Data Governance Explained - Chapter 10 Retelling
Data governance sounds like something a committee of suits invented to make your life harder. But here’s the thing: without it, everything falls apart quietly.
Data governance
Data Engineering With GCP Chapter 10 Part 2: Data Quality, Security, and Compliance
In Part 1 we covered how data governance breaks into three pillars (usability, security, accountability) and went through metadata, Dataplex search, access control in BigQuery, and the Sensitive Data Protection service for finding PII. Now let’s pick up where we left off: understanding what SDP actually finds, and then moving into the accountability pillar.
Data Engineering With GCP Chapter 10 Part 1: Data Governance Basics on Google Cloud
Data governance is one of those topics that sounds boring until you realize nobody can find anything in your data platform. Then it becomes very interesting very fast.
Data Science Foundations Chapter 7: Where to Find and How to Source Your Data
You have a great hypothesis. Your stakeholders are on board. But none of it matters without the right data.
Chapter 7 of “Data Science Foundations” by Stephen Mariadas and Ian Huke is about sourcing. Where do you get data? How do you collect it? How do you know if it is any good?
Data Engineering With AWS Chapter 4 Part 2: Data Governance in Practice
In Part 1, we covered the theory: what data security and governance mean, how catalogs prevent your lake from becoming a swamp, and the core AWS services for encryption and identity. Now it is time to put it into practice.