• Online, Self-Paced
Course Description

Data integrity is vital as it ensures end-user data accuracy and consistency in conjunction with an adequate level of service and availability. In this course, you'll learn how to choose a strategy for data integrity, including how to account for any potential upsides and tradeoffs.

You'll explore various types of failures that lead to data loss and the existence of the many data failure modes. You'll also identify data integrity challenges.

Next, you'll examine in detail the soft deletion, back up and recovery, and early detection layers of defense-in-depth, before investigating the data integrity challenges a cloud developer may encounter in high-velocity environments.

Finally, you'll outline considerations for implementing out-of-band data validation and successful data recovery and identify how the primary SRE principles apply to data integrity. 

Learning Objectives

{"discover the key concepts covered in this course"}

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Systems Analysis
  • Systems Development