MDDL and the Quest for a Market Data Standard: Explanation, Rationale, and Implementation (The Elsevier and Mondo Visione World Capital Markets) [Hardcover]

Martin Christopher Sexton (Author)

Book Description

Publication Date: October 16, 2007 | ISBN-10: 0750668393 | ISBN-13: 978-0750668392 | Edition: 1

The aim of this book is to provide an objective vendor independent assessment of the Market Data Definition Language (MDDL), the eXtensible Mark-up Language (XML) standard for market data. Assuming little previous knowledge of the standard, or of systems networking, the book identifies the challenges and significance of the standard, examines the business and market drivers and presents decision makers with a clear, concise and jargon free read.
Technical material is set off so that Systems Analysts are provided with an explanation to the standard's business terms, context and deep hierarchical structure thus enabling them to create MDDL compliant interfaces. In this way, the book confers the knowledge to enable business and technology professionals to converse comfortably regarding financial systems integration.

*First book to present the business case for MDDL adoption and implementation
*Identifies the challenges and significance of the standard, examines the business and market drivers and presents decision makers with a clear, concise and jargon free read.
*Technical material is set off from the text for systems analysts and provides comprehensive explanations of terms, context and deep hierarchical structure, thus enabling them to create MDDL compliant interfaces.

Editorial Reviews

About the Author

At 19, Martin was the youngest person ever to pass the Higher National Certificate in Computer Studies and Business Organisation with Distinction. After spending a number of years as a Computer Games Designer, Martin was eventually lured by the bright lights of the "City". He is a Principal Consultant with over 15 years experience in the financial industry. Martin has been responsible for interface design and data feed developments at a number of large financial institutions, including Euronext.Liffe (the Pan-European Stock Exchange), Credit Suisse First Boston, Reuters and Cantor Fitzgerald International. Having written White Papers on the deployment of MDDL and a number of articles published on industry standards Martin has put his years of experience into this publication.

Product Details

• Hardcover: 320 pages
• Publisher: Butterworth-Heinemann; 1 edition (October 16, 2007)
• Language: English
• ISBN-10: 0750668393
• ISBN-13: 978-0750668392
• Product Dimensions: 9.3 x 6.7 x 1 inches
• Shipping Weight: 1.2 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #1,851,320 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

4.0 out of 5 stars Essential reading for students of MDDL, July 24, 2008

By 

Mr. David Wynter (London, Greater London United Kingdom) - See all my reviews
(REAL NAME)   

This review is from: MDDL and the Quest for a Market Data Standard: Explanation, Rationale, and Implementation (The Elsevier and Mondo Visione World Capital Markets) (Hardcover)

I work with market data every working day so have a high level of knowledge concerning it. But when a new standard comes along, particularly one where a fair amount of abstraction of the domain is applied, it is difficult to map real world data into that abstract model. This is where the book is essential reading. It gives practical application of real world data and real world uses of that data using the MDDL model. This greatly accelerates the application of this model to practical uses.

It covers a lot of ground with comparisons to other standards and the use of MDDL in different business contexts. There are many examples of the use of MDDL. The depth of coverage is limited due to the size of the book and the breadth of the MDDL standard.

It is not without flaws, the publishers should be ashamed, nearly a typo per page and the index is way off. But even with these flaws it is an essential book for any student of MDDL or anyone who is interested in data modelling of financial data.