Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Financial Data Engineering: Design and Build Data-Driven Financial Products

Financial Data Engineering: Design and Build Data-Driven Financial Products

Khraisha, Tamer

Paperback

Investing & FinanceProgramming

Publisher Price: $69.99

ISBN10: 1098159993
ISBN13: 9781098159993
Publisher: O'Reilly Media
Published: Nov 12 2024
Pages: 504
Weight: 1.76
Height: 1.02 Width: 7.00 Depth: 9.19
Language: English

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.

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