International Journal of Engineering Sciences & Research Technology (IJESRT)
In streaming data warehouses advance updates are made when the new batch of data entered in to the warehouse. This is totally different from the traditional approach. Because the traditional approach data are update during down times. Here the author proposing the scheduling framework which will be handles all the problems encountered in traditional data warehouses. Proportional partition strategy algorithm is used for scheduling the data in data warehouses. This will overcome the EDF partition algorithm. XOR based key expansion algorithm is used to protect the data in the data warehouse.