October 2024
Intermediate to advanced
506 pages
15h 54m
English
Content preview from Financial Data Engineering
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Part II. The Financial Data Engineering Lifecycle
In the first part of this book, we explored the major ideas and problems around the management of financial data, including the complexity of the financial data landscape, the diversity and nonuniversality of financial data identifiers, the problems of financial entity recognition and resolution, and financial data governance.
In the second part of this book, spanning Chapters 6 through 12, the focus shifts to the technological aspects of financial data engineering. This includes the models, tools, frameworks, software systems, hardware components, libraries, design patterns, and networking systems needed to design and implement a financial data infrastructure.
Chapter 6 will begin by introducing the financial data engineering lifecycle (FDEL), a conceptual framework that will be used to organize the many components of a financial data infrastructure into four structured layers: ingestion, storage, transformation and delivery, and monitoring. Subsequently, Chapters 7 through 10 will cover each of these layers in detail. After that, Chapter 11 will discuss the various workflow architectures that are commonly used to implement the FDEL. Chapter 12 concludes with four hands-on projects designed to familiarize you with key practices and technologies in financial data engineering.
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