Data Products

Data Products by Chad Sanderson focuses on the development and management of data products, emphasizing modern data modeling, data quality, and the importance of data contracts. It tackles challenges in data pipelines, the shift from traditional data modeling due to Agile and engineering priorities, and the critical role of collaboration and data governance in improving data quality and overcoming data debt within organizations.

Data Product Development Modern Data Modeling Data Quality Data Contracts and Governance Collaboration in Data Management Data Pipelines and Architecture Impact of Agile and Engineering on Data Practices Data Debt and Its Management

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And their main takeaways
157 implied HN points 13 Apr 23
  1. There are two main groups discussing AI safety: doomers and boomers.
  2. Debates on AI safety can be like theology discussions, but it's more productive to focus on specific concerns and solutions.
  3. It's important to move from vague terms to concrete benchmarks when addressing AI safety.