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Data Lake for Enterprises

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

Product type Paperback

Published in May 2017

Publisher Packt

ISBN-13 9781787281349

Length 596 pages

Edition 1st Edition

Languages

Java

Tools

Hadoop

Concepts

Data Processing

Authors (3):

Mishra

John

Pankaj Misra

View More author details

Table of Contents (23) Chapters

Title Page

Credits

Foreword

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

Part 1 - Overview

Part 2 - Technical Building blocks of Data Lake

Part 3 - Bringing It All Together

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

Context in a Data Lake - Data Ingestion Layer

In this chapter, we are dealing with a technology that constitutes one of the core layers of Data Lake, namely Data Ingestion Layer. For dealing with processing of data from both streaming and batch data from different applications in an enterprise having the layer is very important.

The technology that we have shortlisted to do this very important job of processing data is Apache Flink. I have to say that this selection was quite difficult as we have another technology in mind, namely Apache Spark, which was really strong in this area and more matured. But we decided to go with Flink in the end considering its pros. However, we have also detailed Spark a bit as opposed to other chapters in which we have just named other options and left it, because of its significance in this space.

This chapter will take you through the Data Ingestion Layer and its working first and then it will dive deep into the technology, Flink.

Data Ingestion Layer

Data ingestion...

The rest of the chapter is locked

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Authors (3)

Mishra

Mishra

Vivek Mishra is an IT professional with more than nine years of experience in various technologies like Java, J2ee, Hibernate, SCA4J, Mule, Spring, Cassandra, HBase, MongoDB, REDIS, Hive, Hadoop. He has been a contributor for open source like Apache Cassandra and lead committer for Kundera(JPA 2.0 compliant Object-Datastore Mapping Library for NoSQL Datastores like Cassandra, HBase, MongoDB and REDIS). Mr Mishra in his previous experience has enjoyed long lasting partnership with most recognizable names in SCM, Banking and finance industries, employing industry standard full software life cycle methodologies Agile and SCRUM. He is currently employed with Impetus infotech pvt. ltd. He has undertaken speaking engagements in cloud camp and Nasscom Big data seminar and is an active blogger and can be followed at mevivs.wordpress.com

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John

John

Tomcy John lives in Dubai (United Arab Emirates), hailing from Kerala (India), and is an enterprise Java specialist with a degree in Engineering (B Tech) and over 14 years of experience in several industries. He's currently working as principal architect at Emirates Group IT, in their core architecture team. Prior to this, he worked with Oracle Corporation and Ernst & Young. His main specialization is in building enterprise-grade applications and he acts as chief mentor and evangelist to facilitate incorporating new technologies as corporate standards in the organization. Outside of his work, Tomcy works very closely with young developers and engineers as mentors and speaks at various forums as a technical evangelist on many topics ranging from web and middleware all the way to various persistence stores.

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Pankaj Misra

Pankaj Misra

Pankaj Misra has been a technology evangelist, holding a bachelor's degree in engineering, with over 16 years of experience across multiple business domains and technologies. He has been working with Emirates Group IT since 2015, and has worked with various other organizations in the past. He specializes in architecting and building multi-stack solutions and implementations. He has also been a speaker at technology forums in India and has built products with scale-out architecture that support high-volume, near-real-time data processing and near-real-time analytics.

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