Hadoop for Finance Essentials

Harness big data to provide meaningful insights, analytics, and business intelligence for your financial institution

About This Book

• Explore practical big data use cases for banking, financial services, and the insurance sector to build your own financial models
• Develop solutions for small- and large-scale data projects on the Hadoop platform
• Get hands-on experience with various Hadoop tools for better insights into both risks and opportunities

Who This Book Is For

This book is perfect for developers, analysts, architects or managers who would like to perform big data analytics with Hadoop for the financial sector. This book is also helpful for technology professionals from other industry sectors who have recently switched or like to switch their business domain to financial sector. Familiarity with big data, Java programming, database and data warehouse, and business intelligence would be beneficial.

What You Will Learn

• Learn about big data and Hadoop fundamentals including practical finance use cases
• Walk through Hadoop-based finance projects with explanations of solutions, big data governance, and how to sustain Hadoop momentum
• Develop a range of solutions for small to large-scale data projects on the Hadoop platform
• Learn how to process big data in the cloud
• Present practical business cases to management to scale up existing platforms at enterprise level

In Detail

With the exponential growth of data and many enterprises crunching more and more data every day, Hadoop as a data platform has gained a lot of popularity. Financial businesses want to minimize risks and maximize opportunities, and Hadoop, largely dominating the big data market, plays a major role.

This book will get you started with the fundamentals of big data and Hadoop, enabling you to get to grips with solutions to many top financial big data use cases including regulatory projects and fraud detection. It is packed with industry references and code templates, and is designed to walk you through a wide range of Hadoop components.

By the end of the book, you'll understand a few industry leading architecture patterns, big data governance, tips, best practices, and standards to successfully develop your own Hadoop based solution.

運用大數據為您的金融機構提供有意義的洞察、分析和商業智能

關於本書
- 探索銀行、金融服務和保險業的實際大數據應用案例，以建立自己的金融模型
- 在Hadoop平台上開發小型和大型數據項目的解決方案
- 通過使用各種Hadoop工具，獲得更好的風險和機會洞察的實踐經驗

適合閱讀對象
本書適合希望使用Hadoop進行金融領域的大數據分析的開發人員、分析師、架構師或經理。本書也對其他行業的技術專業人士有幫助，他們最近轉行或希望轉行到金融領域。熟悉大數據、Java編程、數據庫和數據倉庫以及商業智能將有益。

您將學到什麼
- 了解大數據和Hadoop的基礎知識，包括實際金融應用案例
- 通過解釋解決方案、大數據治理以及如何維持Hadoop動力，深入了解基於Hadoop的金融項目
- 開發一系列小型到大型數據項目的Hadoop平台解決方案
- 學習如何在雲端處理大數據
- 向管理層提出實際的業務案例，以在企業級別擴展現有平台

詳細內容
隨著數據的指數級增長，許多企業每天都在處理越來越多的數據，作為一個數據平台，Hadoop在大數據市場中佔據主導地位，對於金融業務來說起著重要作用。

本書將帶您入門大數據和Hadoop的基礎知識，使您能夠掌握許多頂級金融大數據應用案例的解決方案，包括監管項目和欺詐檢測。它充滿了行業參考和代碼模板，旨在引導您了解各種Hadoop組件。

通過閱讀本書，您將了解一些行業領先的架構模式、大數據治理、技巧、最佳實踐和標準，以成功開發基於Hadoop的解決方案。