E-Books →Financial Data Engineering Design and Build Data–Driven Financial Products

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 sectorSpecific problems encountered in financial data engineeringThe structure, players, and particularities of the financial data domainApproaches to designing financial data identification and entity systemsFinancial data governance frameworks, concepts, and best practicesThe financial data engineering lifecycle from ingestion to productionThe varieties and main characteristics of financial data workflowsHow 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.