Language: English
ISBN 10: 7115655774 ISBN 13: 9787115655776
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2025-03 Pages: 236 Publisher: Posts & Telecom Press This book provides a comprehensive introduction to the application and development of Hadoop. It comprises 11 projects. mainly covering the basic concepts and application areas of big data. the origins of Hadoop and its ecosystem. building a Hadoop cluster. HDF. MapReduce distributed computing. ZooKeeper. Hive data warehouse. HBAE practical application. Flume practical application. Kafka practical applic.
Language: Chinese
Published by China Water Conservancy and Hydropower Press, 2018
ISBN 10: 7517069039 ISBN 13: 9787517069034
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2018-09-01 Pages: 176 Language: Chinese Publisher: China Water Power Press Hadoop Big Data development of new engineering talent training general higher education planning materials (big data professional) to explain the principles applied by the way the system case the Hadoop big data development. orchestrated the principle analysis. ring .
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2021-06-01 Pages: 237 Language: Chinese Publisher: Chemical Industry Press Hadoop is currently a popular big data processing and analysis platform.?Hadoop big data development basic project tutorial divides the big data platform related content into 8 projects. namely the big data era. Hadoop basic environment. Hadoop environment construction. distributed storage HDFS. MapReduce distributed programming. Hadoop data warehouse Hive . Hadoop database HBas. coordination syste.
paperback. Condition: New. Paperback. Pub Date: 2018-12-01 Pages: 192 Language: Chinese Publisher: People Post Press textbook Big Data Hadoop cluster deployment and development platform Hua Sheng statecraft ICT professional group textbook series describes the pseudo-distributed Hadoop to build and methods of use; 2 major projects for Hadoop core elements. .
paperback. Condition: New. Paperback. Pub Date: 2019-03-01 Pages: 226 Language: Chinese Publisher: People's Posts and Telecommunications Press This book will apply and develop the mainstream technology framework of the big data technology ecosystem. build a Hadoop big data distributed system cluster platform. big data Distributed file system HDFS (Hadoop Distributed .
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2022-08-01 Language: Chinese Publisher: People's Posts and Telecommunications Publishing House This book is task-oriented and comprehensively introduces Hadoop big data technology and its ecosystem components Hive and HBase. The book consists of 8 chapters. including the introduction of Hadoop. the construction and configuration of Hadoop clusters. basic operations of Hadoop. introductory programming of MapReduce. advanced programming of MapReduce. Hive data warehouse. HB.
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2020-08-01 Pages: 268 Language: Chinese Publisher: People's Posts and Telecommunications Publishing House is divided into 11 chapters. Chapter 1 provides an overall introduction to big data and Hadoop. and Chapter 2 explains how to build a Hadoop cluster.?Chapters 3-5 explain the HDFS distributed file system. the MapReduce distributed computing framework. and the Zookeeper distributed coordination service.?Chapter 6 explains the new features of Hadoop2.0.?Chapters 7-10 ma.
paperback. Condition: New. Paperback. Pub Date: 2017-01-01 Pages: 425 Language: Chinese Publisher: tsinghua university press the Hadoop + Spark big huge amounts of data analysis and machine learning to integrate development of actual combat. from the simple principle of big data. and machine learning introduction and explanation of big data and the basic concept of machine learning.
Language: Chinese
Published by Machinery Industry Press, 2014
ISBN 10: 7111452445 ISBN 13: 9787111452447
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date :2014-01-01 Pages: 408 Language: Chinese Publisher: China Machine Press Big Data Technology Series: Hadoop application development techniques explain. a total of 12 chapters. 1 to 2 chapter describes in detail the Hadoop ecosystem. key technologies. and installation and configuration; Chapter 3 is MapReduce Getting Started. allowing readers to understand the whole development process; 4 to 5 chapters explain in detail the HDFS distributed file system and Hadoop file IO; Ch.
ISBN 10: 7115453608 ISBN 13: 9787115453600
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2017-05-01 Pages: $number Language: Chinese Publisher: People's post and Telecommunications publishing house This book is an introductory book on Hadoop Learning. a total of 11 chapters. divided into basic and improved two parts. The basic article includes chapter 1th to 6th. including Hadoop overview. Hadoop infrastructure configuration. distributed .
Language: Chinese
Published by Tsinghua University Press, 2022
ISBN 10: 7302618003 ISBN 13: 9787302618003
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2022-09-01 Pages: 414 Language: Chinese Publisher: Tsinghua University Press This book takes Hadoop 3.x and its surrounding framework as the main line. and introduces the mainstream big data development technology of the entire Hadoop ecosystem. The book consists of 16 chapters. Chapter 1 explains the installation of the CentOS 7 operating system in VMware; Chapter 2 explains the configuration of the operating system cluster environment; Chapters 3 to 16 explain the frame.
ISBN 10: 7115477647 ISBN 13: 9787115477644
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2018-04-01 Pages: 367 Language: Chinese Publisher: people's posts and telecommunications press big data technology let us in the form of a * * * *. to analyze huge amounts of data. and get great value products and services. eventually forming force of change.Book two mainstream technology of data around Hadoop and Spark.