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Jumpstart your financial application designs with proven conceptual and logical data models for banking, brokerage, and insurance.
From the beginnings of Western and Eastern civilizations, data has always driven our banking, stock trading, and insurance contracts, yet this data was collected and stored in hand ledgers. With the advent of digital technology in the 20th century, financial firms expanded exponentially. The key to this expansion has been relational databases and, more recently, NoSQL, which enable us to store detailed information about customers and products.
This book contains conceptual and logical data models for retail and commercial banking, including savings, checking, mortgages, and loans; credit cards, capital, and financial markets, including general ledger and chart of accounts; investment, brokerage and securities, including equities, options, and bonds; and insurance including property, casualty, and life. Also covered is how to translate into a physical design, including for analytics applications using star schemas.
Whether you are a business specialist, analyst, regulator, or IT professional, this book provides a roadmap and set of patterns for the initial design and construction of fundamental data models for the most frequently used applications in the financial world.
Publisher : Technics Publications
Publication date : Nov. 20 2024
Language : English
Print length : 101 pages
ISBN-10 : 1634625080
ISBN-13 : 978-1634625081
Item weight : 259 g
Dimensions : 21.59 x 0.58 x 27.94 cm
Best Sellers Rank: #952,635 in Books (See Top 100 in Books) #479 in Computer Science Modelling & Simulation #532 in Management Information Systems (Books) #536 in Information Management (Books)
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