金融数据工程：设计与构建基于数据的金融服务产品（真/零售EPUB）
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.
今天，对金融科技和数字化转型的投资正在重塑金融领域，并带来许多机会。然而，金融机构中的工程师和技术人员往往缺乏构建现代、可靠且可扩展的金融数据基础设施所需的实用而全面的理解，包括涉及的概念、问题、技术与方法等。 一个专注于金融产品的数据工程师不仅需要掌握专业的数据工程技能，还需要对金融服务领域的特定挑战、方法学、数据生态系统、供应商、格式、技术限制、标识符、实体、标准、监管要求和治理有扎实的了解。 本书提供了一个全面实用且以领域驱动的方法论来阐述金融数据工程，并涵盖实际案例、行业实践及动手项目。 你将学习到： • 金融行业的数据工程全景 • 在金融数据工程中遇到的具体问题 • 金融数据领域的结构、参与者及其特点 • 设计金融数据标识和实体系统的策略 • 金融数据治理框架、概念与最佳实践 • 从数据摄入到生产流程的金融数据工程生命周期 • 金融数据工作流的各种类型及主要特性 • 如何使用开源工具和技术API构建金融数据管道 塔米尔·赫里亚（PhD）是一名拥有超过十年经验的专业数据工程师和科学作者。
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