Advanced Database Systems

quartz Reports is business intelligence software for allowing new(prenominal) database applications to integrate with it for designing and get incubates for business and commercial purposes. The format and the style of the report underside be designed along with it and it provides mechanism to be linked with several opposite types of database and front end applications. The following are the various procedures and methods for producing such reports unremarkably in the form of rows and columns. Can also take the form of pie charts, taphouse charts and nested summary tables. It is also practical to run a crystal report without using the software itself it is through with(p) with the help of viewers, schedulers and other report distribution tools. It is a package with a set of ActiveX controls which can be merged or embedded with several GUI tools to provide a give way user interface (Crn.com, 2007). It supports data sources from databases like Oracle, MS SQL, MS Access, IB M DB2 and other applications like spreadsheets, text and XML files.Actuate is another crop which combines business intelligence product which can combine with SQL Server and Access. It also carries the following characteristics One can develop reports for further development in future Deployment of reports are possible It handles end user reporting and analytics It is also use for object antecedent The report also serves performance management and takes care of data integration.Data repositing is a concept that is used for storing organizations data and is usually termed as corporate memory. It contains the raw material for an initiatives MIS or DSS transcription. The analyst can perform complex queries which would be used for get results and further interpretation of the data and the resultant information (William, 2000).The subject orientated feature of the data warehousing takes into account the various elements that take stray in the real world. It is non-volatile and i ntegrated with respect to the data that they are never deleted and contains all the information with regard to business processing by the enterprise for all its operations.Data mining in contrast is filtering the data for the purpose of lineage a fellowship from it which is not possible for getting the trends of data from sincere databases.It uses complex technologies for getting the better meaning of the data and its analysis. It is oecumenically used for mainly two purposes namely knowledge discovery and prediction that about means that future prediction of events and patterns are found for getting the knowledge out of it for business intelligence purposes (Frawley, 2001).Online processing is termed as one that is done simultaneously as the user clicks and operates online. The system responds to user behavior and makes changes to its system accordingly for action. It promotes simplicity and efficiency for a reason that the user is not required to wait for any operation to tak e place for general criteria.The advantages of distributed databases over alter database can be termed as follows Costs The cost of maintaining of the distributed database at several locations are expensive with relation to technological costs, outwear costs and running expenses. In return the centralized database is housed in a single particular location and saves costs. Benefits The benefits of distributed database would be the structured-ness, improved availability, better blur tolerance, performance and modularity in modification and changing its contents. In case of centralized database, costs can be less but they are compromising to fault tolerance and availability reasons that forms good amount of reason to vanquish for a distributed structure. ReferencesCrn.com (2007). Retrieved 20, December 2007 from http//www.crn.com/software/164301546.Frawley W.(2001). Knowledge Discovery in Databases An Overview. AI Magazine pp. 213-228. ISSN 0738-4602.William H. Inmon (2000). Using the Data Warehouse, John Wiley & Sons, ISBN 0-471-05966-8.