Velocity – Data is generated rapidly and continuously changing.
Variety – Data comes in multiple formats (structured, unstructured, multimedia, etc.).
Veracity – Ensuring data quality and reliability.
Among these, constant change (velocity) is a defining characteristic of big data.
(A) Incorrect – Big data is being generated slowly due to volume.
Big data is generated at high speed (velocity), not slowly.
(B) Incorrect – Big data must be relevant for the purposes of organizations.
While relevance is important, it is not a defining characteristic of big data.
(C) Incorrect – Big data comes from a single type of format.
Big data consists of multiple formats, including text, images, videos, and unstructured data.
(D) Correct – Big data is always changing.
Big data is dynamic and constantly updated in real-time.
This high velocity and continuous flow of information is a key characteristic.
IIA’s GTAG (Global Technology Audit Guide) – Big Data and Analytics
Describes how big data is constantly evolving.
NIST Big Data Framework – Key Characteristics
Defines volume, velocity, variety, and veracity as essential traits.
COBIT Framework – IT Governance and Data Management
Emphasizes the need for organizations to manage rapidly changing data.
Analysis of Answer Choices:IIA References and Internal Auditing Standards:
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