Hadoop for Finance Essentials

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

Rajiv Tiwari

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

ISBN 139781784395162
Paperback168 pages

Book Description

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.

Table of Contents

Chapter 1: Big Data Overview
What is big data?
Big data technology evolution
The big data landscape
Hadoop architecture
The Hadoop jungle explained
Hadoop distributions
Summary
Chapter 2: Big Data in Financial Services
Big data use cases across industry sectors
Why big data in the financial sector?
Big data use cases in the financial sector
Big data evolution in finance
Big data tools – what to learn
Big data implementations in finance
Summary
Chapter 3: Hadoop in the Cloud
The big data cloud story
Project details – risk simulations in the cloud
Summary
Chapter 4: Data Migration Using Hadoop
Project details – archive your transaction data
Summary
Chapter 5: Getting Started
Project details – risk and regulatory reporting
Summary
Chapter 6: Getting Experienced
Real-time big data
Project details – identifying fraudulent transactions
Summary
Chapter 7: Scale It Up
Scale it up – actually horizontally
A few more big data use cases
The data lake
The lambda architecture
Big data governance
Security
Summary
Chapter 8: Sustain the Momentum
The Hadoop distribution upgrade cycle
Best practices and standards
New trends
Summary

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

Authors

Table of Contents

Chapter 1: Big Data Overview
What is big data?
Big data technology evolution
The big data landscape
Hadoop architecture
The Hadoop jungle explained
Hadoop distributions
Summary
Chapter 2: Big Data in Financial Services
Big data use cases across industry sectors
Why big data in the financial sector?
Big data use cases in the financial sector
Big data evolution in finance
Big data tools – what to learn
Big data implementations in finance
Summary
Chapter 3: Hadoop in the Cloud
The big data cloud story
Project details – risk simulations in the cloud
Summary
Chapter 4: Data Migration Using Hadoop
Project details – archive your transaction data
Summary
Chapter 5: Getting Started
Project details – risk and regulatory reporting
Summary
Chapter 6: Getting Experienced
Real-time big data
Project details – identifying fraudulent transactions
Summary
Chapter 7: Scale It Up
Scale it up – actually horizontally
A few more big data use cases
The data lake
The lambda architecture
Big data governance
Security
Summary
Chapter 8: Sustain the Momentum
The Hadoop distribution upgrade cycle
Best practices and standards
New trends
Summary

Book Details

ISBN 139781784395162
Paperback168 pages
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