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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

Data Lake business requirements


Data lakes are supposed to provide access to structured, unstructured, and semi-structured data to users. The business requirements of data lakes drive what kind of data will be stored in a data lake and who will have access to it. In the next section, we will understand the business requirements of a company that wants to build a data lake.

Note

Origins of the word Data Lake

James Dixon, the founder and CTO of Pentaho, coined the term data lake in his blog. He has defined the concept of a Data Lake as follows:" If you think of a datamart as a store of bottled water - cleansed and packaged and structured for easy consumption - the data lake is a large body of water in a more natural state. The contents of the data lake stream in from a source to fill the lake, and various users of the lake can come to examine, dive in, or take samples." (Dixon, 2010)

Understanding the business requirements

Let's look at a fictional financial services company called Big Gains...

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