By Sarinder K. Dhillon
This ebook is concentrated at the improvement of an information integration framework for retrieval of biodiversity details from heterogeneous and disbursed facts resources. the information integration method proposed during this e-book hyperlinks distant databases in a networked atmosphere, helps heterogeneous databases and information codecs, hyperlinks databases hosted on a number of systems, and offers information safety for database vendors by means of letting them hold and keep their very own information and to settle on info to be shared and associated. The publication is an invaluable advisor for researchers, practitioners, and graduate-level scholars attracted to studying cutting-edge improvement for facts integration in biodiversity.
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Additional info for Data Intensive Computing for Biodiversity
For example, to put the SWISSPROT database into a relational database in the third normal form would require breaking every SWISS-PROT record into nearly 30 pieces in a normalization process. Such a normalization process requires a certain amount of skill. Similarly, to query the normalized data in DiscoveryLink requires some mental and performance overhead, as users need to figure out which part of SWISS-PROT has been assigned to which of the 30 pieces and they need to join some of the pieces back again (Wong 2002).
Database in general is built using one of the various Database Management Systems (DBMS)s that currently exist in the market. In Sect. 2, a study was done on these various DBMSs. Another element which is crucial to building a database is data format. In this research, biodiversity data is used as primary data source, thus, biodiversity data formats were researched upon to analyze the data formats in this biological domain. 1 Databases A database can be described as a collection of data managed by a DBMS (Elmasri and Shamkant 1994).