Designing Financial Data Architectures: Patterns and Principles for AI, Analytics, and Operational Efficiency - Image 1

£55.99

O'Reilly Designing Financial Data Architectures: Patterns and Principles for AI, Analytics, and Operational Efficiency

Name: Designing Financial Data Architectures: Patterns and Principles for AI, Analytics, and Operational Efficiency
Brand: O'Reilly
Price: 55.99 GBP
Availability: InStock

Database Design & Theory

It has never been this cheap. We have no record of a lower price.

£56 today · cheaper than every other day in the last 2 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 53 days · 53 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 53 days • 1 price levels

Days at Price

Price Analysis

Most common price: £56 (53 days, 100.0%)

Price range: £56 - £56

Price levels: 1 different prices over 53 days

Description

The financial industry runs on a vast and complex data ecosystem--one that presents unique challenges and requirements for financial market players. To make sense of this complexity, financial institutions must design data architectures that do more than just move data--they must support real business needs, account for the unique nature of financial data, and meet the industry's high standards for compliance, performance, and resilience. Designing Financial Data Architectures provides a comprehensive guide to building data frameworks tailored to the requirements of modern financial systems. Whether supporting trading and payments, powering an investment platform, enabling AI-powered analytics, or meeting ever-evolving compliance demands, this book equips professionals with the principles and design patterns to structure, manage, and optimize financial data systems. Understand the financial data landscape and its data management challenges Learn about financial data modelling, semantics, ontologies, and entity relationship diagrams Implement governance frameworks for data security, quality, and compliance Design data architectures tailored to the needs of financial markets Master the principles of operational and analytical data architecture for financial systems Leverage AI-driven methodologies to enhance data-driven decision-making

Product Specifications

Brand: O'Reilly
Format: paperback
ASIN: B0H32SGX2R
Category: Books > Subjects > Computing & Internet > Databases > Database Design & Theory
Domain: Amazon UK
Release Date: 31 December 2026
Listed Since: 01 June 2026

Barcode

No barcode data available

O'Reilly Designing Financial Data Architectures: Patterns and Principles for AI, Analytics, and Operational Efficiency

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Redefining Data Engineering with AI: Agentic Engineering Your Way to Data Democracy

AI Starts with Data: A Practical Blueprint for Trusted, Governed, Enterprise AI

Information Architecture, 4e: For the Web and Beyond

Analytics Engineering with Microsoft Fabric and Power BI: The Definitive Guide for Building Enterprise-Grade Analytics Solutions

Data Mesh Design: A Practical Pipeline Design Guide for Analytics, Data Science and Machine Learning

Transforming Financial Management with AI, BI, and Data-Driven Decision Making

Architectures for the Intelligent AI-Ready Enterprise: Building real-world solutions with MongoDB

Fundamentals of Data Observability: Implement Trustworthy End-To-End Data Solutions

Data Modeling for Azure Data Services: Implement professional data design and structures in Azure

Building Trusted Data Platforms with Azure Databricks and GenAI: A Hands-On Guide to Creating Governed Data Products in a Lakehouse

Architecting an Apache Iceberg Lakehouse

Large Language Models in Finance: A hands-on guide to LLM architectures, agents, RAG, governance, and evaluation in finance

Fundamentals of Microsoft Fabric: Designing End-To-End Analytics Solutions

The Architecture of Money: Inside the Systems That Power Global Finance

Building AI Agents for Finance: Design & Deploy Financial AI Agents with Robust Architectures, Advanced Reasoning, and Python

Agent Architectures: Design Patterns for Multi-Agent AI Systems - Patterns · Protocols · Coordination · Governance

AI and ML Governance in Financial Services: Balancing Innovation, Risk, and Equity

Navigating the Future of Finance in the Age of AI (Advances in Finance, Accounting, and Economics)

Artificial Intelligence and Machine Learning-Powered Smart Finance

Financial Markets and Organizational Technologies: System Architectures, Practices and Risks in the Era of Deregulation (Palgrave Macmillan Studies in Banking and Financial Institutions)

Fundamentals of Enterprise Architecture: Proven Frameworks for Effective Architecture Decisions

Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy

Coding Architecture: Designing Toolkits, Workflows, Industry (Digital Innovations in Architecture, Engineering and Construction)

Designing API-First Enterprise Architectures on Azure: A guide for architects and developers to expedite digital transformation with API-led architectures