Mastering Hadoop. 3

Big data processing at scale to unlock unique business insights

Chanchal Singh , Manish Kumar 지음

Packt(GCO Science) 2019년 02월 28일 출간

작품소개

책소개

▶Book Description
Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency.

With this guide, you’ll understand advanced concepts of the Hadoop ecosystem tool. You’ll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You’ll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you’ll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals.

By the end of this book, you’ll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you’ll be equipped to tackle a range of real-world problems in data pipelines.

▶What You Will Learn
？ Gain an in-depth understanding of distributed computing using Hadoop 3
？ Develop enterprise-grade applications using Apache Spark, Flink, and more
？ Build scalable and high-performance Hadoop data pipelines with security, monitoring, and data governance
？ Explore batch data processing patterns and how to model data in Hadoop
？ Master best practices for enterprises using, or planning to use, Hadoop 3 as a data platform
？ Understand security aspects of Hadoop, including authorization and authentication

▶Key Features
？ Get to grips with the newly introduced features and capabilities of Hadoop 3
？ Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystem
？ Sharpen your Hadoop skills with real-world case studies and code

▶Who This Book Is For
If you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. You’ll also find this book useful if you’re a Hadoop professional looking to strengthen your knowledge of the Hadoop ecosystem. Fundamental knowledge of the Java programming language and basics of Hadoop is necessary to get started with this book.

목차

▶TABLE of CONTENTS
1: JOURNEY TO HADOOP 3
2: DEEP DIVE INTO THE HADOOP DISTRIBUTED FILE SYSTEM
3: YARN RESOURCE MANAGEMENT IN HADOOP
4: INTERNALS OF MAPREDUCE
5: SQL ON HADOOP
6: REAL-TIME PROCESSING ENGINES
7: WIDELY USED HADOOP ECOSYSTEM COMPONENTS
8: DESIGNING APPLICATIONS IN HADOOP
9: REAL-TIME STREAM PROCESSING IN HADOOP
10: MACHINE LEARNING IN HADOOP
11: HADOOP IN THE CLOUD
12: HADOOP CLUSTER PROFILING
13: WHO CAN DO WHAT IN HADOOP
14: NETWORK AND DATA SECURITY
15: MONITORING HADOOP

출판사 서평

▶ Preface
In this book, we will examine advanced concepts of the Hadoop ecosystem and build highperformance Hadoop data pipelines with security, monitoring, and data governance.

We will also promote enterprise-grade applications using Apache Spark and Flink. This book teaches the internal workings of Hadoop, which includes building solutions to some real-world use cases. We will master the best practices for enterprises using Hadoop 3 as a data platform, including authorization and authentication. We will also learn how to model data in Hadoop, gain an in-depth understanding of distributed computing using Hadoop 3, and explore the different batch data-processing patterns.

Lastly, we will understand how components in the Hadoop ecosystem can be integrated effectively to implement a fast and reliable big data pipeline.

작가정보

저자(글) Chanchal Singh

저자(글) Manish Kumar