Analyzing Pwned Passwords with Apache Spark

Analyzing Pwned Passwords with Apache Spark

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Introduction

1 of 34

1 of 34

Introduction

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Classroom Contents

Analyzing Pwned Passwords with Apache Spark

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  1. 1 Introduction
  2. 2 What is Twilio
  3. 3 Agenda
  4. 4 What is Spark
  5. 5 We dont need Spark
  6. 6 Data Science Data Engineering
  7. 7 RDD
  8. 8 GroupByKey
  9. 9 DataSets
  10. 10 State of Password
  11. 11 Have I Been Owned
  12. 12 The Data
  13. 13 Schema Check
  14. 14 Most Popular Passwords
  15. 15 Length Column
  16. 16 Run Raw Sequel
  17. 17 Filtering Passwords
  18. 18 Password Data
  19. 19 Schema Inference
  20. 20 UserDefined Functions
  21. 21 Results
  22. 22 Dog Rights
  23. 23 Benefits of Spark
  24. 24 Challenges
  25. 25 Nested Error Messages
  26. 26 Apache Spark Documentation
  27. 27 Security Implications
  28. 28 Data Privacy
  29. 29 Security
  30. 30 What can you do
  31. 31 Thank you
  32. 32 Conclusion
  33. 33 Closing
  34. 34 Audience Questions

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