🔐 In an era of data breaches and tightening privacy laws, data masking is no longer optional—it’s essential. In this episode, Vadym and Kyrylo break down what data masking really is, how it works, and why every modern business needs it to safeguard sensitive information while keeping analytics and operations running smoothly.

🔍 What you’ll learn in this episode:
1️⃣ The different types of data masking—from static to dynamic and beyond.
2️⃣ Techniques like substitution, redaction, tokenization, and when to use each.
3️⃣ How to apply dynamic masking in BigQuery using policy tags and access controls.

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