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Mastering Hadoop 3
Big data processing at scale to unlock unique business insights
Taschenbuch von Chanchal Singh (u. a.)
Sprache: Englisch

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Beschreibung
A comprehensive guide to mastering the most advanced Hadoop 3 concepts

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

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

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.
A comprehensive guide to mastering the most advanced Hadoop 3 concepts

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

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

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.
Über den Autor
Chanchal Singh has over half decades experience in Product Development and Architect Design. He has been working very closely with leadership team of various companies including directors ,CTO's and Founding members to define technical road-map for company.He is the Founder and Speaker at meetup group Big Data and AI Pune MeetupExperience Speaks. He is Co-Author of Book Building Data Streaming Application with Apache Kafka. He has a Bachelor's degree in Information Technology from the University of Mumbai and a Master's degree in Computer Application from Amity University. He was also part of the Entrepreneur Cell in IIT Mumbai. His Linkedin Profile can be found at with the username Chanchal Singh.
Details
Erscheinungsjahr: 2019
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 544
ISBN-13: 9781788620444
ISBN-10: 1788620445
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Singh, Chanchal
Kumar, Manish
Hersteller: Packt Publishing
Maße: 235 x 191 x 30 mm
Von/Mit: Chanchal Singh (u. a.)
Erscheinungsdatum: 28.02.2019
Gewicht: 1,003 kg
preigu-id: 115693513
Über den Autor
Chanchal Singh has over half decades experience in Product Development and Architect Design. He has been working very closely with leadership team of various companies including directors ,CTO's and Founding members to define technical road-map for company.He is the Founder and Speaker at meetup group Big Data and AI Pune MeetupExperience Speaks. He is Co-Author of Book Building Data Streaming Application with Apache Kafka. He has a Bachelor's degree in Information Technology from the University of Mumbai and a Master's degree in Computer Application from Amity University. He was also part of the Entrepreneur Cell in IIT Mumbai. His Linkedin Profile can be found at with the username Chanchal Singh.
Details
Erscheinungsjahr: 2019
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 544
ISBN-13: 9781788620444
ISBN-10: 1788620445
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Singh, Chanchal
Kumar, Manish
Hersteller: Packt Publishing
Maße: 235 x 191 x 30 mm
Von/Mit: Chanchal Singh (u. a.)
Erscheinungsdatum: 28.02.2019
Gewicht: 1,003 kg
preigu-id: 115693513
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