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Hadoop: The Definitive Guide

Storage and Analysis at Internet Scale

Specificaties
Paperback, 727 blz. | Engels
O'Reilly | 4e druk, 2015
ISBN13: 9781491901632
Rubricering
Hoofdrubriek : Computer en informatica
O'Reilly 4e druk, 2015 9781491901632
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Samenvatting

Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.

Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthcare systems and genomics data processing.

- Learn fundamental components such as MapReduce, HDFS, and YARN
- Explore MapReduce in depth, including steps for developing applications with it
- Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN
- Learn two data formats: Avro for data serialization and Parquet for nested data
- Use data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer)
- Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop
- Learn the HBase distributed database and the ZooKeeper distributed configuration service

Specificaties

ISBN13:9781491901632
Taal:Engels
Bindwijze:paperback
Aantal pagina's:727
Uitgever:O'Reilly
Druk:4
Verschijningsdatum:30-3-2015

Over Tom White

Tom White has been an Apache Hadoop committer since February 2007, and is a member of the Apache Software Foundation. He works for Cloudera, a company set up to offer Hadoop support and training. Previously he was as an independent Hadoop consultant, working with companies to set up, use, and extend Hadoop. He has written numerous articles for O'Reilly, java.net and IBM's developerWorks, and has spoken at several conferences, including at ApacheCon 2008 on Hadoop. Tom has a Bachelor's degree in Mathematics from the University of Cambridge and a Master's in Philosophy of Science from the University of Leeds, UK.

Andere boeken door Tom White

Inhoudsopgave

Part 1: Hadoop Fundamentals
1. Meet Hadoop
2. MapReduce
3. The Hadoop Distributed Filesystem
4. YARN
5. Hadoop I/O

Part 2: MapReduce
1. Developing a MapReduce Application
2. How MapReduce Works
3. MapReduce Types and Formats
4. MapReduce Features

Part 3: Hadoop Operations
1. Setting Up a Hadoop Cluster
2. Administering Hadoop

Part 4: Related Projects
1. Avro
2. Parquet
3. Flume
4. Sqoop
5. Pig
6. Hive
7. Crunch
8. Spark
9. HBase
10. ZooKeeper

Case Studies
1. Composable Data at Cerner
2. Biological Data Science: Saving Lives with Software
3. Cascading
Appendix A: Installing Apache Hadoop
Appendix B: Cloudera’s Distribution Including Apache Hadoop
Appendix C: Preparing the NCDC Weather Data
Appendix D: The Old and New Java MapReduce APIs

Part 5: Case Studies
1. Composable Data at Cerner
2. Biological Data Science: Saving Lives with Software
3. Cascading
Appendix A: Installing Apache Hadoop
Appendix B: Cloudera’s Distribution Including Apache Hadoop
Appendix C: Preparing the NCDC Weather Data
Appendix D: The Old and New Java MapReduce APIs

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        Hadoop: The Definitive Guide