Data
Reader small image

You're reading from  Apache Hadoop 3 Quick Start Guide

Product typeBook
Published inOct 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788999830
Edition1st Edition
Languages
Java
Tools
Hadoop
Concepts
Data Analysis
Right arrow
Author (1)
Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
author image
Hrishikesh Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
Read more about Hrishikesh Vijay Karambelkar

Right arrow

Setting up a MapReduce project

In this section, we will learn how to create the environment to start writing applications for MapReduce programming. The programming is typically done in Java. The development of a MapReduce application follows standard Java development principles as follows:

  1. Usually, developers write the programs in a development environment such as Eclipse or NetBeans.
  2. Developers do unit testing usually with a small subset of data. In case of failure, they can run an IDE Debugger to do fault identification.
  3. It is then packaged in JAR files and is tested in a standalone fashion for functionality.
  4. Developers should ideally write unit test cases to test each functionality.
  5. Once it is tested in standalone mode, developers should test it in a cluster or pseudo-distributed environment with full datasets. This will expose more problems, and they can be fixed. Here debugging...
lock icon
The rest of the page is locked
Previous Page
Chapter 5 of 10, Page 6
Next Page
You have been reading a chapter from
Apache Hadoop 3 Quick Start Guide
Published in: Oct 2018Publisher: PacktISBN-13: 9781788999830
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Hrishikesh Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
Read more about Hrishikesh Vijay Karambelkar

Other recommended products

Related to this chapter

Hadoop 2.x Administration Cookbook

Hadoop 2.x Administration Cookbook

A practical and use case driven approach to Hadoop administration with coverage on a vast array of topics including Hadoop cluster installation, performance tuning, cluster planning, security, and much more. This book covers Hadoop from the perspective of running clusters in critical and large environments with complex data and at scale.

BookMay 2017348 pages
Mastering Hadoop 3

Mastering Hadoop 3

This is a comprehensive guide to understand advanced concepts of Hadoop ecosystem. You will learn how Hadoop works internally, and build solutions to some of real world use cases. Finally, you will have a solid understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable Big Data pipeline

BookFeb 2019544 pages
Mastering Apache Storm

Mastering Apache Storm

With real-world examples and clear explanations, this book will ensure you will have a thorough mastery Apache Storm.You’ll get an understanding of deploying Storm on clusters. Introduce yourself to topics such as trident topology, monitoring, Storm Parallelism, scheduler and log processing. Learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm.You will be able to use the knowledge to develop efficient, distributed real-time applications to cater to your business needs.

BookAug 2017284 pages
Apache Hive Essentials

Apache Hive Essentials

Apache Hive helps you deal with data summarization, queries, and analysis for huge amounts of data. This book will give you a background in big data, and familiarize you with your Hive working environment. Next you will cover advanced topics like performance and security in Hive and how to work efficiently to find solutions to big data problems.

BookJun 2018210 pages
HBase High Performance Cookbook

HBase High Performance Cookbook

BookJan 2017350 pages
Big Data Analytics with Hadoop 3

Big Data Analytics with Hadoop 3

Apache Hadoop is the most popular platform for big data processing to build powerful analytics solutions. This book shows you how to do just that, with the help of practical examples. You will be well-versed with the analytical capabilities of Hadoop ecosystem with Apache Spark and Apache Flink to perform big data analytics by the end of this book.

BookMay 2018482 pages
Data Lake for Enterprises

Data Lake for Enterprises

The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.

BookMay 2017596 pages
Modern Big Data Processing with Hadoop

Modern Big Data Processing with Hadoop

This book presents unique techniques to conquer different Big Data processing and analytics challenges using Hadoop. Practical examples are provided to boost your understanding of Big Data concepts and their implementation. By the end of the book, you will have all the knowledge and skills you need to become a true Big Data expert.

BookMar 2018394 pages
Hands-on DevOps

Hands-on DevOps

VideoDec 20170
Practical Big Data Analytics

Practical Big Data Analytics

Big Data analytics relates to the strategies used by enterprises to process and analyze large amounts of data to bring out hidden insights. With the help of open source and enterprise tools, such as R, Python, Hadoop, and Spark, you will learn how to effectively mine your Big Data. By the end of this book, you will have a clear understanding of how you can develop your own Big Data analytics solutions using different tools and methods.

BookJan 2018412 pages
Practical Real-time Data Processing and Analytics

Practical Real-time Data Processing and Analytics

Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you’ll be equipped with a clear understanding of how to solve challenges on your own.

BookSep 2017360 pages
Apache Spark 2.x for Java Developers

Apache Spark 2.x for Java Developers

Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone.

BookJul 2017350 pages

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2
Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5
Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages
TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages