Financial Data Engineering: Design and Build Data-Driven Financial Products
Author: Tamer Khraisha (Author)
Publisher finelybook 出版社: O’Reilly Media
Edition 版本: 1st
Publication Date 出版日期: 2024-11-12
Language 语言: English
Print Length 页数: 504 pages
ISBN-10: 1098159993
ISBN-13: 9781098159993
Book Description
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 possesses not only 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
- The 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.
About the Author
相关文件下载地址
相关推荐
Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps- Real-World Edge Computing: Scale, secure, and succeed in the realm of edge computing with Open Horizon
- Salesforce DevOps for Architects: Discover tools and techniques to optimize the delivery of your Salesforce projects
- Unveiling NIST Cybersecurity Framework 2.0: Secure your organization with the practical applications of CSF
- Mastering DevOps on Microsoft Power Platform: Build, deploy, and secure low-code solutions on Power Platform using Azure DevOps and GitHub
- Introduction to Python Programming
