The potential scenario that presents the greatest risk to an organization when implementing a new database technology is that data may not be recoverable due to system failures. Data recovery is the process of restoring or retrieving data that has been lost, corrupted, or damaged due to system failures, such as hardware malfunctions, software errors, power outages, or natural disasters. Data recovery is essential for the continuity and integrity of the organization's operations and information, as data is one of the most valuable and critical assets of the organization. Data recovery is also important for the compliance and accountability of the organization, as data may be subject to legal or regulatory requirements, such as retention, backup, or audit.
Data recovery may be challenging or impossible when implementing a new database technology, because the new technology may not be compatible or interoperable with the existing systems, applications, or backups, or because the new technology may not have adequate or tested recovery mechanisms or procedures. Data recovery may also be costly or time-consuming when implementing a new database technology, because the new technology may require additional or specialized resources, tools, or expertise, or because the new technology may involve large or complex data sets or structures. The other options are not as risky as data recovery, although they may also pose some difficulties or limitations for the new database technology implementation. The organization may not have a sufficient number of skilled resources, application and data migration cost for backups may exceed budget, and the database system may not be scalable in the future are all factors that could affect the feasibility and sustainability of the new database technology, but they do not directly affect the continuity and integrity of the organization's operations and information. References = 2