Name: Financial Data Engineering: Design and Build Data-Driven Financial Products (en Inglés)
SKU: 63001784
Price: 63.62 USD
Availability: InStock
Author: Tamer Khraisha

portada Financial Data Engineering: Design and Build Data-Driven Financial Products (en Inglés)

Financial Data Engineering: Design and Build Data-Driven Financial Products (en Inglés)

Formato

Libro Físico

Editorial

O'reilly Media

Autor

Tamer Khraisha

Idioma

Inglés

N° páginas

504

Encuadernación

Tapa Blanda

ISBN13

9781098159993

N° edición

Financial Data Engineering: Design and Build Data-Driven Financial Products (en Inglés)

Tamer Khraisha (Autor) · O'reilly Media · Tapa Blanda

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Reseña del libro "Financial Data Engineering: Design and Build Data-Driven Financial Products (en Inglés)"

Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical and comprehensive understanding of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed. A data engineer developing a data infrastructure for a financial product not only possesses technical data engineering skills, but also a solid understanding of financial domain-specific challenges, methodologies, data ecosystems, providers, formats, technological constraints, identifiers, entities, standards, regulatory requirements, and governance. This book offers a comprehensive, practical, domain-driven approach to financial data engineering, featuring real-world use cases, industry practices, and hands-on projects. You'll learn: The data engineering landscape in the financial sector Specific problems encountered in financial data engineering Structure, players, and particularities of the financial data domain Approaches to designing financial data identification and entity systems Financial data governance frameworks, concepts, and best practices The financial data engineering lifecycle from ingestion to production The varieties and main characteristics of financial data workflows How to build financial data pipelines using open source tools and APIs Tamer Khraisha, PhD, is a senior data engineer and scientific author with more than a decade of experience in the financial sector.