This paper will take on the ongoing discrepancy between the competencies that are taught to This paper compares the main two ways of keeping the dimensional history within a data store: Hash based approaches and Surrogate key type methods. Companies are using historical data increasingly for analytics and decision-making. Selection criteria on dimension management strategy is crucial to warehousing performance and maintenance. The hash-based approaches employ cryptography in order to process-dimensional attributes to generate distinctive identifiers. This allows changes to be discovered automatically and versioning to be retained without always maintaining additional lookup tables. Surrogate key approaches in contrast utilize sequentially generated system identifiers to monitor the evolution of dimensions through time. These methods typically involve the use of Slowly Changing Dimension (SCD) patterns. The work compares the two methods on a number of dimensions, including how difficult they are to implement, how well they support queries, how well they compress storage space after being implemented and how well they find differences, as well as scale. We evaluate the trade-off between these two approaches for different workloads and data sizes through experiments based on popular industry benchmarks. Using hash-based methods is better in detecting changes and simplifying ETL, while the proxy key approach is good at query optimization and easier to manage relationships. The study provides useful advice to data warehouse architects - for the first time through knowing when each method is more suitable. This allows them to make intelligent decisions that align with the realities of their business and the constraints of their technology..