Exam CCSP topic 1 question 192 discussion

I would have thought that Format is a bigger challenge - if you can't read the data it doesn't matter how good the quality is - but what do I know

Volume. With the sheer amount of data generated today, the vast volumes can make data discovery challenging. It becomes difficult to sift through and manage the massive amounts of information.

In the context of the CCSP official study materials, the biggest challenge for data discovery is identified as C. Volume. While data quality is certainly an important factor in data discovery and can pose its own challenges, the volume of data is specifically highlighted as the biggest challenge in the materials I reviewed.

C. Volume

I think one issue here might be confusing eDiscovery - which is almost always in a legal context and "data discovery" which seems to imply multi-purpose.

Study guide contains references to both but one in a section of "challenges" pg. 122 "Big data: On big data projects, data discovery is more important and more challenging. Not only is the volume of data that must be efficiently processed for discovery larger, but the diversity of sources and formats presents challenges that make many traditional methods of data discovery fail." pg 123 "Data Discovery Issues "Poor data quality: Data visualization tools are only as good as the information that is inputted. If organizations lack an enterprise-wide data governance policy, they could be relying on inaccurate or incomplete information to create their charts and dashboards."