Comparison of Data source and Record Storage

Author: Noronjon Qalandarov

CONTENTS (Jump to)





3. Books REVIEW

3. 1 Technology and definitions

3. 1. 1 RDBMS

3. 1. 2 Native XML DB

3. 2 Data source PRODUCTS

3. 2. 1 MySQL database

3. 2. 2 eXist and Sedna databases

4. Repository BENCHMARKING

4. 1. Keeping XML in data file systems

4. 2. Record size

4. 3. Updates

4. 4. Information of ground sampling and test preparation

4. 5. Persistence of pendimethalin in methanol extract






First of most because of my supervisor Ing. Alexandr Vasilenko for advices and assistance during the work on this diploma thesis and all his support during complete sensible work.

Special because of all users and coordinators of Europian Payment Erasmus Mundus program, especially to coordinator of CASIA job Ewa Wietsma and PhDr. Vlastimil ernŠ…, CSc. for granted me and offered me chance to examine at Czech School of Life Sciences.

I also wish to thanks to Division of Information Technologies, represented by Ing. Milo Ulman, Ph. D. for his professional skills, for kindness and support. Because of all academic personnel of university for their contribution to obtaining high-quality skills and knowledge.


Database systems are famous for consistent storage, retrieval, and manipulation of data. At exactly the same time, the Extensible Markup Dialect (XML) is generally accepted as data description language for both web-based information systems. XML is self-desibing. It provides flexible information id, and can be thoroughly used in many program domains such as chemistry, biology, and e-business, etc. With the development of the net applications and the large amounts of XML documents that are being made, it is therefore necessary to workout how to manage them efficiently. Directories are the perfect storage engines for most different types of data. Traditional DBMS are made for regular data. However, XML data often includes some abnormal data such as pictures, music and video documents etc, which means that the storage space of XML data is a task to traditional relational databases DBMSs.

Keywords: XML, RDBMS, database, relational databases, storage space, data and document, analysis, alternatives, software, web application


As the use of XML has grown, it is currently generally accepted that XML is not only useful for explaining new document types for the Web but is also suited to describing set up data. Types of organized data include information that is typically contained in spreadsheets, program construction documents, and network protocols. XML is preferable to previous data types because XML can simply represent both tabular data (such as relational data from a database or spreadsheets) and semistructured data (like a Web page or business file) (Obasanjo, 2003). Popular pre-existing types such as comma segregated value (CSV) files either work well for tabular data and deal with semi-structured data badly, or like RTF are too specialised for semi-structured words documents. It has led to the widespread adoption of XML as the lingua franca of information interchange.

As more and more organisations and systems utilize XML within their information management and exchange strategies, classical data management issues pertaining to XML's effective and effective safe-keeping, retrieval, querying, indexing and manipulation arise. From this environment we've seen the emergence of local XML databases. These are designed for smooth safe-keeping, retrieval, and manipulation of XML data and integration with related systems (Noordij, 2002). However, lots of questions come up regarding Native XML Database (NXD) technology. Will it really represent a paradigm shift? Moreover, is the performance of NXD technology sufficient to offer an alternative to standard database technology, or will existence be the position quo?