Course Details

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Quality and Security of Big Data Operations


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number


Overview/Description
In this course, you'll learn about big data testing and challenges that organizations face with big data operations.

Target Audience
Project managers, Business Intelligence or ETL developers, data architects, data analysts and big data enthusiasts interested in a higher comprehension of big data; some knowledge of big data or data science, data warehouse, ETL, or any of the applications/software used in the industry today would be ideal

Prerequisites
None

Expected Duration (hours)
0.7

Lesson Objectives

Quality and Security of Big Data Operations

  • start the course
  • 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
  • Course Number:
    df_bdop_a02_it_enus