0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Apache Hadoop 3 Quick Start Guide

You're reading from Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics

Product type Paperback

Published in Oct 2018

Publisher Packt

ISBN-13 9781788999830

Length 220 pages

Edition 1st Edition

Languages

Java

Tools

Hadoop

Concepts

Big Data

Author (1):

Hrishikesh Vijay Karambelkar

View More author details

Table of Contents (10) Chapters

Preface

1. Hadoop 3.0 - Background and Introduction

2. Planning and Setting Up Hadoop Clusters FREE CHAPTER

3. Deep Dive into the Hadoop Distributed File System

4. Developing MapReduce Applications

5. Building Rich YARN Applications

6. Monitoring and Administration of a Hadoop Cluster

7. Demystifying Hadoop Ecosystem Components

8. Advanced Topics in Apache Hadoop

9. Other Books You May Enjoy

Leave a review - let other readers know what you think

HDFS configuration files

Unlike lots of software, Apache Hadoop provides few configuration files that give you flexibility when configuring your Hadoop cluster. Among them are two primary files that influence the overall functioning of HDFS:

core-site.xml: This file is primarily used to configure Hadoop IOs; primarily, all of the common settings of HDFS and MapReduce would go here.
hdfs-site.xml: This file is the main file for all HDFS configuration. Anything pertaining to NameNode, SecondaryNameNode, or DataNode can be found here.

The core-site file has more than 315 parameters that can be set. We will look at different configurations in the administration section. The full list can be seen here (https://hadoop.apache.org/docs/r3.1.0/hadoop-project-dist/hadoop-common/core-default.xml). We will cover some important parameters that you may need for configuration:

Property...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (1)

Vijay Karambelkar

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.

See other products by 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.

May 2017 11h 36m

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.

May 2017 11h 36m

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

Feb 2019 18h 8m

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.

Aug 2017 9h 28m

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.

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.

HBase High Performance Cookbook

HBase High Performance Cookbook

Jan 2017 11h 40m

HBase High Performance Cookbook

HBase High Performance Cookbook

Jan 2017 11h 40m

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.

May 2018 16h 4m

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.

May 2017 19h 52m

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.

May 2017 19h 52m

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.

May 2017 19h 52m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m