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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 FREE CHAPTER 2. A 360-Degree View of the Customer 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

Technology stack for Data Lake


We have covered a lot of ground so far. We discussed a conceptual, high level architecture of a data lake in Figure 1. After understanding some of the technologies available, we can now fill the conceptual data lake with real technologies which we will use to implement our data lake as shown in Table 1. Please note that we have already covered some of these technologies in the previous chapters of this book.

Data Lake Tier Name

Technology Used

Ingestion Tier

Apache Flume

HDFS Copy

Apache Sqoop

Storage Tier

HDFS

Insights Tier

Apache Zeppelin, Hive QL

Operations Tier

Apache Ranger

HDFS Permissions

Table 1 Our technology choices to build Data Lake

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