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