maximizing enterprise data asset value.
This guide presents seven practical prompt engineering tricks—ranging from precise requirement definition and contextual background provision to step‑by‑step decomposition, keyword tagging, iterative follow‑ups, tone/style adjustments, and model switching—that dramatically improve the relevance and quality of DeepSeek’s responses for work, learning, and creative tasks.
