Description
The book introduces IT professionals, in particular, to various financial and data modeling concepts that they may not have seen before, giving them greater proficiency in the financial language of derivatives-and greater ability to communicate with financial analysts without fear or hesitation. Such knowledge will be especially useful to those looking to pick up the necessary skills to become productive right away working in the financial sector. Financial analysts reading this book will come to grips with various data modeling concepts and therefore be in better position to explain the underlying business to their IT audience.
Data Modeling of Financial Derivatives-which presumes no advanced knowledge of derivatives or data modeling-will help you:
- Learn the best entity-relationship modeling method out there-Barker's CASE methodology-and its application in the financial industry
- Understand how to identify and creatively reuse data modeling patterns
- Gain an understanding of financial derivatives and their various applications
- Learn how to model derivatives contracts and understand the reasoning behind certain design decisions
- Resolve derivatives data modeling complexities parsimoniously so that your clients can understand them intuitively
About the Author
Robert Mamayev has over 15 years of experience in applying information technology to solve business problems. Robert has led data modeling, data warehousing, and data quality efforts in the pharmaceutical, financial, and government sectors. His passion lies in data modeling, data management strategy, and database architecture. Robert resides in New York, and when not working, enjoys travelling, reading, watching hockey, as well as spending time with his family and friends.
Book Information
ISBN 9781430265894
Author Robert Mamayev
Format Paperback
Page Count 216
Imprint APress
Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG