English | 2024 | ISBN: 978-1098159993 | 504 Pages | PDF, EPUB | 24 MB
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
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