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Protecting Sensitive Data in Huge Datasets - Cloud Tools You Can Use
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- 1 Introduction
- 2 Running your own predictions
- 3 Privacy and open data
- 4 Chat bot example
- 5 Cloud DLP
- 6 Can you use it in your pipeline
- 7 At least 90 classifiers
- 8 Defining rules
- 9 Transform data
- 10 Mask data
- 11 Identify risk
- 12 Date shifting
- 13 Custom detection
- 14 Dictionaries
- 15 Tokenization
- 16 Encryption
- 17 What is BigQuery
- 18 What do you do with this data
- 19 Definitions
- 20 Mission measures
- 21 K anonymity
- 22 Example Mexico
- 23 Quasi Identifiers
- 24 Automate
- 25 Measuring key anonymity
- 26 Eldiversity
- 27 Anonymity
- 28 Kmap anonymity
- 29 Delta presence
- 30 Key anonymity
- 31 Best practices
- 32 Public datasets
- 33 Sharing data
- 34 Differential privacy
- 35 Understanding your data
- 36 Contact Felipe
