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Hadoop Blueprints

Hadoop Blueprints

By : Sudheesh Narayan, Anurag Shrivastava, Deshpande
5 (1)
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Hadoop Blueprints

Hadoop Blueprints

5 (1)
By: Sudheesh Narayan, Anurag Shrivastava, Deshpande

Overview of this book

If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake – all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space.
Table of Contents (9 chapters)
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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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