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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

Product type Paperback

Published in Sep 2016

Publisher Packt

ISBN-13 9781783980307

Length 316 pages

Edition 1st Edition

Languages

Java

Tools

Hadoop

Concepts

Data Processing

Authors (3):

Sudheesh Narayan

Tanmay Deshpande

Anurag Shrivastava

View More author details

Table of Contents (9) Chapters

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

Apache Flume

Data Lakes can be filled with data coming from multiple sources at different speeds. The tools in the ingestion tier, such as Apache Flume, can handle the massive volume of incoming data and store it on HDFS.

Apache Flume is a distributed and scalable tool that can reliably collect the data from different sources and move it to a centralized data store on HDFS. Massive volumes of data can be generated in the form of weblogs or sensor data and stored on HDFS for analysis and distribution. Though the typical use cases of Apache Flume involve collection and storage of log data, it can be used to ingest any kind of data in HDFS.

Understanding the Design of Flume

Flume is an agent-based system. It contains three components:

Source: The source receives the events from an external system or from the sink of another Flume agent.
Channel: This offers the means to let events flow from a source to a sink. A channel is a transient store that holds the event coming from a source until it is...

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Authors (3)

Anurag Shrivastava

Anurag Shrivastava

Anurag Shrivastava is an entrepreneur, blogger, and manager living in Almere near Amsterdam in the Netherlands. He started his IT journey by writing a small poker program on a mainframe computer 30 years back, and he fell in love with software technology. In his 24-year career in IT, he has worked for companies of various sizes, ranging from Internet start-ups to large system integrators in Europe. Anurag kick-started the Agile software movement in North India when he set up the Indian business unit for the Dutch software consulting company Xebia. He led the growth of Xebia India as the managing director of the company for over 6 years and made the company a well-known name in the Agile consulting space in India. He also started the Agile NCR Conference, which has become a heavily visited annual event on Agile best practices, in the New Delhi Capital Region. Anurag became active in the big data space when he joined ING Bank in Amsterdam as the manager of the customer intelligence department, where he set up their first Hadoop cluster and implemented several transformative technologies, such as Netezza and R, in his department. He is now active in the payment technology and APIs, using technologies such as Node.js and MongoDB. Anurag loves to cycle on the reclaimed island of Flevoland in the Netherlands. He also likes listening to Hindi film music.

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Sudheesh Narayan

Sudheesh Narayan

Sudheesh Narayanan is a Technology Strategist and Big Data Practitioner with expertise in technology consulting and implementing Big Data solutions. With over 15 years of IT experience in Information Management, Business Intelligence, Big Data & Analytics, and Cloud & J2EE application development, he provided his expertise in architecting, designing, and developing Big Data products, Cloud management platforms, and highly scalable platform services. His expertise in Big Data includes Hadoop and its ecosystem components, NoSQL databases (MongoDB, Cassandra, and HBase), Text Analytics (GATE and OpenNLP), Machine Learning (Mahout, Weka, and R), and Complex Event Processing. Sudheesh is currently working with Genpact as the Assistant Vice President and Chief Architect – Big Data, with focus on driving innovation and building Intellectual Property assets, frameworks, and solutions. Prior to Genpact, he was the co-inventor and Chief Architect of the Infosys BigDataEdge product.

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Deshpande

Deshpande

Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Schlumberger as a Big Data Architect in Pune, India. He has interest in a wide range of technologies, such as Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as oil and gas, finance, telecom, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has great interest in open source technologies and has been promoting them through his talks. Before Schlumberger, he worked with Symantec, Lumiata, and Infosys. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. He regularly blogs on his website http://hadooptutorials.co.in. You can connect with him on LinkedIn at https://www.linkedin.com/in/deshpandetanmay/. He has also authored Mastering DynamoDB, published in August 2014, DynamoDB Cookbook, published in September 2015, Hadoop Real World Solutions Cookbook-Second Edition, published in March 2016, Hadoop: Data Processing and Modelling, published in August, 2016, and Hadoop Blueprints, published in September 2016, all by Packt Publishing.

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