Hadoop with Python (Hadoop với Python) - Zachary Radtka & Donald Miner
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Sách hướng dẫn sử dụng Hadoop với Python, bao gồm các chương về HDFS, MapReduce, Pig, Spark và quản lý luồng công việc.
- Dokumentenname
- Hadoop with Python (Hadoop với Python) - Zachary Radtka & Donald Miner
- Autor (im Dokument)
- Zachary Radtka & Donald Miner
- Inhalt
- Cuốn sách 'Hadoop with Python' hướng dẫn sử dụng Python để tương tác và khai thác sức mạnh của Hadoop, bao gồm HDFS, MapReduce, Pig, Spark và quản lý workflow.
- Inhaltsverzeichnis
- Source Code
- CHAPTER 1
- Hadoop Distributed File System (HDFS)
- Overview of HDFS
- Interacting with HDFS
- Snakebite
- Chapter Summary
- 2. MapReduce with Python
- Data Flow
- Hadoop Streaming
- mrjob
- Chapter Summary
- 3. Pig and Python
- WordCount in Pig
- Running Pig
- Pig Latin
- Extending Pig with Python
- Chapter Summary
- 4. Spark with Python
- WordCount in PySpark
- PySpark
- Resilient Distributed Datasets (RDDs)
- Text Search with PySpark
- Chapter Summary
- 5. Workflow Management with Python
- Installation
- Workflows
- An Example Workflow
- Hadoop Workflows
- Chapter Summary
- Seiten
- 71 Seiten
- Hochgeladen von
- Uni24h
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Trích nội dung tài liệu
Hadoop with Python Zachary Radtka & Donald Miner Hadoop with Python Zachary Radtka & Donald Miner Hadoop with Python by Zachary Radtka and Donald Miner Copyright © 2016 O’Reilly Media, Inc.. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://safaribooksonline.com). For more information, contact our corporate/institutional sales department: 800-998-9938 or corporate@oreilly.com. Editor: Meghan Blanchette Production Editor: Kristen Brown Copyeditor: Sonia Saruba October 2015: Interior Designer: David Futato Cover Designer: Karen Montgomery Illustrator: Rebecca Demarest First Edition Revision History for the First Edition 2015-10-19 First Release See http://oreilly.com/catalog/errata.csp?isbn=9781491942277 for release details. While the publisher and the authors have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is sub‐ ject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights. 978-1-491-94227-7 [LSI] Table of Contents Source Code. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii 1. Hadoop Distributed File System (HDFS). . . . . . . . . . . . . . . . . . . . . . . . . 1 Overview of HDFS Interacting with HDFS Snakebite Chapter Summary 2 3 7 13 2. M
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Hadoop with Python (Hadoop với Python) - Zachary Radtka & Donald Miner
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Trích nội dung tài liệu
Hadoop with Python Zachary Radtka & Donald Miner Hadoop with Python Zachary Radtka & Donald Miner Hadoop with Python by Zachary Radtka and Donald Miner Copyright © 2016 O’Reilly Media, Inc.. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://safaribooksonline.com). For more information, contact our corporate/institutional sales department: 800-998-9938 or corporate@oreilly.com. Editor: Meghan Blanchette Production Editor: Kristen Brown Copyeditor: Sonia Saruba October 2015: Interior Designer: David Futato Cover Designer: Karen Montgomery Illustrator: Rebecca Demarest First Edition Revision History for the First Edition 2015-10-19 First Release See http://oreilly.com/catalog/errata.csp?isbn=9781491942277 for release details. While the publisher and the authors have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is sub‐ ject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights. 978-1-491-94227-7 [LSI] Table of Contents Source Code. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii 1. Hadoop Distributed File System (HDFS). . . . . . . . . . . . . . . . . . . . . . . . . 1 Overview of HDFS Interacting with HDFS Snakebite Chapter Summary 2 3 7 13 2. M
- Dokumentenname
- Hadoop with Python (Hadoop với Python) - Zachary Radtka & Donald Miner
- Autor (im Dokument)
- Zachary Radtka & Donald Miner
- Inhalt
- Cuốn sách 'Hadoop with Python' hướng dẫn sử dụng Python để tương tác và khai thác sức mạnh của Hadoop, bao gồm HDFS, MapReduce, Pig, Spark và quản lý workflow.
- Inhaltsverzeichnis
- Source Code
- CHAPTER 1
- Hadoop Distributed File System (HDFS)
- Overview of HDFS
- Interacting with HDFS
- Snakebite
- Chapter Summary
- 2. MapReduce with Python
- Data Flow
- Hadoop Streaming
- mrjob
- Chapter Summary
- 3. Pig and Python
- WordCount in Pig
- Running Pig
- Pig Latin
- Extending Pig with Python
- Chapter Summary
- 4. Spark with Python
- WordCount in PySpark
- PySpark
- Resilient Distributed Datasets (RDDs)
- Text Search with PySpark
- Chapter Summary
- 5. Workflow Management with Python
- Installation
- Workflows
- An Example Workflow
- Hadoop Workflows
- Chapter Summary
- Seiten
- 71 Seiten
- Hochgeladen von
- Uni24h
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