Analyzing Pwned Passwords with Apache Spark

Analyzing Pwned Passwords with Apache Spark

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Wrap up

29 of 29

29 of 29

Wrap up

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Analyzing Pwned Passwords with Apache Spark

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  1. 1 Introduction
  2. 2 Kelly Robinson Introduction
  3. 3 Agenda
  4. 4 Apache Spark
  5. 5 Big Data
  6. 6 RDDs
  7. 7 DataFrames
  8. 8 Performance
  9. 9 State of passwords
  10. 10 TryHunt
  11. 11 Zeppelin
  12. 12 Top Passwords
  13. 13 Lengths
  14. 14 Data visualizations
  15. 15 Suffixes
  16. 16 Transform Data
  17. 17 Password Policies
  18. 18 Spark Benefits
  19. 19 Spark Challenges
  20. 20 Java Stack Traces
  21. 21 Big Data Security
  22. 22 Security is on everyones mind
  23. 23 Nobody security is perfect
  24. 24 Users have bad passwords
  25. 25 Password reuse
  26. 26 Password security
  27. 27 Seamless user experience
  28. 28 Credential stuffing
  29. 29 Wrap up

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