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Data Lake for Enterprises

You're reading from   Data Lake for Enterprises Lambda Architecture for building enterprise data systems

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787281349
Length 596 pages
Edition 1st Edition
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Authors (3):
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Pankaj Misra Pankaj Misra
Author Profile Icon Pankaj Misra
Pankaj Misra
Tomcy John Tomcy John
Author Profile Icon Tomcy John
Tomcy John
Vivek Mishra Vivek Mishra
Author Profile Icon Vivek Mishra
Vivek Mishra
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Data FREE CHAPTER 2. Comprehensive Concepts of a Data Lake 3. Lambda Architecture as a Pattern for Data Lake 4. Applied Lambda for Data Lake 5. Data Acquisition of Batch Data using Apache Sqoop 6. Data Acquisition of Stream Data using Apache Flume 7. Messaging Layer using Apache Kafka 8. Data Processing using Apache Flink 9. Data Store Using Apache Hadoop 10. Indexed Data Store using Elasticsearch 11. Data Lake Components Working Together 12. Data Lake Use Case Suggestions

Bring efficiency in warehouse management

This is a more business-specific use case where a data lake can come in really handy in many decision making scenarios. If your company has a production line or is dealing with cargo and logistics, this use case can be quite relevant and apt for data lake implementation.

In  modern day warehouse, the Internet of Things (IoT) comes in all forms and sizes. These devices could be used in various movable devices in the warehouse, can be held in each product for tracking and monitoring and so on. Tagging these devices is fine, but to make use of the huge amount of data flowing from these devices, data lake is a perfect solution to collect these and start making sense of them using a defined set of rules. This can add huge operational efficiency in the warehouse operation, in turn increase revenue and profit.

If this data flows in from various transactional...

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