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Financial Data Engineering (Design and Build Data-Driven Financial Products)

List Price: $69.99
SKU:
9781098159993
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  • Product Details

    Author:
    Tamer Khraisha
    Format:
    Paperback
    Pages:
    504
    Publisher:
    O'Reilly Media (November 12, 2024)
    Language:
    English
    ISBN-13:
    9781098159993
    ISBN-10:
    1098159993
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260209163242-20260209.xml
    Folder:
    TWO RIVERS
    List Price:
    $69.99
    Country of Origin:
    United States
    Case Pack:
    8
    As low as:
    $60.19
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Pub Discount:
    60
    Weight:
    28.16oz
    Imprint:
    O'Reilly Media
  • Overview

    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.