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Hadoop Blueprints

You're reading from   Hadoop Blueprints Use Hadoop to solve business problems by learning from a rich set of real-life case studies

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781783980307
Length 316 pages
Edition 1st Edition
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Authors (3):
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Sudheesh Narayan Sudheesh Narayan
Author Profile Icon Sudheesh Narayan
Sudheesh Narayan
Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
Anurag Shrivastava Anurag Shrivastava
Author Profile Icon Anurag Shrivastava
Anurag Shrivastava
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Table of Contents (9) Chapters Close

Preface 1. Hadoop and Big Data 2. A 360-Degree View of the Customer FREE CHAPTER 3. Building a Fraud Detection System 4. Marketing Campaign Planning 5. Churn Detection 6. Analyze Sensor Data Using Hadoop 7. Building a Data Lake 8. Future Directions

NoSQL databases


Programmers and DBAs have used relational database management systems (RDBMS) for the last three decades. RDBMS systems have been used to build online transaction processing systems and data warehousing systems. The relational model of database design is well understood in the industry, where data is stored in tables in a structured format and relationships between the tables are maintained using the concept of keys. As a result of the exponential jump in the number of transactions taking place through web and mobile applications, having a scalable RDBMS that delivers high availability and performance at a reasonable cost has become gradually more difficult. Internet companies such as Google, Amazon, and Yahoo! were the first to face this problem.

Hadoop is one such system that took center stage in handling the massive volumes of data for analytic purposes. However, the requirement to process big data and offer superior performance and availability is not limited to analytical...

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