Quality & Security of Big Data Operations

Big Data    |    Intermediate
  • 10 Videos | 42m 7s
  • Includes Assessment
  • Earns a Badge
Likes 27 Likes 27
To be of any use, data must be accessible, accurate, and secure. Examine methods for application and performance testing, as well as data testing, prevention, and preservation.

WHAT YOU WILL LEARN

  • describe key similarities and differences between data warehousing testing vs. big data testing
    recognize the various testing methods and strategies
    recognize the testing methods in ETL processes
    describe the various methods in performance testing
    demonstrate key strategies in big data testing
  • identify important tools available in Hadoop ecosystem for testing big data
    describe the main challenges business face with big data currently
    describe data leakage and ways to prevent it
    recognize the various ways to keep data clean, maintained and secure
    describe important characteristics of big data testing

IN THIS COURSE

  • Playable
    1. 
    Data Warehousing vs. Big Data Testing
    3m 17s
    UP NEXT
  • Playable
    2. 
    Methods of Testing Big Data Applications
    2m 55s
  • Locked
    3. 
    ETL And Data Warehouse Testing Principles
    2m 47s
  • Locked
    4. 
    Performance Testing
    4m 4s
  • Locked
    5. 
    Testing Big Data Loads
    3m 18s
  • Locked
    6. 
    Testing Big Data with Hadoop Ecosystem
    5m 1s
  • Locked
    7. 
    Biggest Problems with Big Data Today
    5m 41s
  • Locked
    8. 
    Data Leakage
    4m 25s
  • Locked
    9. 
    Prevention and Preserving
    4m 32s
  • Locked
    10. 
    Exercise: Test Big Data
    1m 36s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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