The information security as a term starts its impact when the computers dominated the market. As the computer system becomes more and more affordable security problems and solutions were phrased. Before the mid 1980 till date, the Information Security concerns of any organizations has also increases many fold. Majority of the organizations either big or small are facing an increasing number of threats every day in the form of viruses and attacks etc, that compromise the Integrity of the Information System. Since then many different mechanisms were opted by organizations like intrusion detection to protect their organizations from these kinds of threats/ attacks. In this paper we try to highlight the impact of Threat on the information system and corresponding mitigating strategy like IDS. This paper will mainly focus on classification of Intrusion Detection Systems.

A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources. In addition to a relational database, a data warehouse environment includes an extraction, transportation, transformation, and loading (ETL) solution, an online analytical processing (OLAP) engine, client analysis tools, and other applications that manage the process of gathering data and delivering it to business users [2] [10].

Data Quality for an enterprise data repository various data quality tools are used that focus on this issue. The scope of these tools is moving from specific applications to a more global perspective so as to ensure data quality at every level. A more organized framework is needed to help managers to choose these tools so that that the data repositories or data warehouses could be maintained in a very efficient way. Data quality tools are used in data warehousing to ready the data and ensure that clean data populates the warehouse, thus enhancing usability of the warehouse. This research focuses on the on the various data quality tools which have been used and implemented successfully in the preparation of examination data of University of Kashmir for the preparation of results. This paper also proposes the mapping of data quality tools with the process which are involved for efficient data migration to data warehouse.