Quality and Security of Big Data Operations

Quality and Security of Big Data Operations

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

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

Expertise Level
Intermediate