A hybrid model for data synchronism in data warehouse projects

A data warehouse can be viewed as a set of portions of information from transactional systems (OLTP - on-line transaction processing) with different business characteristics and used by analytical applications (OLAP - on-line analytical processing) with different user requirements. As the concept of real time enterprise evolves, the synchronism between transaction data and data warehouse, statically implemented, has been reviewed. This paper proposes a hybrid synchronism model for the data warehouse. In this model, portions of information are analyzed by a set of parameters and searching functions. With the parameters and searching functions in mind we can go on to choosing the most suitable synchronism option for each portion of information.