Mid‑Year 2021 DSU Reading Selections – Technical Articles, Reflections, and Job Listings
The DSU mid‑year reading collection compiles high‑quality technical articles, reflective essays, and internal job referrals across data architecture, big‑data ecosystems, machine learning, data governance, and career development, providing a searchable resource for data professionals.
To help readers easily access high‑quality articles, DSU has compiled a mid‑year reading collection (Issue 24) covering three main categories: technical articles, reflection pieces, and internal job referrals.
Technical Articles (Part 1) includes topics such as data architecture and warehouse modeling, real‑time data platforms, big‑data ecosystem overviews, Scala basics, Flink SQL tutorials, data governance, SQL‑based machine learning, and various case studies from companies like Bilibili and Ant Group.
Reflection & Thought Pieces (Part 2) gathers essays on personal career reflections, data‑driven product thinking, data governance, digital transformation, privacy, and industry trends.
Job Referrals (Part 3) lists current openings for data scientists, data engineers, data analysts, and data product managers from companies such as Didi, Ant Group, Alibaba Cloud, ByteDance, and others.
The collection aims to provide a quick‑searchable resource for anyone interested in data‑related knowledge and career opportunities.
DataFunTalk
Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.
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