A Survey Paper on Retrieval of Deterministic Data with Ranking Strategy

Now a days because of the widespread use of Internet users prefers to store the data on web applications such as cloud. Most of the storage applications stores the deterministic data in legacy systems. This paper focuses on the problem of deterministic data & enables to be stored in legacy systems. The probabilistic data may be generated by automated data analysis techniques. Our goal is to generate the deterministic representation of probabilistic data that optimizes the quality of the end- application. The determination of probabilistic data can be done by using query aware strategy and ranking algorithms. These strategies helps to generate more precise representation of the data as the selection of data is done by triggering a query on specific items and also an index ranking is applied to the query selected attributes for more accurate representation. We have also highlighted the advantages of using these techniques over the traditional approaches.